38 lines
993 B
Python
38 lines
993 B
Python
import plotly.express as px
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import pandas
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df = px.data.gapminder()
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df1 = df.query("country == 'United States' or continent == 'Asia'")
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# 根据大陆对数据进行分组，并计算每个大陆的人均GDP平均值
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gdpPercap_summary = df.groupby('continent')[['gdpPercap','lifeExp']].mean().reset_index()
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# 显示结果
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print(gdpPercap_summary)
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print(df1.columns)
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fig = px.line(df1,
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x="year",
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y="lifeExp",
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# color="continent",
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title="A Plotly Express Figure",
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markers=True,
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# symbol="continent",
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line_shape="linear"
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)
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# ['linear', 'hv', 'vh', 'hvh', 'vhv']
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df2 = df.query("continent == 'Oceania'")
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fig = px.bar(df2,
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x="year",
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y="pop",
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color="country",
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barmode="group"
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)
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df = px.data.tips()
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print(df.columns)
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fig = px.pie(df,values="total_bill",names="day"
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)
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fig.show()
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