2025.46 changes

source/plotting/charts/plotly_regression_curve.py

@@ -0,0 +1,30 @@
+import pandas as pd
+import numpy as np
+from plotly.graph_objs import Figure, Scatter
+from scipy.ndimage import gaussian_filter
+
+# Créer une courbe aléatoire lissée de valeurs entre 1 et 80
+SIZE: int = 500
+np.random.seed(4)  # Pour reproduire les résultats
+df = pd.DataFrame(data={"col1": gaussian_filter(np.random.random(size=SIZE) * 79.0 + 1.0, sigma=SIZE / 133)})
+# Calculer les coefficients d'une régression de degré 2 pour col1
+c2, c1, c0 = np.polyfit(df.index, df["col1"], 2)
+df["reg1"] = c2 * df.index**2 + c1 * df.index + c0
+
+# Créer une image avec deux lignes
+figure = Figure(
+    data=[
+        Scatter(name="values", x=df.index, y=df["col1"], line={"color": "gray", "width": 1}, mode="lines"),
+        Scatter(
+            name="regression", x=df.index, y=df["reg1"], line={"color": "red", "width": 4, "dash": "dot"}, mode="lines"
+        ),
+    ],
+    layout={
+        "template": "seaborn",
+        "xaxis1": {"title": "time"},
+        "title": "Test de régression",
+        "font": {"family": "Cabin", "size": 13},
+        "yaxis1": {"title": "value"},
+    },
+)
+figure.show(renderer="browser")

source/plotting/charts/plotly_subplot_base.py

@@ -6,14 +6,12 @@ from plotly.graph_objs import Figure, Bar
 data = pd.DataFrame(data={
     "product": ["tarte", "gâteau", "biscuit", "mille-feuille", "éclair", "brownie"],
     "price": [2.99, 3.49, 1.99, 4.99, 5.99, 6.99],
-    "weight": [250, 300, 200, 400, 500, 600]
+    "weight": [400, 500, 100, 250, 150, 350]
 })
-figure: Figure = make_subplots(rows=1, cols=3, subplot_titles=("Prix", "Poids unitaires"))
-subplot = figure.get_subplot(row=1, col=2)
-subplot.xaxis["domain"] = [0.3555555, 1.0]
-print(subplot, dir(subplot))
+figure: Figure = make_subplots(rows=1, cols=2, subplot_titles=("Prix", "Poids unitaires"))
+# subplot = figure.get_subplot(row=1, col=2)
+# subplot.xaxis["domain"] = [0.3555555, 1.0]
 figure.add_trace(Bar(name="Prix", x=data["product"], y=data["price"]), row=1, col=1)
 figure.add_trace(Bar(name="Poids", x=data["product"], y=data["weight"]), row=1, col=2)
 figure.update_layout(template="seaborn", title="Prix et poids unitaires", font={"family": "Cabin", "size": 13})
-figure.update_traces(row=1, col=2, specs=2)
 figure.show(renderer="browser")

source/plotting/charts/plotly_trace_rectangle.py

@@ -1,5 +1,5 @@
 import pandas as pd
-from plotly.graph_objs import Figure, Bar, Scatter
+from plotly.graph_objs import Figure, Bar
 
 data = pd.DataFrame(
     data={
@@ -8,13 +8,21 @@ data = pd.DataFrame(
         "weight": [250, 300, 200, 400, 500, 600],
     }
 )
-figure: Figure = Figure(data=[Bar(name="Prix", x=data["product"], y=data["price"])])
-figure.add_hrect(y0=2.75, y1=4.5, fillcolor="gray", opacity=0.25, layer="below")
+figure: Figure = Figure(data=[])
+figure.add_hrect(
+    y0=2.75,
+    y1=4.5,
+    fillcolor="gray",
+    opacity=0.25,
+    layer="below",
+)
+figure.add_trace(Bar(name="Prix", x=data["product"], y=data["price"]))
+figure.add_annotation(text="Zone de prix spéciale", xref="paper", yref="paper", x=0.5, y=0.5, xanchor="center", yanchor="middle", showarrow=False, font={"family": "Cabin", "size": 20})
 figure.update_layout(
     template="seaborn",
     title="Prix et poids unitaires",
     font={"family": "Cabin", "size": 13},
     xaxis={"title": "Produit", "showgrid": False},
-    yaxis={"title": "Prix (€)", "showgrid": False}
+    yaxis={"title": "Prix (€)", "showgrid": False},
 )
 figure.show(renderer="browser")