2025.42 changes

source/pandas/01-pandas-files/.pandasrc.ini

@@ -0,0 +1,11 @@
+[display]
+width = 200
+max_colwidth = 25
+max_columns = 20
+min_rows = 20
+precision = 3
+expand_frame_repr = True
+memory_usage = True
+
+[display.html]
+border = 4

source/pandas/01-pandas-files/03-csv-catalog.py

@@ -0,0 +1,7 @@
+import pandas as pd
+from pandas import configfile
+
+
+configfile.load()
+df = pd.read_csv("../data/csv/demo-file.csv", encoding="1252", header=None)
+print(df)

source/plotting/agg-pie.py

@@ -2,7 +2,7 @@ import pandas as pd
 from matplotlib import use, pyplot
 
 # Utiliser tkinter
-use("TkAgg")
+# use("TkAgg")
 pyplot.style.use('ggplot')
 pyplot.rcParams["font.family"] = "Cabin"
 

source/plotting/charts/plotly_figure_bar.py

@@ -0,0 +1,14 @@
+import pandas as pd
+from plotly.graph_objs import Figure, Bar
+
+
+if __name__ == '__main__':
+    df = pd.DataFrame(data={"label": ["Citron", "Pomme", "Mangue"], "price": [1.99, 3.97, 6.8]})
+    figure = Figure(
+        data=[Bar(x=df["label"], y=df["price"])],
+        layout={
+            "font": {"family": "Cabin", "size": 20},
+            "title": "Prix au kilo",
+        }
+    )
+    figure.show(renderer="browser")

source/plotting/charts/plotly_figure_multiaxis.py

@@ -0,0 +1,20 @@
+import pandas as pd
+from plotly.graph_objs import Figure, Bar
+
+data = pd.DataFrame(data={
+    "product": ["pomme", "poire", "banane", "pêche"],
+    "price": [1.99, 2.49, 2.99, 3.49], "wpu": [200, 180, 140, 200]
+})
+figure = Figure([
+    Bar(name="Prix", x=data["product"], y=data["price"], yaxis="y1", offsetgroup=1, texttemplate="%{y:.2f}€"),
+    Bar(name="Poids", x=data["product"], y=data["wpu"], yaxis="y2", offsetgroup=2, texttemplate="%{y:.2f}g"),
+])
+# Afficher le dernier graphique généré
+figure.layout.update({
+    "template": "seaborn",
+    "title": "Prix et poids unitaires",
+    "font": {"family": "Cabin", "size": 13},
+    "yaxis1": {"title": "Prix (€)", "color": "red"},
+    "yaxis2": {"title": "Poids (g)", "overlaying": "y1", "side": "right"}
+})
+figure.show(renderer="browser")

source/plotting/charts/plotly_figure_pie.py

@@ -0,0 +1,27 @@
+import pandas as pd
+from plotly.graph_objs import Figure, Pie
+from plotly.colors import qualitative
+
+data = pd.DataFrame(data={
+    "product": ["oignon", "carotte", "pomme", "poire", "radis", "tomate"],
+    "category": ["légume", "légume", "fruit", "fruit", "légume", "fruit"],
+    "origin": ["Espagne", "France", "France", "France", "France", "Espagne"],
+    "price": [1.69, 2.49, 2.99, 1.79, 1.29, 2.99]
+})
+figure = Figure(
+    data=[Pie(
+        values=data["price"],
+        labels=data["product"].str.title(),
+        customdata=data[["category", "origin"]],
+        title="Prix",
+        textinfo="label+value",
+        texttemplate="<b>%{label}</b><br>%{value:.2f}€<br><em>%{customdata[0]}</em><br>%{customdata[1]}",
+        insidetextorientation="tangential")
+    ],
+    layout={
+        "template": "seaborn",
+        "font": {"family": "Cabin", "size": 20},
+        "title": "Prix au kilo",
+        "piecolorway": qualitative.Prism
+    })
+figure.show(renderer="browser")

source/plotting/charts/plotly_figure_sunburst.py

@@ -0,0 +1,29 @@
+import pandas as pd
+from plotly.graph_objs import Figure, Sunburst
+
+
+if __name__ == '__main__':
+    df = pd.DataFrame(data={
+        "continent": ["Europe", "Europe", "Europe", "Europe", "Europe", "Europe", "Europe", "Asia", "Asia"],
+        "country": ["France", "France", "Spain", "Spain", "England", "England", "England", "China", "China"],
+        "city": ["Montpellier", "Bordeaux", "Madrid", "Valencia", "London", "Manchester", "Bristol", "Beijing", "Shanghai"],
+        "sales": [150_000, 127_000, 97_200, 137_250, 200_000, 180_000, 150_000, 120_000, 140_000]
+    })
+    # Create a path column
+    PATH: list[str] = ["continent", "country", "city"]
+    COLUMNS: list[str] = [None] * (len(PATH) - 2) + ["parent", "child"]
+
+    rollups = []
+    base = df.groupby(PATH).sum(numeric_only=True)
+    for level in range(len(PATH)):
+        rollup = base.groupby(None, level=list(range(level + 1))).sum()
+        rollup = rollup.reset_index(list(range(level + 1)), names=COLUMNS[-level - 1:])
+        rollups.append(rollup)
+    rollups = pd.concat(rollups, axis=0)
+
+    sb = Sunburst(labels=rollups["child"], parents=rollups["parent"], values=rollups["sales"], textinfo="label+value+percent parent", texttemplate="%{label}<br>%{value:,.2f}€", branchvalues="total")
+    fig: Figure = Figure(sb, layout={
+        "font": {"family": "Cabin", "size": 13},
+        "margin": {"l": 0, "r": 0, "b": 0, "t": 0}
+    })
+    fig.show(renderer="browser")

source/plotting/charts/plotly_sunburst.py

@@ -17,5 +17,9 @@ if __name__ == '__main__':
     })
     plot = sunburst(df, path=["country", "city"], values="sales", title="Sales by country and city", template="ggplot2",
                     color_discrete_sequence=plotly.colors.qualitative.Dark2)
-    plot.layout.update({"font": {"family": "Cabin", "size": 13}})
-    plot.show()
+    sb = next(plot.select_traces(row=0, col=0))
+    sb.textinfo="label+percent parent"
+    # sb.texttemplate="%{label}<br>%{value:.2f}€"
+    plot.layout.update({"font": {"family": "Cabin", "size": 13}, "showlegend": True})
+    # plot.update_traces(textinfo="label+percent parent", texttemplate="%{label}<br>%{value:.2f}€")
+    plot.show(renderer="browser")

source/plotting/charts/plotly_template_select.py

@@ -0,0 +1,9 @@
+from plotly.express import bar
+import pandas as pd
+
+data = pd.DataFrame({
+    "product": ["stylo", "clavier", "souris", "écran"],
+    "price": [1.99, 15.99, 8.99, 129.99],
+})
+figure = bar(data, x="product", y="price", title="Prix", template="seaborn")
+figure.show(renderer="browser")

source/requirements.txt

@@ -1,163 +0,0 @@
-amqp==5.2.0
-anyio==4.3.0
-argon2-cffi==23.1.0
-argon2-cffi-bindings==21.2.0
-arrow==1.3.0
-asttokens==2.4.1
-async-lru==2.0.4
-attrs==23.2.0
-Babel==2.14.0
-beautifulsoup4==4.12.3
-billiard==4.2.0
-bleach==6.1.0
-blinker==1.8.1
-cairocffi==1.7.0
-celery==5.4.0
-certifi==2024.2.2
-cffi==1.16.0
-charset-normalizer==3.3.2
-click==8.1.7
-click-didyoumean==0.3.1
-click-plugins==1.1.1
-click-repl==0.3.0
-cloudpickle==3.0.0
-comm==0.2.2
-contexttimer==0.3.3
-contourpy==1.2.1
-cycler==0.12.1
-dash==2.16.1
-dash-core-components==2.0.0
-dash-html-components==2.0.0
-dash-table==5.0.0
-dask==2024.6.2
-dask-expr==1.1.6
-debugpy==1.8.1
-decorator==5.1.1
-defusedxml==0.7.1
-distributed==2024.6.2
-duckdb==1.0.0
-et-xmlfile==1.1.0
-executing==2.0.1
-fastjsonschema==2.19.1
-Flask==3.0.3
-fonttools==4.51.0
-fqdn==1.5.1
-fsspec==2024.6.1
-greenlet==3.0.3
-h11==0.14.0
-httpcore==1.0.5
-httpx==0.27.0
-idna==3.7
-importlib_metadata==7.1.0
-ipykernel==6.29.4
-ipython==8.24.0
-ipywidgets==8.1.2
-isoduration==20.11.0
-itsdangerous==2.2.0
-jedi==0.19.1
-Jinja2==3.1.3
-json5==0.9.25
-jsonpointer==2.4
-jsonschema==4.22.0
-jsonschema-specifications==2023.12.1
-jupyter==1.0.0
-jupyter-console==6.6.3
-jupyter-events==0.10.0
-jupyter-lsp==2.2.5
-jupyter_client==8.6.1
-jupyter_core==5.7.2
-jupyter_server==2.14.0
-jupyter_server_terminals==0.5.3
-jupyterlab==4.1.8
-jupyterlab_pygments==0.3.0
-jupyterlab_server==2.27.1
-jupyterlab_widgets==3.0.10
-kiwisolver==1.4.5
-kombu==5.3.7
-locket==1.0.0
-MarkupSafe==2.1.5
-matplotlib==3.8.4
-matplotlib-inline==0.1.7
-mistune==3.0.2
-msgpack==1.0.8
-nbclient==0.10.0
-nbconvert==7.16.4
-nbformat==5.10.4
-nest-asyncio==1.6.0
-notebook==7.1.3
-notebook_shim==0.2.4
-numpy==1.26.4
-openpyxl==3.1.2
-overrides==7.7.0
-packaging==24.0
-pandas==2.2.2
-pandas-stubs==2.2.2.240603
-pandocfilters==1.5.1
-parso==0.8.4
-partd==1.4.2
-pexpect==4.9.0
-pillow==10.3.0
-platformdirs==4.2.1
-plotly==5.21.0
-polars==0.20.31
-prometheus_client==0.20.0
-prompt-toolkit==3.0.43
-psutil==5.9.8
-psycopg==3.2.1
-ptyprocess==0.7.0
-pure-eval==0.2.2
-pyarrow==16.1.0
-pycparser==2.22
-Pygments==2.17.2
-pylibmc==1.6.3
-pyparsing==3.1.2
-PySide6==6.7.0
-PySide6_Addons==6.7.0
-PySide6_Essentials==6.7.0
-python-dateutil==2.9.0.post0
-python-json-logger==2.0.7
-pytz==2024.1
-PyYAML==6.0.1
-pyzmq==26.0.2
-qtconsole==5.5.1
-QtPy==2.4.1
-redis==5.0.4
-referencing==0.35.0
-requests==2.31.0
-retrying==1.3.4
-rfc3339-validator==0.1.4
-rfc3986-validator==0.1.1
-rpds-py==0.18.0
-Send2Trash==1.8.3
-setuptools==69.5.1
-shiboken6==6.7.0
-six==1.16.0
-sniffio==1.3.1
-sortedcontainers==2.4.0
-soupsieve==2.5
-SQLAlchemy==2.0.31
-stack-data==0.6.3
-tblib==3.0.0
-tenacity==8.2.3
-terminado==0.18.1
-tinycss2==1.3.0
-toolz==0.12.1
-tornado==6.4
-traitlets==5.14.3
-types-python-dateutil==2.9.0.20240316
-types-pytz==2024.1.0.20240417
-typing_extensions==4.11.0
-tzdata==2024.1
-Unidecode==1.3.8
-uri-template==1.3.0
-urllib3==2.2.1
-vine==5.1.0
-wcwidth==0.2.13
-webcolors==1.13
-webencodings==0.5.1
-websocket-client==1.8.0
-Werkzeug==3.0.2
-widgetsnbextension==4.0.10
-XlsxWriter==3.2.0
-zict==3.0.0
-zipp==3.18.1