使用color_discrete_map不改变颜色

Question

我有个情节：

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下面是情节代码：

plot_df = pd.DataFrame(df.groupby('target')['age'].mean())
plot_df = plot_df.reset_index()

fig = px.bar(plot_df, x='target', y='age',height=800,
             title='Average Age by Target',
             color_discrete_map={'Finance & Investments': '#BFC5DA','Manufacturing': '#5D6A92'},
             text='age', opacity=0.85)
fig.update_traces(texttemplate='Mean age %{text:,0.f}',
                  textposition='outside',
                  marker_line=dict(width=1, color='#303030'))
fig.update_xaxes(title="Industry")
fig.update_yaxes(title="Mean Age")

fig.update_layout(paper_bgcolor='#F4F2F0',
                  plot_bgcolor='#F4F2F0',
                  title_font_size=28, font_family="monospace",
                  width=1300,
                  height=700,
                  showlegend=False)

fig.show(renderer='colab')

我已经试过很多次了，但是颜色仍然没有改变，也没有改变。

Answer 1

在使用color="target" Plotly创建图形时，您错过了

全工作代码

import pandas as pd
import numpy as np
import plotly.express as px

df = pd.DataFrame(
    {
        "target": np.random.choice(
            ["Finance & Investments", "Manufacturing", "Technology"], 100
        ),
        "age": np.random.uniform(15, 55),
    }
)

plot_df = pd.DataFrame(df.groupby("target")["age"].mean())
plot_df = plot_df.reset_index()

fig = px.bar(
    plot_df,
    x="target",
    y="age",
    height=800,
    title="Average Age by Target",
    color="target",  # this parameter was missed !!!
    color_discrete_map={"Finance & Investments": "#BFC5DA", "Manufacturing": "#5D6A92"},
    text="age",
    opacity=0.85,
)
fig.update_traces(
    texttemplate="Mean age %{text:,0.f}",
    textposition="outside",
    marker_line=dict(width=1, color="#303030"),
)
fig.update_xaxes(title="Industry")
fig.update_yaxes(title="Mean Age")

fig.update_layout(
    paper_bgcolor="#F4F2F0",
    plot_bgcolor="#F4F2F0",
    title_font_size=28,
    font_family="monospace",
    width=1300,
    height=700,
    showlegend=False,
)