UNFINNISHED: Commit for Syncing Repos
This commit is contained in:
Sebastian Lenzlinger
parent
101243fae8
commit
b6715a0ff1
217
requirements.txt
217
requirements.txt
@ -1,102 +1,119 @@
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anyio==4.0.0
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appnope==0.1.3
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argon2-cffi==23.1.0
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argon2-cffi-bindings==21.2.0
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arrow==1.3.0
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asttokens==2.4.1
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async-lru==2.0.4
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attrs==23.1.0
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Babel==2.13.1
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beautifulsoup4==4.12.2
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black==23.11.0
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bleach==6.1.0
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certifi==2023.7.22
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cffi==1.16.0
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charset-normalizer==3.3.2
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click==8.1.7
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comm==0.2.0
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debugpy==1.8.0
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decorator==5.1.1
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defusedxml==0.7.1
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executing==2.0.1
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fastjsonschema==2.19.0
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fqdn==1.5.1
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idna==3.4
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ipykernel==6.26.0
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ipython==8.17.2
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ipywidgets==8.1.1
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isoduration==20.11.0
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jedi==0.19.1
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Jinja2==3.1.2
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json5==0.9.14
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jsonpointer==2.4
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jsonschema==4.19.2
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jsonschema-specifications==2023.11.1
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jupyter==1.0.0
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jupyter-console==6.6.3
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jupyter-events==0.9.0
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jupyter-lsp==2.2.0
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jupyter_client==8.6.0
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jupyter_core==5.5.0
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jupyter_server==2.10.1
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jupyter_server_terminals==0.4.4
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jupyterlab==4.0.8
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jupyterlab-pygments==0.2.2
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jupyterlab-widgets==3.0.9
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jupyterlab_server==2.25.1
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MarkupSafe==2.1.3
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matplotlib-inline==0.1.6
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mistune==3.0.2
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mypy-extensions==1.0.0
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nbclient==0.9.0
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nbconvert==7.11.0
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nbformat==5.9.2
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nest-asyncio==1.5.8
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notebook==7.0.6
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notebook_shim==0.2.3
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numpy==1.26.2
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overrides==7.4.0
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packaging==23.2
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pandas==2.1.3
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pandocfilters==1.5.0
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parso==0.8.3
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pathspec==0.11.2
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pexpect==4.8.0
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platformdirs==4.0.0
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prometheus-client==0.18.0
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prompt-toolkit==3.0.41
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psutil==5.9.6
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ptyprocess==0.7.0
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pure-eval==0.2.2
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pycparser==2.21
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Pygments==2.16.1
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python-dateutil==2.8.2
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python-json-logger==2.0.7
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pytz==2023.3.post1
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PyYAML==6.0.1
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pyzmq==25.1.1
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qtconsole==5.5.1
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QtPy==2.4.1
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referencing==0.31.0
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requests==2.31.0
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rfc3339-validator==0.1.4
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rfc3986-validator==0.1.1
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rpds-py==0.13.0
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Send2Trash==1.8.2
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six==1.16.0
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sniffio==1.3.0
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soupsieve==2.5
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stack-data==0.6.3
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terminado==0.18.0
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tinycss2==1.2.1
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tornado==6.3.3
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traitlets==5.13.0
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types-python-dateutil==2.8.19.14
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tzdata==2023.3
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uri-template==1.3.0
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urllib3==2.1.0
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wcwidth==0.2.10
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webcolors==1.13
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webencodings==0.5.1
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websocket-client==1.6.4
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widgetsnbextension==4.0.9
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geopandas~=0.14.1Package Version
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------------------------- ------------
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anyio 4.0.0
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appnope 0.1.3
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argon2-cffi 23.1.0
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argon2-cffi-bindings 21.2.0
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arrow 1.3.0
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asttokens 2.4.1
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async-lru 2.0.4
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attrs 23.1.0
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Babel 2.13.1
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beautifulsoup4 4.12.2
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black 23.11.0
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bleach 6.1.0
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certifi 2023.7.22
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cffi 1.16.0
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charset-normalizer 3.3.2
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click 8.1.7
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click-plugins 1.1.1
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cligj 0.7.2
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comm 0.2.0
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debugpy 1.8.0
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decorator 5.1.1
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defusedxml 0.7.1
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executing 2.0.1
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fastjsonschema 2.19.0
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fiona 1.9.5
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fqdn 1.5.1
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GeoAlchemy2 0.14.2
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geopandas 0.14.1
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idna 3.4
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ipykernel 6.26.0
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ipython 8.17.2
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ipywidgets 8.1.1
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isoduration 20.11.0
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jedi 0.19.1
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Jinja2 3.1.2
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json5 0.9.14
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jsonpointer 2.4
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jsonschema 4.19.2
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jsonschema-specifications 2023.11.1
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jupyter 1.0.0
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jupyter_client 8.6.0
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jupyter-console 6.6.3
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jupyter_core 5.5.0
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jupyter-events 0.9.0
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jupyter-lsp 2.2.0
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jupyter_server 2.10.1
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jupyter_server_terminals 0.4.4
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jupyterlab 4.0.8
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jupyterlab-pygments 0.2.2
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jupyterlab_server 2.25.1
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jupyterlab-widgets 3.0.9
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MarkupSafe 2.1.3
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matplotlib-inline 0.1.6
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mistune 3.0.2
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mypy-extensions 1.0.0
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nbclient 0.9.0
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nbconvert 7.11.0
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nbformat 5.9.2
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nest-asyncio 1.5.8
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notebook 7.0.6
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notebook_shim 0.2.3
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numpy 1.26.2
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overrides 7.4.0
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packaging 23.2
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pandas 2.1.3
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pandocfilters 1.5.0
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parso 0.8.3
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pathspec 0.11.2
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pexpect 4.8.0
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pip 23.3.1
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platformdirs 4.0.0
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prometheus-client 0.18.0
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prompt-toolkit 3.0.41
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psutil 5.9.6
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psycopg2 2.9.9
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ptyprocess 0.7.0
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pure-eval 0.2.2
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pycparser 2.21
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Pygments 2.16.1
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pyproj 3.6.1
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python-dateutil 2.8.2
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python-json-logger 2.0.7
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pytz 2023.3.post1
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PyYAML 6.0.1
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pyzmq 25.1.1
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qtconsole 5.5.1
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QtPy 2.4.1
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referencing 0.31.0
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requests 2.31.0
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rfc3339-validator 0.1.4
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rfc3986-validator 0.1.1
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rpds-py 0.13.0
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Send2Trash 1.8.2
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setuptools 68.2.2
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shapely 2.0.2
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six 1.16.0
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sniffio 1.3.0
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soupsieve 2.5
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SQLAlchemy 2.0.23
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stack-data 0.6.3
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terminado 0.18.0
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tinycss2 1.2.1
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tornado 6.3.3
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traitlets 5.13.0
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types-python-dateutil 2.8.19.14
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typing_extensions 4.8.0
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tzdata 2023.3
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uri-template 1.3.0
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urllib3 2.1.0
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wcwidth 0.2.10
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webcolors 1.13
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webencodings 0.5.1
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websocket-client 1.6.4
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widgetsnbextension 4.0.9
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@ -65,7 +65,7 @@ def process_accident_data():
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acc_cols_to_keep = ['AccidentUID', 'AccidentHour', 'AccidentYear', 'AccidentWeekDay_en', 'AccidentType',
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'AccidentSeverityCategory', 'AccidentInvolvingPedestrian', 'AccidentInvolvingBicycle',
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'AccidentInvolvingMotorcycle', 'RoadType', 'RoadType_en', 'AccidentLocation_CHLV95_E',
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'AccidentLocation_CHLV95_N', 'geometry']
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'AccidentLocation_CHLV95_N', 'geometry', 'AccidentMonth']
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cleaned_acc_df = acc_df_unified[acc_cols_to_keep]
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return cleaned_acc_df
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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@ -13,15 +13,15 @@
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2023-12-02T20:45:25.057214Z",
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"start_time": "2023-12-02T20:45:24.634062Z"
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"end_time": "2023-12-02T23:43:55.980827Z",
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"start_time": "2023-12-02T23:43:55.546732Z"
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}
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},
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"id": "be55b25929d95559"
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"outputs": [
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{
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"name": "stderr",
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@ -44,52 +44,86 @@
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2023-12-02T20:49:39.247032Z",
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"start_time": "2023-12-02T20:45:26.952158Z"
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"end_time": "2023-12-02T23:48:08.233784Z",
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"start_time": "2023-12-02T23:43:55.980667Z"
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}
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},
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"id": "dd3831953afdeb72"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 3,
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"outputs": [],
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"source": [
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"test_df = miv_df\n"
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],
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2023-12-02T23:48:08.239957Z",
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"start_time": "2023-12-02T23:48:08.230590Z"
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}
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},
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"id": "14471cd78389ce4d"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 4,
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"outputs": [],
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"source": [
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"test_df.dtypes\n",
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"date_object = pd.to_datetime(test_df['Date'])\n"
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],
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2023-12-02T23:48:09.754205Z",
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"start_time": "2023-12-02T23:48:08.232651Z"
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}
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},
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"id": "c70d21adef38fd68"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"execution_count": 5,
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"outputs": [
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{
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"ename": "KeyError",
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"evalue": "'Weekday_Name'",
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"output_type": "error",
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"traceback": [
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"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
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"\u001B[0;31mKeyError\u001B[0m Traceback (most recent call last)",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/core/indexes/base.py:3790\u001B[0m, in \u001B[0;36mIndex.get_loc\u001B[0;34m(self, key)\u001B[0m\n\u001B[1;32m 3789\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m-> 3790\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_engine\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_loc\u001B[49m\u001B[43m(\u001B[49m\u001B[43mcasted_key\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 3791\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mKeyError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n",
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"File \u001B[0;32mindex.pyx:152\u001B[0m, in \u001B[0;36mpandas._libs.index.IndexEngine.get_loc\u001B[0;34m()\u001B[0m\n",
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"File \u001B[0;32mindex.pyx:181\u001B[0m, in \u001B[0;36mpandas._libs.index.IndexEngine.get_loc\u001B[0;34m()\u001B[0m\n",
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"File \u001B[0;32mpandas/_libs/hashtable_class_helper.pxi:7080\u001B[0m, in \u001B[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001B[0;34m()\u001B[0m\n",
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"File \u001B[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001B[0m, in \u001B[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001B[0;34m()\u001B[0m\n",
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"\u001B[0;31mKeyError\u001B[0m: 'Weekday_Name'",
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"\nThe above exception was the direct cause of the following exception:\n",
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"\u001B[0;31mKeyError\u001B[0m Traceback (most recent call last)",
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"Cell \u001B[0;32mIn[5], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[43mtest_df\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mWeekday_Name\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/core/frame.py:3893\u001B[0m, in \u001B[0;36mDataFrame.__getitem__\u001B[0;34m(self, key)\u001B[0m\n\u001B[1;32m 3891\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mcolumns\u001B[38;5;241m.\u001B[39mnlevels \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m1\u001B[39m:\n\u001B[1;32m 3892\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_getitem_multilevel(key)\n\u001B[0;32m-> 3893\u001B[0m indexer \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcolumns\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_loc\u001B[49m\u001B[43m(\u001B[49m\u001B[43mkey\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 3894\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m is_integer(indexer):\n\u001B[1;32m 3895\u001B[0m indexer \u001B[38;5;241m=\u001B[39m [indexer]\n",
|
||||
"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/core/indexes/base.py:3797\u001B[0m, in \u001B[0;36mIndex.get_loc\u001B[0;34m(self, key)\u001B[0m\n\u001B[1;32m 3792\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(casted_key, \u001B[38;5;28mslice\u001B[39m) \u001B[38;5;129;01mor\u001B[39;00m (\n\u001B[1;32m 3793\u001B[0m \u001B[38;5;28misinstance\u001B[39m(casted_key, abc\u001B[38;5;241m.\u001B[39mIterable)\n\u001B[1;32m 3794\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28many\u001B[39m(\u001B[38;5;28misinstance\u001B[39m(x, \u001B[38;5;28mslice\u001B[39m) \u001B[38;5;28;01mfor\u001B[39;00m x \u001B[38;5;129;01min\u001B[39;00m casted_key)\n\u001B[1;32m 3795\u001B[0m ):\n\u001B[1;32m 3796\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m InvalidIndexError(key)\n\u001B[0;32m-> 3797\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mKeyError\u001B[39;00m(key) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01merr\u001B[39;00m\n\u001B[1;32m 3798\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mTypeError\u001B[39;00m:\n\u001B[1;32m 3799\u001B[0m \u001B[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001B[39;00m\n\u001B[1;32m 3800\u001B[0m \u001B[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001B[39;00m\n\u001B[1;32m 3801\u001B[0m \u001B[38;5;66;03m# the TypeError.\u001B[39;00m\n\u001B[1;32m 3802\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_check_indexing_error(key)\n",
|
||||
"\u001B[0;31mKeyError\u001B[0m: 'Weekday_Name'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"test_df['Weekday_Name']"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T23:48:10.103198Z",
|
||||
"start_time": "2023-12-02T23:48:09.756006Z"
|
||||
}
|
||||
},
|
||||
"id": "d0df3c0ef49e8061"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 6,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
@ -129,8 +163,8 @@
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T20:50:19.543547Z",
|
||||
"start_time": "2023-12-02T20:50:05.258441Z"
|
||||
"end_time": "2023-12-02T23:49:50.185415Z",
|
||||
"start_time": "2023-12-02T23:49:34.846049Z"
|
||||
}
|
||||
},
|
||||
"id": "f86bc612060b17a4"
|
||||
@ -146,63 +180,17 @@
|
||||
"date_obj = dt.strptime(acc_df[''])\n"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"start_time": "2023-12-02T23:48:10.101387Z"
|
||||
}
|
||||
},
|
||||
"id": "6affbeea6c7cf3ef"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Accident Columns:\n",
|
||||
"AccidentUID object\n",
|
||||
"AccidentHour object\n",
|
||||
"AccidentYear object\n",
|
||||
"AccidentWeekDay_en object\n",
|
||||
"AccidentType object\n",
|
||||
"AccidentSeverityCategory object\n",
|
||||
"AccidentInvolvingPedestrian object\n",
|
||||
"AccidentInvolvingBicycle object\n",
|
||||
"AccidentInvolvingMotorcycle object\n",
|
||||
"RoadType object\n",
|
||||
"RoadType_en object\n",
|
||||
"AccidentLocation_CHLV95_E object\n",
|
||||
"AccidentLocation_CHLV95_N object\n",
|
||||
"geometry geometry\n",
|
||||
"dtype: object\n",
|
||||
"\n",
|
||||
"MIV Columns:\n",
|
||||
"MSID object\n",
|
||||
"ZSID object\n",
|
||||
"Achse object\n",
|
||||
"EKoord float64\n",
|
||||
"NKoord float64\n",
|
||||
"Richtung object\n",
|
||||
"AnzFahrzeuge float64\n",
|
||||
"AnzFahrzeugeStatus object\n",
|
||||
"Date object\n",
|
||||
"Hrs object\n",
|
||||
"Weekday_en object\n",
|
||||
"dtype: object\n",
|
||||
"\n",
|
||||
"FB Cols:\n",
|
||||
"OST int64\n",
|
||||
"NORD int64\n",
|
||||
"DATE object\n",
|
||||
"HRS object\n",
|
||||
"VELO_IN float64\n",
|
||||
"VELO_OUT float64\n",
|
||||
"FUSS_IN float64\n",
|
||||
"FUSS_OUT float64\n",
|
||||
"Weekday_en object\n",
|
||||
"dtype: object\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": null,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(\"Accident Columns:\")\n",
|
||||
"print(acc_df.dtypes)\n",
|
||||
@ -216,8 +204,7 @@
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T20:50:32.272482Z",
|
||||
"start_time": "2023-12-02T20:50:32.270846Z"
|
||||
"start_time": "2023-12-02T23:48:10.102789Z"
|
||||
}
|
||||
},
|
||||
"id": "242041cd369d8454"
|
||||
@ -228,24 +215,17 @@
|
||||
"outputs": [],
|
||||
"source": [],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"start_time": "2023-12-02T23:48:10.103954Z"
|
||||
}
|
||||
},
|
||||
"id": "1841925ee109a417"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"MIV unqiue: (187,)\n",
|
||||
"Acc unique: (8661,)\n",
|
||||
"FB unique: (62,)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": null,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(\"MIV unqiue:\", miv_df['EKoord'].unique().shape)\n",
|
||||
"print(\"Acc unique:\", acc_df['AccidentLocation_CHLV95_E'].unique().shape)\n",
|
||||
@ -254,22 +234,21 @@
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T21:59:53.075227Z",
|
||||
"start_time": "2023-12-02T21:59:52.868698Z"
|
||||
"start_time": "2023-12-02T23:48:10.104894Z"
|
||||
}
|
||||
},
|
||||
"id": "f6d752ea17eda341"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 9,
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": " AccidentUID AccidentHour AccidentYear \\\n0 A2D2677533867004E0430A865E337004 00 2011 \n1 9FD6441F802C20A6E0430A865E3320A6 01 2011 \n2 9FDA0DC4856A6094E0430A865E336094 02 2011 \n3 A3B66E42396E6000E0430A865E336000 02 2011 \n4 9FDA0DBE8CCE9096E0430A865E339096 03 2011 \n\n AccidentWeekDay_en AccidentType AccidentSeverityCategory \\\n0 Saturday at0 as4 \n1 Saturday at0 as3 \n2 Saturday at0 as4 \n3 Saturday at5 as3 \n4 Saturday at0 as4 \n\n AccidentInvolvingPedestrian AccidentInvolvingBicycle \\\n0 false false \n1 false true \n2 false false \n3 false false \n4 false false \n\n AccidentInvolvingMotorcycle RoadType RoadType_en AccidentLocation_CHLV95_E \\\n0 false rt433 Minor road 2684605 \n1 false rt433 Minor road 2682382 \n2 false rt439 Other 2682791 \n3 false rt433 Minor road 2681199 \n4 false rt433 Minor road 2682479 \n\n AccidentLocation_CHLV95_N geometry \n0 1245194 POINT Z (8.55841 47.35217 0.00000) \n1 1246980 POINT Z (8.52932 47.36851 0.00000) \n2 1247749 POINT Z (8.53488 47.37538 0.00000) \n3 1247102 POINT Z (8.51368 47.36976 0.00000) \n4 1250690 POINT Z (8.53129 47.40186 0.00000) ",
|
||||
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AccidentUID</th>\n <th>AccidentHour</th>\n <th>AccidentYear</th>\n <th>AccidentWeekDay_en</th>\n <th>AccidentType</th>\n <th>AccidentSeverityCategory</th>\n <th>AccidentInvolvingPedestrian</th>\n <th>AccidentInvolvingBicycle</th>\n <th>AccidentInvolvingMotorcycle</th>\n <th>RoadType</th>\n <th>RoadType_en</th>\n <th>AccidentLocation_CHLV95_E</th>\n <th>AccidentLocation_CHLV95_N</th>\n <th>geometry</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>A2D2677533867004E0430A865E337004</td>\n <td>00</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as4</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2684605</td>\n <td>1245194</td>\n <td>POINT Z (8.55841 47.35217 0.00000)</td>\n </tr>\n <tr>\n <th>1</th>\n <td>9FD6441F802C20A6E0430A865E3320A6</td>\n <td>01</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as3</td>\n <td>false</td>\n <td>true</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2682382</td>\n <td>1246980</td>\n <td>POINT Z (8.52932 47.36851 0.00000)</td>\n </tr>\n <tr>\n <th>2</th>\n <td>9FDA0DC4856A6094E0430A865E336094</td>\n <td>02</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as4</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt439</td>\n <td>Other</td>\n <td>2682791</td>\n <td>1247749</td>\n <td>POINT Z (8.53488 47.37538 0.00000)</td>\n </tr>\n <tr>\n <th>3</th>\n <td>A3B66E42396E6000E0430A865E336000</td>\n <td>02</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at5</td>\n <td>as3</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2681199</td>\n <td>1247102</td>\n <td>POINT Z (8.51368 47.36976 0.00000)</td>\n </tr>\n <tr>\n <th>4</th>\n <td>9FDA0DBE8CCE9096E0430A865E339096</td>\n <td>03</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as4</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2682479</td>\n <td>1250690</td>\n <td>POINT Z (8.53129 47.40186 0.00000)</td>\n </tr>\n </tbody>\n</table>\n</div>"
|
||||
"text/plain": " AccidentUID AccidentHour AccidentYear \\\n0 A2D2677533867004E0430A865E337004 00 2011 \n1 9FD6441F802C20A6E0430A865E3320A6 01 2011 \n2 9FDA0DC4856A6094E0430A865E336094 02 2011 \n3 A3B66E42396E6000E0430A865E336000 02 2011 \n4 9FDA0DBE8CCE9096E0430A865E339096 03 2011 \n\n AccidentWeekDay_en AccidentType AccidentSeverityCategory \\\n0 Saturday at0 as4 \n1 Saturday at0 as3 \n2 Saturday at0 as4 \n3 Saturday at5 as3 \n4 Saturday at0 as4 \n\n AccidentInvolvingPedestrian AccidentInvolvingBicycle \\\n0 false false \n1 false true \n2 false false \n3 false false \n4 false false \n\n AccidentInvolvingMotorcycle RoadType RoadType_en AccidentLocation_CHLV95_E \\\n0 false rt433 Minor road 2684605 \n1 false rt433 Minor road 2682382 \n2 false rt439 Other 2682791 \n3 false rt433 Minor road 2681199 \n4 false rt433 Minor road 2682479 \n\n AccidentLocation_CHLV95_N geometry \n0 1245194 POINT(8.55841025 47.3521677) \n1 1246980 POINT(8.52932024 47.36851152) \n2 1247749 POINT(8.5348767 47.37537618) \n3 1247102 POINT(8.51368203 47.36975554) \n4 1250690 POINT(8.53128819 47.40186473) ",
|
||||
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AccidentUID</th>\n <th>AccidentHour</th>\n <th>AccidentYear</th>\n <th>AccidentWeekDay_en</th>\n <th>AccidentType</th>\n <th>AccidentSeverityCategory</th>\n <th>AccidentInvolvingPedestrian</th>\n <th>AccidentInvolvingBicycle</th>\n <th>AccidentInvolvingMotorcycle</th>\n <th>RoadType</th>\n <th>RoadType_en</th>\n <th>AccidentLocation_CHLV95_E</th>\n <th>AccidentLocation_CHLV95_N</th>\n <th>geometry</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>A2D2677533867004E0430A865E337004</td>\n <td>00</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as4</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2684605</td>\n <td>1245194</td>\n <td>POINT(8.55841025 47.3521677)</td>\n </tr>\n <tr>\n <th>1</th>\n <td>9FD6441F802C20A6E0430A865E3320A6</td>\n <td>01</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as3</td>\n <td>false</td>\n <td>true</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2682382</td>\n <td>1246980</td>\n <td>POINT(8.52932024 47.36851152)</td>\n </tr>\n <tr>\n <th>2</th>\n <td>9FDA0DC4856A6094E0430A865E336094</td>\n <td>02</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as4</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt439</td>\n <td>Other</td>\n <td>2682791</td>\n <td>1247749</td>\n <td>POINT(8.5348767 47.37537618)</td>\n </tr>\n <tr>\n <th>3</th>\n <td>A3B66E42396E6000E0430A865E336000</td>\n <td>02</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at5</td>\n <td>as3</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2681199</td>\n <td>1247102</td>\n <td>POINT(8.51368203 47.36975554)</td>\n </tr>\n <tr>\n <th>4</th>\n <td>9FDA0DBE8CCE9096E0430A865E339096</td>\n <td>03</td>\n <td>2011</td>\n <td>Saturday</td>\n <td>at0</td>\n <td>as4</td>\n <td>false</td>\n <td>false</td>\n <td>false</td>\n <td>rt433</td>\n <td>Minor road</td>\n <td>2682479</td>\n <td>1250690</td>\n <td>POINT(8.53128819 47.40186473)</td>\n </tr>\n </tbody>\n</table>\n</div>"
|
||||
},
|
||||
"execution_count": 7,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -280,71 +259,65 @@
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T20:52:32.645509Z",
|
||||
"start_time": "2023-12-02T20:52:32.643877Z"
|
||||
"end_time": "2023-12-02T23:53:22.460557Z",
|
||||
"start_time": "2023-12-02T23:53:22.453434Z"
|
||||
}
|
||||
},
|
||||
"id": "a159cafa9c227b88"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"execution_count": 21,
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "ProgrammingError",
|
||||
"evalue": "(psycopg2.ProgrammingError) can't adapt type 'Point'\n[SQL: INSERT INTO table_name (\"AccidentUID\", \"AccidentHour\", \"AccidentYear\", \"AccidentWeekDay_en\", \"AccidentType\", \"AccidentSeverityCategory\", \"AccidentInvolvingPedestrian\", \"AccidentInvolvingBicycle\", \"AccidentInvolvingMotorcycle\", \"RoadType\", \"RoadType_e ... 398437 characters truncated ... n__999)s, %(AccidentLocation_CHLV95_E__999)s, %(AccidentLocation_CHLV95_N__999)s, %(geometry__999)s)]\n[parameters: {'AccidentYear__0': '2011', 'AccidentLocation_CHLV95_N__0': '1245194', 'AccidentType__0': 'at0', 'AccidentSeverityCategory__0': 'as4', 'RoadType_en__0': 'Minor road', 'AccidentLocation_CHLV95_E__0': '2684605', 'AccidentWeekDay_en__0': 'Saturday', 'AccidentInvolvingMotorcycle__0': 'false', 'RoadType__0': 'rt433', 'AccidentUID__0': 'A2D2677533867004E0430A865E337004', 'AccidentInvolvingPedestrian__0': 'false', 'AccidentHour__0': '00', 'geometry__0': <POINT Z (8.558 47.352 0)>, 'AccidentInvolvingBicycle__0': 'false', 'AccidentYear__1': '2011', 'AccidentLocation_CHLV95_N__1': '1246980', 'AccidentType__1': 'at0', 'AccidentSeverityCategory__1': 'as3', 'RoadType_en__1': 'Minor road', 'AccidentLocation_CHLV95_E__1': '2682382', 'AccidentWeekDay_en__1': 'Saturday', 'AccidentInvolvingMotorcycle__1': 'false', 'RoadType__1': 'rt433', 'AccidentUID__1': '9FD6441F802C20A6E0430A865E3320A6', 'AccidentInvolvingPedestrian__1': 'false', 'AccidentHour__1': '01', 'geometry__1': <POINT Z (8.529 47.369 0)>, 'AccidentInvolvingBicycle__1': 'true', 'AccidentYear__2': '2011', 'AccidentLocation_CHLV95_N__2': '1247749', 'AccidentType__2': 'at0', 'AccidentSeverityCategory__2': 'as4', 'RoadType_en__2': 'Other', 'AccidentLocation_CHLV95_E__2': '2682791', 'AccidentWeekDay_en__2': 'Saturday', 'AccidentInvolvingMotorcycle__2': 'false', 'RoadType__2': 'rt439', 'AccidentUID__2': '9FDA0DC4856A6094E0430A865E336094', 'AccidentInvolvingPedestrian__2': 'false', 'AccidentHour__2': '02', 'geometry__2': <POINT Z (8.535 47.375 0)>, 'AccidentInvolvingBicycle__2': 'false', 'AccidentYear__3': '2011', 'AccidentLocation_CHLV95_N__3': '1247102', 'AccidentType__3': 'at5', 'AccidentSeverityCategory__3': 'as3', 'RoadType_en__3': 'Minor road', 'AccidentLocation_CHLV95_E__3': '2681199', 'AccidentWeekDay_en__3': 'Saturday', 'AccidentInvolvingMotorcycle__3': 'false' ... 13900 parameters truncated ... 'AccidentWeekDay_en__996': 'Tuesday', 'AccidentInvolvingMotorcycle__996': 'false', 'RoadType__996': 'rt433', 'AccidentUID__996': 'A5D2C4A55E38707EE0430A865E33707E', 'AccidentInvolvingPedestrian__996': 'false', 'AccidentHour__996': '08', 'geometry__996': <POINT Z (8.539 47.377 0)>, 'AccidentInvolvingBicycle__996': 'false', 'AccidentYear__997': '2011', 'AccidentLocation_CHLV95_N__997': '1251718', 'AccidentType__997': 'at2', 'AccidentSeverityCategory__997': 'as3', 'RoadType_en__997': 'Principal road', 'AccidentLocation_CHLV95_E__997': '2685190', 'AccidentWeekDay_en__997': 'Tuesday', 'AccidentInvolvingMotorcycle__997': 'false', 'RoadType__997': 'rt432', 'AccidentUID__997': 'A5F1841A36B070AEE0430A865E3370AE', 'AccidentInvolvingPedestrian__997': 'false', 'AccidentHour__997': '11', 'geometry__997': <POINT Z (8.567 47.411 0)>, 'AccidentInvolvingBicycle__997': 'false', 'AccidentYear__998': '2011', 'AccidentLocation_CHLV95_N__998': '1246106', 'AccidentType__998': 'at2', 'AccidentSeverityCategory__998': 'as4', 'RoadType_en__998': 'Principal road', 'AccidentLocation_CHLV95_E__998': '2685329', 'AccidentWeekDay_en__998': 'Tuesday', 'AccidentInvolvingMotorcycle__998': 'false', 'RoadType__998': 'rt432', 'AccidentUID__998': 'A5E25678EDD7505EE0430A865E33505E', 'AccidentInvolvingPedestrian__998': 'false', 'AccidentHour__998': '14', 'geometry__998': <POINT Z (8.568 47.36 0)>, 'AccidentInvolvingBicycle__998': 'false', 'AccidentYear__999': '2011', 'AccidentLocation_CHLV95_N__999': '1251852', 'AccidentType__999': 'at00', 'AccidentSeverityCategory__999': 'as3', 'RoadType_en__999': 'Principal road', 'AccidentLocation_CHLV95_E__999': '2683606', 'AccidentWeekDay_en__999': 'Tuesday', 'AccidentInvolvingMotorcycle__999': 'false', 'RoadType__999': 'rt432', 'AccidentUID__999': 'A6431CCEC810E09CE0430A865E33E09C', 'AccidentInvolvingPedestrian__999': 'false', 'AccidentHour__999': '16', 'geometry__999': <POINT Z (8.546 47.412 0)>, 'AccidentInvolvingBicycle__999': 'false'}]\n(Background on this error at: https://sqlalche.me/e/20/f405)",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
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"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
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"\u001B[0;31mProgrammingError\u001B[0m Traceback (most recent call last)",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:2112\u001B[0m, in \u001B[0;36mConnection._exec_insertmany_context\u001B[0;34m(self, dialect, context)\u001B[0m\n\u001B[1;32m 2111\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m-> 2112\u001B[0m \u001B[43mdialect\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdo_execute\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 2113\u001B[0m \u001B[43m \u001B[49m\u001B[43mcursor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2114\u001B[0m \u001B[43m \u001B[49m\u001B[43msub_stmt\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2115\u001B[0m \u001B[43m \u001B[49m\u001B[43msub_params\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2116\u001B[0m \u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2117\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 2119\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mBaseException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/default.py:922\u001B[0m, in \u001B[0;36mDefaultDialect.do_execute\u001B[0;34m(self, cursor, statement, parameters, context)\u001B[0m\n\u001B[1;32m 921\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mdo_execute\u001B[39m(\u001B[38;5;28mself\u001B[39m, cursor, statement, parameters, context\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m):\n\u001B[0;32m--> 922\u001B[0m \u001B[43mcursor\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mexecute\u001B[49m\u001B[43m(\u001B[49m\u001B[43mstatement\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparameters\u001B[49m\u001B[43m)\u001B[49m\n",
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||||
"\u001B[0;31mProgrammingError\u001B[0m: can't adapt type 'Point'",
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||||
"\nThe above exception was the direct cause of the following exception:\n",
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"\u001B[0;31mProgrammingError\u001B[0m Traceback (most recent call last)",
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"Cell \u001B[0;32mIn[17], line 8\u001B[0m\n\u001B[1;32m 4\u001B[0m engine \u001B[38;5;241m=\u001B[39m create_engine(db_url)\n\u001B[1;32m 6\u001B[0m \u001B[38;5;66;03m#miv_df.to_sql('table_name', engine, if_exists='replace', index=False)\u001B[39;00m\n\u001B[1;32m 7\u001B[0m \u001B[38;5;66;03m#fb_data.to_sql('footbike', engine, if_exists='replace', index=False)\u001B[39;00m\n\u001B[0;32m----> 8\u001B[0m \u001B[43macc_df\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mto_sql\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mtable_name\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mengine\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mif_exists\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mreplace\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mindex\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m)\u001B[49m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/util/_decorators.py:333\u001B[0m, in \u001B[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m 327\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(args) \u001B[38;5;241m>\u001B[39m num_allow_args:\n\u001B[1;32m 328\u001B[0m warnings\u001B[38;5;241m.\u001B[39mwarn(\n\u001B[1;32m 329\u001B[0m msg\u001B[38;5;241m.\u001B[39mformat(arguments\u001B[38;5;241m=\u001B[39m_format_argument_list(allow_args)),\n\u001B[1;32m 330\u001B[0m \u001B[38;5;167;01mFutureWarning\u001B[39;00m,\n\u001B[1;32m 331\u001B[0m stacklevel\u001B[38;5;241m=\u001B[39mfind_stack_level(),\n\u001B[1;32m 332\u001B[0m )\n\u001B[0;32m--> 333\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/core/generic.py:3008\u001B[0m, in \u001B[0;36mNDFrame.to_sql\u001B[0;34m(self, name, con, schema, if_exists, index, index_label, chunksize, dtype, method)\u001B[0m\n\u001B[1;32m 2813\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m 2814\u001B[0m \u001B[38;5;124;03mWrite records stored in a DataFrame to a SQL database.\u001B[39;00m\n\u001B[1;32m 2815\u001B[0m \n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 3004\u001B[0m \u001B[38;5;124;03m[(1,), (None,), (2,)]\u001B[39;00m\n\u001B[1;32m 3005\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m \u001B[38;5;66;03m# noqa: E501\u001B[39;00m\n\u001B[1;32m 3006\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mpandas\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mio\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m sql\n\u001B[0;32m-> 3008\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43msql\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mto_sql\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 3009\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3010\u001B[0m \u001B[43m \u001B[49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3011\u001B[0m \u001B[43m \u001B[49m\u001B[43mcon\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3012\u001B[0m \u001B[43m \u001B[49m\u001B[43mschema\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mschema\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3013\u001B[0m \u001B[43m \u001B[49m\u001B[43mif_exists\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mif_exists\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3014\u001B[0m \u001B[43m \u001B[49m\u001B[43mindex\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mindex\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3015\u001B[0m \u001B[43m \u001B[49m\u001B[43mindex_label\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mindex_label\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3016\u001B[0m \u001B[43m \u001B[49m\u001B[43mchunksize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mchunksize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3017\u001B[0m \u001B[43m \u001B[49m\u001B[43mdtype\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdtype\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3018\u001B[0m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3019\u001B[0m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/io/sql.py:788\u001B[0m, in \u001B[0;36mto_sql\u001B[0;34m(frame, name, con, schema, if_exists, index, index_label, chunksize, dtype, method, engine, **engine_kwargs)\u001B[0m\n\u001B[1;32m 783\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mNotImplementedError\u001B[39;00m(\n\u001B[1;32m 784\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mframe\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m argument should be either a Series or a DataFrame\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 785\u001B[0m )\n\u001B[1;32m 787\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m pandasSQL_builder(con, schema\u001B[38;5;241m=\u001B[39mschema, need_transaction\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m pandas_sql:\n\u001B[0;32m--> 788\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mpandas_sql\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mto_sql\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 789\u001B[0m \u001B[43m \u001B[49m\u001B[43mframe\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 790\u001B[0m \u001B[43m \u001B[49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 791\u001B[0m \u001B[43m \u001B[49m\u001B[43mif_exists\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mif_exists\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 792\u001B[0m \u001B[43m \u001B[49m\u001B[43mindex\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mindex\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 793\u001B[0m \u001B[43m \u001B[49m\u001B[43mindex_label\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mindex_label\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 794\u001B[0m \u001B[43m \u001B[49m\u001B[43mschema\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mschema\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 795\u001B[0m \u001B[43m \u001B[49m\u001B[43mchunksize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mchunksize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 796\u001B[0m \u001B[43m \u001B[49m\u001B[43mdtype\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdtype\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 797\u001B[0m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 798\u001B[0m \u001B[43m \u001B[49m\u001B[43mengine\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mengine\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 799\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 800\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/io/sql.py:1958\u001B[0m, in \u001B[0;36mSQLDatabase.to_sql\u001B[0;34m(self, frame, name, if_exists, index, index_label, schema, chunksize, dtype, method, engine, **engine_kwargs)\u001B[0m\n\u001B[1;32m 1946\u001B[0m sql_engine \u001B[38;5;241m=\u001B[39m get_engine(engine)\n\u001B[1;32m 1948\u001B[0m table \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mprep_table(\n\u001B[1;32m 1949\u001B[0m frame\u001B[38;5;241m=\u001B[39mframe,\n\u001B[1;32m 1950\u001B[0m name\u001B[38;5;241m=\u001B[39mname,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 1955\u001B[0m dtype\u001B[38;5;241m=\u001B[39mdtype,\n\u001B[1;32m 1956\u001B[0m )\n\u001B[0;32m-> 1958\u001B[0m total_inserted \u001B[38;5;241m=\u001B[39m \u001B[43msql_engine\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43minsert_records\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 1959\u001B[0m \u001B[43m \u001B[49m\u001B[43mtable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mtable\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1960\u001B[0m \u001B[43m \u001B[49m\u001B[43mcon\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcon\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1961\u001B[0m \u001B[43m \u001B[49m\u001B[43mframe\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mframe\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1962\u001B[0m \u001B[43m \u001B[49m\u001B[43mname\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1963\u001B[0m \u001B[43m \u001B[49m\u001B[43mindex\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mindex\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1964\u001B[0m \u001B[43m \u001B[49m\u001B[43mschema\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mschema\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1965\u001B[0m \u001B[43m \u001B[49m\u001B[43mchunksize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mchunksize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1966\u001B[0m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1967\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1968\u001B[0m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1970\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mcheck_case_sensitive(name\u001B[38;5;241m=\u001B[39mname, schema\u001B[38;5;241m=\u001B[39mschema)\n\u001B[1;32m 1971\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m total_inserted\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/io/sql.py:1507\u001B[0m, in \u001B[0;36mSQLAlchemyEngine.insert_records\u001B[0;34m(self, table, con, frame, name, index, schema, chunksize, method, **engine_kwargs)\u001B[0m\n\u001B[1;32m 1505\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m re\u001B[38;5;241m.\u001B[39msearch(msg, err_text):\n\u001B[1;32m 1506\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124minf cannot be used with MySQL\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01merr\u001B[39;00m\n\u001B[0;32m-> 1507\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m err\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/io/sql.py:1498\u001B[0m, in \u001B[0;36mSQLAlchemyEngine.insert_records\u001B[0;34m(self, table, con, frame, name, index, schema, chunksize, method, **engine_kwargs)\u001B[0m\n\u001B[1;32m 1495\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01msqlalchemy\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m exc\n\u001B[1;32m 1497\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m-> 1498\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mtable\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43minsert\u001B[49m\u001B[43m(\u001B[49m\u001B[43mchunksize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mchunksize\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mmethod\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1499\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m exc\u001B[38;5;241m.\u001B[39mStatementError \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[1;32m 1500\u001B[0m \u001B[38;5;66;03m# GH34431\u001B[39;00m\n\u001B[1;32m 1501\u001B[0m \u001B[38;5;66;03m# https://stackoverflow.com/a/67358288/6067848\u001B[39;00m\n\u001B[1;32m 1502\u001B[0m msg \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mr\u001B[39m\u001B[38;5;124m\"\"\"\u001B[39m\u001B[38;5;124m(\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m(1054, \u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mUnknown column \u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124minf(e0)?\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m in \u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mfield list\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m))(?#\u001B[39m\n\u001B[1;32m 1503\u001B[0m \u001B[38;5;124m )|inf can not be used with MySQL\u001B[39m\u001B[38;5;124m\"\"\"\u001B[39m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/io/sql.py:1059\u001B[0m, in \u001B[0;36mSQLTable.insert\u001B[0;34m(self, chunksize, method)\u001B[0m\n\u001B[1;32m 1056\u001B[0m \u001B[38;5;28;01mbreak\u001B[39;00m\n\u001B[1;32m 1058\u001B[0m chunk_iter \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mzip\u001B[39m(\u001B[38;5;241m*\u001B[39m(arr[start_i:end_i] \u001B[38;5;28;01mfor\u001B[39;00m arr \u001B[38;5;129;01min\u001B[39;00m data_list))\n\u001B[0;32m-> 1059\u001B[0m num_inserted \u001B[38;5;241m=\u001B[39m \u001B[43mexec_insert\u001B[49m\u001B[43m(\u001B[49m\u001B[43mconn\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mkeys\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mchunk_iter\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1060\u001B[0m \u001B[38;5;66;03m# GH 46891\u001B[39;00m\n\u001B[1;32m 1061\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m num_inserted \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/pandas/io/sql.py:951\u001B[0m, in \u001B[0;36mSQLTable._execute_insert\u001B[0;34m(self, conn, keys, data_iter)\u001B[0m\n\u001B[1;32m 939\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m 940\u001B[0m \u001B[38;5;124;03mExecute SQL statement inserting data\u001B[39;00m\n\u001B[1;32m 941\u001B[0m \n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 948\u001B[0m \u001B[38;5;124;03m Each item contains a list of values to be inserted\u001B[39;00m\n\u001B[1;32m 949\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m 950\u001B[0m data \u001B[38;5;241m=\u001B[39m [\u001B[38;5;28mdict\u001B[39m(\u001B[38;5;28mzip\u001B[39m(keys, row)) \u001B[38;5;28;01mfor\u001B[39;00m row \u001B[38;5;129;01min\u001B[39;00m data_iter]\n\u001B[0;32m--> 951\u001B[0m result \u001B[38;5;241m=\u001B[39m \u001B[43mconn\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mexecute\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mtable\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43minsert\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 952\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m result\u001B[38;5;241m.\u001B[39mrowcount\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1416\u001B[0m, in \u001B[0;36mConnection.execute\u001B[0;34m(self, statement, parameters, execution_options)\u001B[0m\n\u001B[1;32m 1414\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m exc\u001B[38;5;241m.\u001B[39mObjectNotExecutableError(statement) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01merr\u001B[39;00m\n\u001B[1;32m 1415\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m-> 1416\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mmeth\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 1417\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1418\u001B[0m \u001B[43m \u001B[49m\u001B[43mdistilled_parameters\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1419\u001B[0m \u001B[43m \u001B[49m\u001B[43mexecution_options\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01mor\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mNO_OPTIONS\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1420\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/sql/elements.py:516\u001B[0m, in \u001B[0;36mClauseElement._execute_on_connection\u001B[0;34m(self, connection, distilled_params, execution_options)\u001B[0m\n\u001B[1;32m 514\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m TYPE_CHECKING:\n\u001B[1;32m 515\u001B[0m \u001B[38;5;28;01massert\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(\u001B[38;5;28mself\u001B[39m, Executable)\n\u001B[0;32m--> 516\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mconnection\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_execute_clauseelement\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 517\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdistilled_params\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mexecution_options\u001B[49m\n\u001B[1;32m 518\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 519\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 520\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m exc\u001B[38;5;241m.\u001B[39mObjectNotExecutableError(\u001B[38;5;28mself\u001B[39m)\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1639\u001B[0m, in \u001B[0;36mConnection._execute_clauseelement\u001B[0;34m(self, elem, distilled_parameters, execution_options)\u001B[0m\n\u001B[1;32m 1627\u001B[0m compiled_cache: Optional[CompiledCacheType] \u001B[38;5;241m=\u001B[39m execution_options\u001B[38;5;241m.\u001B[39mget(\n\u001B[1;32m 1628\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcompiled_cache\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mengine\u001B[38;5;241m.\u001B[39m_compiled_cache\n\u001B[1;32m 1629\u001B[0m )\n\u001B[1;32m 1631\u001B[0m compiled_sql, extracted_params, cache_hit \u001B[38;5;241m=\u001B[39m elem\u001B[38;5;241m.\u001B[39m_compile_w_cache(\n\u001B[1;32m 1632\u001B[0m dialect\u001B[38;5;241m=\u001B[39mdialect,\n\u001B[1;32m 1633\u001B[0m compiled_cache\u001B[38;5;241m=\u001B[39mcompiled_cache,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 1637\u001B[0m linting\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdialect\u001B[38;5;241m.\u001B[39mcompiler_linting \u001B[38;5;241m|\u001B[39m compiler\u001B[38;5;241m.\u001B[39mWARN_LINTING,\n\u001B[1;32m 1638\u001B[0m )\n\u001B[0;32m-> 1639\u001B[0m ret \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_execute_context\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 1640\u001B[0m \u001B[43m \u001B[49m\u001B[43mdialect\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1641\u001B[0m \u001B[43m \u001B[49m\u001B[43mdialect\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mexecution_ctx_cls\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_init_compiled\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1642\u001B[0m \u001B[43m \u001B[49m\u001B[43mcompiled_sql\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1643\u001B[0m \u001B[43m \u001B[49m\u001B[43mdistilled_parameters\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1644\u001B[0m \u001B[43m \u001B[49m\u001B[43mexecution_options\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1645\u001B[0m \u001B[43m \u001B[49m\u001B[43mcompiled_sql\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1646\u001B[0m \u001B[43m \u001B[49m\u001B[43mdistilled_parameters\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1647\u001B[0m \u001B[43m \u001B[49m\u001B[43melem\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1648\u001B[0m \u001B[43m \u001B[49m\u001B[43mextracted_params\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1649\u001B[0m \u001B[43m \u001B[49m\u001B[43mcache_hit\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcache_hit\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1650\u001B[0m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1651\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m has_events:\n\u001B[1;32m 1652\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdispatch\u001B[38;5;241m.\u001B[39mafter_execute(\n\u001B[1;32m 1653\u001B[0m \u001B[38;5;28mself\u001B[39m,\n\u001B[1;32m 1654\u001B[0m elem,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 1658\u001B[0m ret,\n\u001B[1;32m 1659\u001B[0m )\n",
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"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1843\u001B[0m, in \u001B[0;36mConnection._execute_context\u001B[0;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001B[0m\n\u001B[1;32m 1840\u001B[0m context\u001B[38;5;241m.\u001B[39mpre_exec()\n\u001B[1;32m 1842\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m context\u001B[38;5;241m.\u001B[39mexecute_style \u001B[38;5;129;01mis\u001B[39;00m ExecuteStyle\u001B[38;5;241m.\u001B[39mINSERTMANYVALUES:\n\u001B[0;32m-> 1843\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_exec_insertmany_context\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 1844\u001B[0m \u001B[43m \u001B[49m\u001B[43mdialect\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1845\u001B[0m \u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1846\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1847\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 1848\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_exec_single_context(\n\u001B[1;32m 1849\u001B[0m dialect, context, statement, parameters\n\u001B[1;32m 1850\u001B[0m )\n",
|
||||
"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:2120\u001B[0m, in \u001B[0;36mConnection._exec_insertmany_context\u001B[0;34m(self, dialect, context)\u001B[0m\n\u001B[1;32m 2112\u001B[0m dialect\u001B[38;5;241m.\u001B[39mdo_execute(\n\u001B[1;32m 2113\u001B[0m cursor,\n\u001B[1;32m 2114\u001B[0m sub_stmt,\n\u001B[1;32m 2115\u001B[0m sub_params,\n\u001B[1;32m 2116\u001B[0m context,\n\u001B[1;32m 2117\u001B[0m )\n\u001B[1;32m 2119\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mBaseException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[0;32m-> 2120\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_handle_dbapi_exception\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 2121\u001B[0m \u001B[43m \u001B[49m\u001B[43me\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2122\u001B[0m \u001B[43m \u001B[49m\u001B[43msql_util\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_long_statement\u001B[49m\u001B[43m(\u001B[49m\u001B[43msub_stmt\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2123\u001B[0m \u001B[43m \u001B[49m\u001B[43msub_params\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2124\u001B[0m \u001B[43m \u001B[49m\u001B[43mcursor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2125\u001B[0m \u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2126\u001B[0m \u001B[43m \u001B[49m\u001B[43mis_sub_exec\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43;01mTrue\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[1;32m 2127\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 2129\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m engine_events:\n\u001B[1;32m 2130\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdispatch\u001B[38;5;241m.\u001B[39mafter_cursor_execute(\n\u001B[1;32m 2131\u001B[0m \u001B[38;5;28mself\u001B[39m,\n\u001B[1;32m 2132\u001B[0m cursor,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 2136\u001B[0m context\u001B[38;5;241m.\u001B[39mexecutemany,\n\u001B[1;32m 2137\u001B[0m )\n",
|
||||
"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:2343\u001B[0m, in \u001B[0;36mConnection._handle_dbapi_exception\u001B[0;34m(self, e, statement, parameters, cursor, context, is_sub_exec)\u001B[0m\n\u001B[1;32m 2341\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m should_wrap:\n\u001B[1;32m 2342\u001B[0m \u001B[38;5;28;01massert\u001B[39;00m sqlalchemy_exception \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m-> 2343\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m sqlalchemy_exception\u001B[38;5;241m.\u001B[39mwith_traceback(exc_info[\u001B[38;5;241m2\u001B[39m]) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01me\u001B[39;00m\n\u001B[1;32m 2344\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 2345\u001B[0m \u001B[38;5;28;01massert\u001B[39;00m exc_info[\u001B[38;5;241m1\u001B[39m] \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n",
|
||||
"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py:2112\u001B[0m, in \u001B[0;36mConnection._exec_insertmany_context\u001B[0;34m(self, dialect, context)\u001B[0m\n\u001B[1;32m 2110\u001B[0m \u001B[38;5;28;01mbreak\u001B[39;00m\n\u001B[1;32m 2111\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m-> 2112\u001B[0m \u001B[43mdialect\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdo_execute\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 2113\u001B[0m \u001B[43m \u001B[49m\u001B[43mcursor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2114\u001B[0m \u001B[43m \u001B[49m\u001B[43msub_stmt\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2115\u001B[0m \u001B[43m \u001B[49m\u001B[43msub_params\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2116\u001B[0m \u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 2117\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 2119\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mBaseException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[1;32m 2120\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_handle_dbapi_exception(\n\u001B[1;32m 2121\u001B[0m e,\n\u001B[1;32m 2122\u001B[0m sql_util\u001B[38;5;241m.\u001B[39m_long_statement(sub_stmt),\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 2126\u001B[0m is_sub_exec\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m,\n\u001B[1;32m 2127\u001B[0m )\n",
|
||||
"File \u001B[0;32m~/Projects/repos/group-1/db23-project-venv/lib/python3.11/site-packages/sqlalchemy/engine/default.py:922\u001B[0m, in \u001B[0;36mDefaultDialect.do_execute\u001B[0;34m(self, cursor, statement, parameters, context)\u001B[0m\n\u001B[1;32m 921\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mdo_execute\u001B[39m(\u001B[38;5;28mself\u001B[39m, cursor, statement, parameters, context\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m):\n\u001B[0;32m--> 922\u001B[0m \u001B[43mcursor\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mexecute\u001B[49m\u001B[43m(\u001B[49m\u001B[43mstatement\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparameters\u001B[49m\u001B[43m)\u001B[49m\n",
|
||||
"\u001B[0;31mProgrammingError\u001B[0m: (psycopg2.ProgrammingError) can't adapt type 'Point'\n[SQL: INSERT INTO table_name (\"AccidentUID\", \"AccidentHour\", \"AccidentYear\", \"AccidentWeekDay_en\", \"AccidentType\", \"AccidentSeverityCategory\", \"AccidentInvolvingPedestrian\", \"AccidentInvolvingBicycle\", \"AccidentInvolvingMotorcycle\", \"RoadType\", \"RoadType_e ... 398437 characters truncated ... n__999)s, %(AccidentLocation_CHLV95_E__999)s, %(AccidentLocation_CHLV95_N__999)s, %(geometry__999)s)]\n[parameters: {'AccidentYear__0': '2011', 'AccidentLocation_CHLV95_N__0': '1245194', 'AccidentType__0': 'at0', 'AccidentSeverityCategory__0': 'as4', 'RoadType_en__0': 'Minor road', 'AccidentLocation_CHLV95_E__0': '2684605', 'AccidentWeekDay_en__0': 'Saturday', 'AccidentInvolvingMotorcycle__0': 'false', 'RoadType__0': 'rt433', 'AccidentUID__0': 'A2D2677533867004E0430A865E337004', 'AccidentInvolvingPedestrian__0': 'false', 'AccidentHour__0': '00', 'geometry__0': <POINT Z (8.558 47.352 0)>, 'AccidentInvolvingBicycle__0': 'false', 'AccidentYear__1': '2011', 'AccidentLocation_CHLV95_N__1': '1246980', 'AccidentType__1': 'at0', 'AccidentSeverityCategory__1': 'as3', 'RoadType_en__1': 'Minor road', 'AccidentLocation_CHLV95_E__1': '2682382', 'AccidentWeekDay_en__1': 'Saturday', 'AccidentInvolvingMotorcycle__1': 'false', 'RoadType__1': 'rt433', 'AccidentUID__1': '9FD6441F802C20A6E0430A865E3320A6', 'AccidentInvolvingPedestrian__1': 'false', 'AccidentHour__1': '01', 'geometry__1': <POINT Z (8.529 47.369 0)>, 'AccidentInvolvingBicycle__1': 'true', 'AccidentYear__2': '2011', 'AccidentLocation_CHLV95_N__2': '1247749', 'AccidentType__2': 'at0', 'AccidentSeverityCategory__2': 'as4', 'RoadType_en__2': 'Other', 'AccidentLocation_CHLV95_E__2': '2682791', 'AccidentWeekDay_en__2': 'Saturday', 'AccidentInvolvingMotorcycle__2': 'false', 'RoadType__2': 'rt439', 'AccidentUID__2': '9FDA0DC4856A6094E0430A865E336094', 'AccidentInvolvingPedestrian__2': 'false', 'AccidentHour__2': '02', 'geometry__2': <POINT Z (8.535 47.375 0)>, 'AccidentInvolvingBicycle__2': 'false', 'AccidentYear__3': '2011', 'AccidentLocation_CHLV95_N__3': '1247102', 'AccidentType__3': 'at5', 'AccidentSeverityCategory__3': 'as3', 'RoadType_en__3': 'Minor road', 'AccidentLocation_CHLV95_E__3': '2681199', 'AccidentWeekDay_en__3': 'Saturday', 'AccidentInvolvingMotorcycle__3': 'false' ... 13900 parameters truncated ... 'AccidentWeekDay_en__996': 'Tuesday', 'AccidentInvolvingMotorcycle__996': 'false', 'RoadType__996': 'rt433', 'AccidentUID__996': 'A5D2C4A55E38707EE0430A865E33707E', 'AccidentInvolvingPedestrian__996': 'false', 'AccidentHour__996': '08', 'geometry__996': <POINT Z (8.539 47.377 0)>, 'AccidentInvolvingBicycle__996': 'false', 'AccidentYear__997': '2011', 'AccidentLocation_CHLV95_N__997': '1251718', 'AccidentType__997': 'at2', 'AccidentSeverityCategory__997': 'as3', 'RoadType_en__997': 'Principal road', 'AccidentLocation_CHLV95_E__997': '2685190', 'AccidentWeekDay_en__997': 'Tuesday', 'AccidentInvolvingMotorcycle__997': 'false', 'RoadType__997': 'rt432', 'AccidentUID__997': 'A5F1841A36B070AEE0430A865E3370AE', 'AccidentInvolvingPedestrian__997': 'false', 'AccidentHour__997': '11', 'geometry__997': <POINT Z (8.567 47.411 0)>, 'AccidentInvolvingBicycle__997': 'false', 'AccidentYear__998': '2011', 'AccidentLocation_CHLV95_N__998': '1246106', 'AccidentType__998': 'at2', 'AccidentSeverityCategory__998': 'as4', 'RoadType_en__998': 'Principal road', 'AccidentLocation_CHLV95_E__998': '2685329', 'AccidentWeekDay_en__998': 'Tuesday', 'AccidentInvolvingMotorcycle__998': 'false', 'RoadType__998': 'rt432', 'AccidentUID__998': 'A5E25678EDD7505EE0430A865E33505E', 'AccidentInvolvingPedestrian__998': 'false', 'AccidentHour__998': '14', 'geometry__998': <POINT Z (8.568 47.36 0)>, 'AccidentInvolvingBicycle__998': 'false', 'AccidentYear__999': '2011', 'AccidentLocation_CHLV95_N__999': '1251852', 'AccidentType__999': 'at00', 'AccidentSeverityCategory__999': 'as3', 'RoadType_en__999': 'Principal road', 'AccidentLocation_CHLV95_E__999': '2683606', 'AccidentWeekDay_en__999': 'Tuesday', 'AccidentInvolvingMotorcycle__999': 'false', 'RoadType__999': 'rt432', 'AccidentUID__999': 'A6431CCEC810E09CE0430A865E33E09C', 'AccidentInvolvingPedestrian__999': 'false', 'AccidentHour__999': '16', 'geometry__999': <POINT Z (8.546 47.412 0)>, 'AccidentInvolvingBicycle__999': 'false'}]\n(Background on this error at: https://sqlalche.me/e/20/f405)"
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"/var/folders/s3/8bc7ys2d24lgqhdlpttvp70r0000gn/T/ipykernel_59953/958527375.py:15: UserWarning: Geometry column does not contain geometry.\n",
|
||||
" acc_df['geometry'] = acc_df['geometry'].apply(lambda geom: WKTElement(geom.wkt, srid=4326))\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "826"
|
||||
},
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from sqlalchemy import create_engine\n",
|
||||
"from geoalchemy2 import Geometry, WKTElement\n",
|
||||
"import geopandas as gpd\n",
|
||||
"from shapely import wkt\n",
|
||||
"\n",
|
||||
"db_url = f'postgresql://seb:@localhost:5432/test-db23'\n",
|
||||
"engine = create_engine(db_url)\n",
|
||||
"\n",
|
||||
"#miv_df.to_sql('table_name', engine, if_exists='replace', index=False)\n",
|
||||
"#fb_data.to_sql('footbike', engine, if_exists='replace', index=False)\n",
|
||||
"acc_df.to_sql('table_name', engine, if_exists='replace', index=False)\n"
|
||||
"\n",
|
||||
"geometry_column = 'geometry'\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"acc_df['geometry'] = acc_df['geometry'].apply(lambda geom: WKTElement(geom.wkt, srid=4326))\n",
|
||||
"\n",
|
||||
"acc_df.to_sql('accidents', engine, if_exists='replace', index=False, dtype={'geometry': Geometry('POINT', srid=4326)})\n",
|
||||
"\n"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T22:27:41.753420Z",
|
||||
"start_time": "2023-12-02T22:27:40.962764Z"
|
||||
"end_time": "2023-12-03T00:00:35.257439Z",
|
||||
"start_time": "2023-12-03T00:00:32.802219Z"
|
||||
}
|
||||
},
|
||||
"id": "fa76af8343443d7a"
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"execution_count": 22,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"engine.dispose()"
|
||||
@ -352,8 +325,8 @@
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"ExecuteTime": {
|
||||
"end_time": "2023-12-02T22:26:54.275225Z",
|
||||
"start_time": "2023-12-02T22:26:54.273410Z"
|
||||
"end_time": "2023-12-03T00:00:40.409019Z",
|
||||
"start_time": "2023-12-03T00:00:40.406193Z"
|
||||
}
|
||||
},
|
||||
"id": "bc0a23a5126e76c2"
|
||||
|
||||
Reference in New Issue
Block a user