[英]How plot points based on categorical variable in plotly
I am using Plotly for visualization.我正在使用 Plotly 进行可视化。 I want to make plot, and give the points colors based on categorical variable.我想制作 plot,并根据分类变量给出分数 colors。
fig = go.Figure()
fig.add_trace(go.Scatter(x=df.Predicted, y=df.Predicted,colors='Category',mode='markers',
))
fig.add_trace(go.Scatter(x=df.Predicted, y=df.real , colors='Category'
))
fig.show()
where Category is column in my dataframe. How can I do this kind of graph其中类别是我的 dataframe 中的列。我该怎么做这种图表
px.scatter()
to generate traces defined in your question.曾经调用px.scatter()
来生成问题中定义的跟踪。 Plus have renamed traces in second call to ensure legend is clear and made them lines另外在第二次调用中重命名了痕迹以确保图例清晰并使它们成为线条import numpy as np
import pandas as pd
import plotly.express as px
df = pd.DataFrame(
{
"Predicted": np.sort(np.random.uniform(3, 15, 100)),
"real": np.sort(np.random.uniform(3, 15, 100)),
"Category": np.random.choice(list("ABCD"), 100),
}
)
px.scatter(df, x="Predicted", y="Predicted", color="Category").add_traces(
px.line(df, x="Predicted", y="real", color="Category")
.for_each_trace(
lambda t: t.update(name="real " + t.name)
) # make it clear in legend this is second set of traces
.data
)
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