2025.44 changes

source/plotting/charts/plotly_bar_colors.py

@@ -0,0 +1,17 @@
+import pandas as pd
+from plotly import express as px
+from plotly.colors import sequential, qualitative
+
+
+df = pd.DataFrame(data={
+    "month": [f"2005-{i:02d}" for i in range(1, 13)],
+    "temperature": [4.4, 6.8, 9.2, 11.5, 13.8, 16.3, 19.1, 21.4, 22.9, 20.5, 17.2, 13.9]
+})
+plot = px.bar(
+    df, x="month", y="temperature", color="temperature", template="seaborn",
+    title="Temperatures mensuelles de 2005",
+    color_continuous_scale=sequential.Turbo,
+    labels={"month": "Mois", "temperature": "Température (°C)"}
+)
+plot.layout.update({"font": {"family": "Cabin", "size": 13}})
+plot.show()

source/plotting/charts/plotly_bar_colors_custom.py

@@ -0,0 +1,17 @@
+import pandas as pd
+from plotly import express as px
+from plotly.colors import sequential, qualitative
+
+
+df = pd.DataFrame(data={
+    "month": [f"2005-{i:02d}" for i in range(1, 13)],
+    "temperature": [4.4, 6.8, 9.2, 11.5, 13.8, 16.3, 19.1, 21.4, 22.9, 20.5, 17.2, 13.9]
+})
+plot = px.bar(
+    df, x="month", y="temperature", color="temperature", template="seaborn",
+    title="Temperatures mensuelles de 2005",
+    color_continuous_scale=["#FF0020", "rgb(255,165,0)", "rgba(255,255,0,0.8)"],
+    labels={"month": "Mois", "temperature": "Température (°C)"}
+)
+plot.layout.update({"font": {"family": "Cabin", "size": 13}})
+plot.show()

source/plotting/charts/plotly_pie_colors.py

@@ -0,0 +1,14 @@
+import pandas as pd
+from plotly import express as px
+from plotly.colors import qualitative
+
+data = pd.DataFrame(data={
+    "name": ["headphones", "microphone", "speaker", "powerbank", "tablet", "laptop"],
+    "price": [99.99, 49.99, 149.99, 29.99, 199.99, 279.99],
+    "merchant": ["amazon", "amazon", "bestbuy", "amazon", "newegg", "amazon"],
+    "color": ["black", "silver", "white", "red", "gray", "silver"]
+})
+figure = px.pie(data, values="price", names="name", title="Prix", color_discrete_sequence=qualitative.Bold)
+figure.layout.update({"template": "seaborn", "title": "Prix à l'unité", "font": {"family": "Cabin", "size": 13}, "width": 1080, "height": 720})
+figure.update_traces(textposition="inside", textinfo="percent+label", texttemplate="%{label}<br>%{value}€ (%{percent:.2%})")
+figure.show()

source/plotting/charts/plotly_subplot_base.py

@@ -0,0 +1,19 @@
+import pandas as pd
+from plotly._subplots import SubplotXY
+from plotly.subplots import make_subplots
+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]
+})
+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.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_subplot_widths.py

@@ -0,0 +1,14 @@
+import pandas as pd
+from plotly.subplots import make_subplots
+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]
+})
+figure: Figure = make_subplots(rows=1, cols=2, column_widths=[0.6, 0.4], row_heights=[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.show()

source/plotting/charts/plotly_swatches.py

@@ -0,0 +1,55 @@
+import plotly.express as px
+from plotly.graph_objects import Figure, Scatter
+
+COLS: int = 3
+fig: Figure = px.colors.sequential.swatches_continuous()
+fig3: Figure = px.colors.qualitative.swatches()
+figb: Figure = px.colors.sequential.swatches()
+
+fig2 = Figure(layout={
+    "title": "Palette de couleurs continues Plotly Sequential",
+    "font": {"family": "Cabin", "size": 13},
+    "xaxis": {"visible": False, "showticklabels": False},
+    "yaxis": {"visible": False, "showticklabels": False},
+    "legend": {"visible": False},
+    "width": 1400,
+}).set_subplots(rows=22, cols=COLS)
+for i, p in enumerate(fig.select_traces()):  #type: int, Scatter
+    fig2.add_trace(p, row= (i // COLS) + 1, col=(i % COLS) + 1)
+fig2.update_xaxes({"visible": False, "showticklabels": False, "showgrid": False})
+fig2.update_yaxes({"visible": True, "showticklabels": True, "showgrid": False})
+fig2.update_yaxes(tickfont={"size": 11}, ticksuffix="   ")
+fig2.write_image("eda-plotly-colors-continuous.svg")
+# fig2.show(renderer="browser")
+
+fig4 = Figure(layout={
+    "title": "Palette de couleurs séquentielles Plotly Sequential",
+    "font": {"family": "Cabin", "size": 13},
+    "xaxis": {"visible": False, "showticklabels": False},
+    "yaxis": {"visible": False, "showticklabels": False},
+    "legend": {"visible": False},
+    "width": 1400,
+    "margin": {"t": 100, "b": 50, "l": 60, "r": 50},
+}).set_subplots(rows=22, cols=COLS)
+for i, p in enumerate(figb.select_traces()):  #type: int, Scatter
+    fig4.add_trace(p, row= (i // COLS) + 1, col=(i % COLS) + 1)
+fig4.update_xaxes({"visible": False, "showticklabels": False, "showgrid": False})
+fig4.update_yaxes({"visible": True, "showticklabels": True, "showgrid": False})
+fig4.update_yaxes(tickfont={"size": 11}, ticksuffix="   ")
+fig4.write_image("eda-plotly-colors-sequential.svg")
+
+fig3.update_layout({
+    "title": "Palette de couleurs qualitatives Plotly Qualitative",
+    "font": {"family": "Cabin", "size": 13},
+    "xaxis": {"visible": False, "showticklabels": False},
+    "yaxis": {"visible": False, "showticklabels": False},
+    "legend": {"visible": False},
+    "width": 1200,
+    "margin": {"t": 100, "b": 50, "l": 60, "r": 50},
+})
+fig3.update_xaxes({"visible": False, "showticklabels": False, "showgrid": False})
+fig3.update_yaxes({"visible": True, "showticklabels": True, "showgrid": False})
+fig3.update_yaxes(tickfont={"size": 11}, ticksuffix="   ")
+fig3.write_image("eda-plotly-colors-qualitative.svg")
+
+

source/plotting/charts/plotly_trace_image.py

@@ -0,0 +1,30 @@
+import pandas as pd
+from plotly.graph_objs import Figure, Bar
+from PIL import Image
+
+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],
+    }
+)
+figure: Figure = Figure(data=[Bar(name="Prix", x=data["product"], y=data["price"])])
+figure.add_layout_image(
+    layer="above",
+    x=0,
+    y=1.02,
+    xref="paper",
+    yref="paper",
+    sizex=1,
+    sizey=0.075,
+    xanchor="left",
+    yanchor="bottom",
+    source=Image.open("images/python-logo-square.png"),
+)
+figure.update_layout(
+    template="seaborn",
+    title="Prix et poids unitaires",
+    font={"family": "Cabin", "size": 13},
+)
+figure.show(renderer="browser")

source/plotting/charts/plotly_trace_rectangle.py

@@ -0,0 +1,20 @@
+import pandas as pd
+from plotly.graph_objs import Figure, Bar, Scatter
+
+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],
+    }
+)
+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.update_layout(
+    template="seaborn",
+    title="Prix et poids unitaires",
+    font={"family": "Cabin", "size": 13},
+    xaxis={"title": "Produit", "showgrid": False},
+    yaxis={"title": "Prix (€)", "showgrid": False}
+)
+figure.show(renderer="browser")