2025.42 changes

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")