Python pour la data science

Lino Galiana

doi:10.5281/zenodo.8229676

La partie GeoPandas a évolué récemment. Vous pouvez retrouver les contenus liés à GeoPandas dans le chapitre suivant (éléments magistraux et exercices):

Introduction aux données spatiales avec Geopandas

Informations additionnelles

environment files have been tested on.

Latest built version: 2024-07-26

Python version used:

'3.11.6 | packaged by conda-forge | (main, Oct  3 2023, 10:40:35) [GCC 12.3.0]'

Package	Version
affine	2.4.0
aiobotocore	2.12.2
aiohttp	3.9.3
aioitertools	0.11.0
aiosignal	1.3.1
alembic	1.13.1
aniso8601	9.0.1
annotated-types	0.7.0
appdirs	1.4.4
archspec	0.2.3
astroid	3.1.0
asttokens	2.4.1
attrs	23.2.0
Babel	2.15.0
bcrypt	4.1.2
beautifulsoup4	4.12.3
black	24.4.2
blinker	1.7.0
blis	0.7.11
bokeh	3.4.0
boltons	23.1.1
boto3	1.34.51
botocore	1.34.51
branca	0.7.1
Brotli	1.1.0
cachetools	5.3.3
cartiflette	0.0.2
Cartopy	0.23.0
catalogue	2.0.10
cattrs	23.2.3
certifi	2024.2.2
cffi	1.16.0
charset-normalizer	3.3.2
click	8.1.7
click-plugins	1.1.1
cligj	0.7.2
cloudpathlib	0.18.1
cloudpickle	3.0.0
colorama	0.4.6
comm	0.2.2
commonmark	0.9.1
conda	24.3.0
conda-libmamba-solver	24.1.0
conda-package-handling	2.2.0
conda_package_streaming	0.9.0
confection	0.1.5
contextily	1.6.0
contourpy	1.2.1
cryptography	42.0.5
cycler	0.12.1
cymem	2.0.8
cytoolz	0.12.3
dask	2024.4.1
dask-expr	1.0.10
debugpy	1.8.1
decorator	5.1.1
dill	0.3.8
distributed	2024.4.1
distro	1.9.0
docker	7.0.0
duckdb	0.10.1
en-core-web-sm	3.7.1
entrypoints	0.4
et-xmlfile	1.1.0
exceptiongroup	1.2.0
executing	2.0.1
fastjsonschema	2.19.1
fiona	1.9.6
flake8	7.0.0
Flask	3.0.2
folium	0.16.0
fontawesomefree	6.6.0
fonttools	4.51.0
frozenlist	1.4.1
fsspec	2023.12.2
GDAL	3.8.4
gensim	4.3.2
geographiclib	2.0
geopandas	0.12.2
geoplot	0.5.1
geopy	2.4.1
gitdb	4.0.11
GitPython	3.1.43
google-auth	2.29.0
graphene	3.3
graphql-core	3.2.3
graphql-relay	3.2.0
graphviz	0.20.3
great-tables	0.10.0
greenlet	3.0.3
gunicorn	21.2.0
htmltools	0.5.3
hvac	2.1.0
idna	3.6
imageio	2.34.2
importlib_metadata	7.1.0
importlib_resources	6.4.0
inflate64	1.0.0
ipykernel	6.29.3
ipython	8.22.2
ipywidgets	8.1.2
isort	5.13.2
itsdangerous	2.1.2
jedi	0.19.1
Jinja2	3.1.3
jmespath	1.0.1
joblib	1.3.2
jsonpatch	1.33
jsonpointer	2.4
jsonschema	4.21.1
jsonschema-specifications	2023.12.1
jupyter-cache	1.0.0
jupyter_client	8.6.1
jupyter_core	5.7.2
jupyterlab_widgets	3.0.10
kaleido	0.2.1
kiwisolver	1.4.5
kubernetes	29.0.0
langcodes	3.4.0
language_data	1.2.0
lazy_loader	0.4
libmambapy	1.5.7
llvmlite	0.42.0
locket	1.0.0
lxml	5.2.2
lz4	4.3.3
Mako	1.3.2
mamba	1.5.7
mapclassify	2.6.1
marisa-trie	1.2.0
Markdown	3.6
markdown-it-py	3.0.0
MarkupSafe	2.1.5
matplotlib	3.8.3
matplotlib-inline	0.1.6
mccabe	0.7.0
mdurl	0.1.2
menuinst	2.0.2
mercantile	1.2.1
mizani	0.11.4
mlflow	2.11.3
mlflow-skinny	2.11.3
msgpack	1.0.7
multidict	6.0.5
multivolumefile	0.2.3
munkres	1.1.4
murmurhash	1.0.10
mypy	1.9.0
mypy-extensions	1.0.0
nbclient	0.10.0
nbformat	5.10.4
nest_asyncio	1.6.0
networkx	3.3
nltk	3.8.1
numba	0.59.1
numpy	1.26.4
oauthlib	3.2.2
opencv-python-headless	4.9.0.80
openpyxl	3.1.5
OWSLib	0.28.1
packaging	23.2
pandas	2.2.1
paramiko	3.4.0
parso	0.8.4
partd	1.4.1
pathspec	0.12.1
patsy	0.5.6
Pebble	5.0.7
pexpect	4.9.0
pickleshare	0.7.5
pillow	10.3.0
pip	24.0
pkgutil_resolve_name	1.3.10
platformdirs	4.2.0
plotly	5.19.0
plotnine	0.13.6
pluggy	1.4.0
polars	0.20.31
preshed	3.0.9
prometheus_client	0.20.0
prometheus-flask-exporter	0.23.0
prompt-toolkit	3.0.42
protobuf	4.25.3
psutil	5.9.8
ptyprocess	0.7.0
pure-eval	0.2.2
py7zr	0.20.8
pyarrow	15.0.0
pyarrow-hotfix	0.6
pyasn1	0.5.1
pyasn1-modules	0.3.0
pybcj	1.0.2
pycodestyle	2.11.1
pycosat	0.6.6
pycparser	2.21
pycryptodomex	3.20.0
pydantic	2.8.2
pydantic_core	2.20.1
pyflakes	3.2.0
Pygments	2.17.2
PyJWT	2.8.0
pylint	3.1.0
PyNaCl	1.5.0
pynsee	0.1.7
pyOpenSSL	24.0.0
pyparsing	3.1.2
pyppmd	1.1.0
pyproj	3.6.1
pyshp	2.3.1
PySocks	1.7.1
python-dateutil	2.9.0
python-dotenv	1.0.1
python-magic	0.4.27
pytz	2024.1
pyu2f	0.1.5
pywaffle	1.1.1
PyYAML	6.0.1
pyzmq	25.1.2
pyzstd	0.16.0
QtPy	2.4.1
querystring-parser	1.2.4
rasterio	1.3.10
referencing	0.34.0
regex	2023.12.25
requests	2.31.0
requests-cache	1.2.1
requests-oauthlib	2.0.0
rich	13.7.1
rpds-py	0.18.0
rsa	4.9
Rtree	1.2.0
ruamel.yaml	0.18.6
ruamel.yaml.clib	0.2.8
s3fs	2023.12.2
s3transfer	0.10.1
scikit-image	0.24.0
scikit-learn	1.4.1.post1
scipy	1.13.0
seaborn	0.13.2
setuptools	69.2.0
shapely	2.0.3
shellingham	1.5.4
six	1.16.0
smart_open	7.0.4
smmap	5.0.0
snuggs	1.4.7
sortedcontainers	2.4.0
soupsieve	2.5
spacy	3.7.5
spacy-legacy	3.0.12
spacy-loggers	1.0.5
SQLAlchemy	2.0.29
sqlparse	0.4.4
srsly	2.4.8
stack-data	0.6.2
statsmodels	0.14.1
tabulate	0.9.0
tblib	3.0.0
tenacity	8.2.3
texttable	1.7.0
thinc	8.2.5
threadpoolctl	3.4.0
tifffile	2024.7.24
tomli	2.0.1
tomlkit	0.12.4
toolz	0.12.1
topojson	1.9
tornado	6.4
tqdm	4.66.2
traitlets	5.14.2
truststore	0.8.0
typer	0.12.3
typing_extensions	4.11.0
tzdata	2024.1
Unidecode	1.3.8
url-normalize	1.4.3
urllib3	1.26.18
wasabi	1.1.3
wcwidth	0.2.13
weasel	0.4.1
webdriver-manager	4.0.2
websocket-client	1.7.0
Werkzeug	3.0.2
wheel	0.43.0
widgetsnbextension	4.0.10
wordcloud	1.9.3
wrapt	1.16.0
xgboost	2.0.3
xlrd	2.0.1
xyzservices	2024.4.0
yarl	1.9.4
yellowbrick	1.5
zict	3.0.0
zipp	3.17.0
zstandard	0.22.0

View file history

md`Ce fichier a été modifié __${table_commit.length}__ fois depuis sa création le ${creation_string} (dernière modification le ${last_modification_string})`

creation = d3.min(
  table_commit.map(d => new Date(d.Date))
)

last_modification = d3.max(
  table_commit.map(d => new Date(d.Date))
)

creation_string = creation.toLocaleString("fr", {
  "day": "numeric",
  "month": "long",
  "year": "numeric"
})

last_modification_string = last_modification.toLocaleString("fr", {
  "day": "numeric",
  "month": "long",
  "year": "numeric"
})

html`<div>${git_history_table}</div>`

html`<div>${git_history_plot}</div>`

SHA	Date	Author	Description
91bfa52	2024-05-27 15:01:32	Lino Galiana	Restructuration partie geopandas (#500)
06d003a	2024-04-23 10:09:22	Lino Galiana	Continue la restructuration des sous-parties (#492)
8c316d0	2024-04-05 19:00:59	Lino Galiana	Fix cartiflette deprecated snippets (#487)
ce33d5d	2024-01-16 15:47:22	Lino Galiana	Adapte les exemples de code de cartiflette (#482)
005d89b	2023-12-20 17:23:04	Lino Galiana	Finalise l’affichage des statistiques Git (#478)
3fba612	2023-12-17 18:16:42	Lino Galiana	Remove some badges from python (#476)
1f23de2	2023-12-01 17:25:36	Lino Galiana	Stockage des images sur S3 (#466)
69cf52b	2023-11-21 16:12:37	Antoine Palazzolo	[On-going] Suggestions chapitres modélisation (#452)
09654c7	2023-11-14 15:16:44	Antoine Palazzolo	Suggestions Git & Visualisation (#449)
8728352	2023-10-24 11:50:08	Lino Galiana	Correction coquilles geopandas (#444)
102ce9f	2023-10-22 11:39:37	Thomas Faria	Relecture Thomas, première partie (#438)
a771183	2023-10-09 11:27:45	Antoine Palazzolo	Relecture TD2 par Antoine (#418)
f8831e7	2023-10-09 10:53:34	Lino Galiana	Relecture antuki geopandas (#429)
154f09e	2023-09-26 14:59:11	Antoine Palazzolo	Des typos corrigées par Antoine (#411)
9a4e226	2023-08-28 17:11:52	Lino Galiana	Action to check URL still exist (#399)
a8f90c2	2023-08-28 09:26:12	Lino Galiana	Update featured paths (#396)
a9198de	2023-08-25 18:33:00	Lino Galiana	Geopandas tutorial
3bdf3b0	2023-08-25 11:23:02	Lino Galiana	Simplification de la structure 🤓 (#393)
130ed71	2023-07-18 19:37:11	Lino Galiana	Restructure les titres (#374)
f0c583c	2023-07-07 14:12:22	Lino Galiana	Images viz (#371)
f21a24d	2023-07-02 10:58:15	Lino Galiana	Pipeline Quarto & Pages 🚀 (#365)
8d81b5f	2023-02-18 18:21:59	Lino Galiana	Change source get_vectorfile (#355)
d2eb6c2	2023-02-18 17:15:35	Lino Galiana	Update index.qmd
3912a7e	2023-02-07 17:18:25	Lino Galiana	Back to IGN provider (#350)
0312041	2022-12-11 13:43:49	Lino Galiana	reprend box de geopandas (#332)
6662800	2022-10-28 11:14:27	Lino Galiana	Change IGN dataset provider (#308)
f394b23	2022-10-13 14:32:05	Lino Galiana	Dernieres modifs geopandas (#298)
8df6bbc	2022-10-12 11:50:57	Lino Galiana	Corrige les tags du tuto geopandas (#295)
af763cc	2022-10-12 10:17:56	Lino Galiana	Reprise exercice geopandas (#294)
1ef97df	2022-10-11 12:14:03	Lino Galiana	Relecture chapitre geopandas (#289)
f10815b	2022-08-25 16:00:03	Lino Galiana	Notebooks should now look more beautiful (#260)
494a85a	2022-08-05 14:49:56	Lino Galiana	Images featured ✨ (#252)
d201e3c	2022-08-03 15:50:34	Lino Galiana	Pimp la homepage ✨ (#249)
12965ba	2022-05-25 15:53:27	Lino Galiana	:launch: Bascule vers quarto (#226)
9c71d6e	2022-03-08 10:34:26	Lino Galiana	Plus d’éléments sur S3 (#218)
5cac236	2021-12-16 19:46:43	Lino Galiana	un petit mot sur mercator (#201)
77120b8	2021-11-01 20:28:28	Lino Galiana	Ajoute une section sur le geocodage (#173)
6777f03	2021-10-29 09:38:09	Lino Galiana	Notebooks corrections (#171)
2a8809f	2021-10-27 12:05:34	Lino Galiana	Simplification des hooks pour gagner en flexibilité et clarté (#166)
735e677	2021-10-19 09:46:12	Lino Galiana	Règle problème des cartes qui s’affichent pas (#165)
5ad057f	2021-10-10 15:13:16	Lino Galiana	Relectures pandas & geopandas (#159)
2e4d586	2021-09-02 12:03:39	Lino Galiana	Simplify badges generation (#130)
4cdb759	2021-05-12 10:37:23	Lino Galiana	:sparkles: :star2: Nouveau thème hugo :snake: :fire: (#105)
7f9f97b	2021-04-30 21:44:04	Lino Galiana	🐳 + 🐍 New workflow (docker 🐳) and new dataset for modelization (2020 🇺🇸 elections) (#99)
6d010fa	2020-09-29 18:45:34	Lino Galiana	Simplifie l’arborescence du site, partie 1 (#57)
66f9f87	2020-09-24 19:23:04	Lino Galiana	Introduction des figures générées par python dans le site (#52)
badc492	2020-09-22 18:36:33	Lino Galiana	Finalize geopandas section (#48)
ffb05cf	2020-09-10 17:18:15	Lino Galiana	Partie sur les données spatiales (#20) :warning: pas fini

git_history_table = Inputs.table(
  table_commit,
  {
    format: {
      SHA: x => md`[${x}](${github_repo}/commit/${x})`,
      Description: x => md`${replacePullRequestPattern(x, github_repo)}`,
      /*Date: x => x.toLocaleString("fr", {
        "month": "numeric",
        "day": "numeric",
        "year": "numeric"
        })
      */
    }
  }
)

git_history_plot = Plot.plot({
  marks: [
    Plot.ruleY([0], {stroke: "royalblue"}),
    Plot.dot(
          table_commit,
          Plot.pointerX({x: (d) => new Date(d.date), y: 0, stroke: "red"})),
    Plot.dot(table_commit, {x: (d) => new Date(d.Date), y: 0, fill: "royalblue"})
  ]
})

function replacePullRequestPattern(inputString, githubRepo) {
    // Use a regular expression to match the pattern #digit
    var pattern = /#(\d+)/g;

    // Replace the pattern with ${github_repo}/pull/#digit
    var replacedString = inputString.replace(pattern, '[#$1](' + githubRepo + '/pull/$1)');

    return replacedString;
}

github_repo = "https://github.com/linogaliana/python-datascientist"

table_commit = {

// Get the HTML table by its class name
var table = document.querySelector('.commit-table');

// Check if the table exists
if (table) {
    // Initialize an array to store the table data
    var dataArray = [];

    // Extract headers from the first row
    var headers = [];
    for (var i = 0; i < table.rows[0].cells.length; i++) {
        headers.push(table.rows[0].cells[i].textContent.trim());
    }

    // Iterate through the rows, starting from the second row
    for (var i = 1; i < table.rows.length; i++) {
        var row = table.rows[i];
        var rowData = {};

        // Iterate through the cells in the row
        for (var j = 0; j < row.cells.length; j++) {
            // Use headers as keys and cell content as values
            rowData[headers[j]] = row.cells[j].textContent.trim();
        }

        // Push the rowData object to the dataArray
        dataArray.push(rowData);
    }
  }

  return dataArray

}

// Get the element with class 'git-details'
{
  var gitDetails = document.querySelector('.commit-table');

  // Check if the element exists
  if (gitDetails) {
      // Hide the element
      gitDetails.style.display = 'none';
  }
}

Plot = require('@observablehq/plot@0.6.12/dist/plot.umd.min.js')

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Citation

BibTeX citation:

@book{galiana2023,
  author = {Galiana, Lino},
  title = {Python Pour La Data Science},
  date = {2023},
  url = {https://pythonds.linogaliana.fr/},
  doi = {10.5281/zenodo.8229676},
  langid = {en}
}

For attribution, please cite this work as:

Galiana, Lino. 2023. Python Pour La Data Science. https://doi.org/10.5281/zenodo.8229676.