Plotly Express 简介
Plotly Express 是一个新的高级 Python 可视化库:它是 Plotly.py 的高级封装,它为复杂的图表提供了一个简单的语法。
参考 官方文档
散点图
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| import plotly.express as px
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| iris = px.data.iris() fig = px.scatter(iris, x='sepal_length', y='sepal_width') fig.show()
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| fig = px.scatter(iris, x='sepal_length', y='sepal_width', color='species', marginal_x='histogram', marginal_y='box', trendline='ols') fig.show()
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| iris['error'] = iris['sepal_width']/100.00 fig = px.scatter(iris, x='sepal_length', y='sepal_width', color='species', marginal_x='histogram', marginal_y='box', trendline='ols', error_x='error', error_y='error') fig.show()
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| tips = px.data.tips() fig = px.scatter(tips, x="total_bill", y="tip", facet_row="time", facet_col="day", color="smoker", trendline="ols", category_orders={"day": ["Thur", "Fri", "Sat", "Sun"], "time": ["Lunch", "Dinner"]}) fig.show()
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| fig = px.scatter_matrix(iris, dimensions=["sepal_width", "sepal_length", "petal_width", "petal_length"], color="species") fig.show()
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| gapminder = px.data.gapminder() fig = px.scatter(gapminder.query('year==2007'), x='gdpPercap', y='lifeExp', size='pop', color='continent', hover_name='country', log_x=True, size_max=60)
fig.show()
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| fig = px.scatter(gapminder, x="gdpPercap", y="lifeExp", animation_frame="year", animation_group="country", size="pop", color="continent", hover_name="country", facet_col="continent", log_x=True, size_max=45, range_x=[100,100000], range_y=[25,90])
fig.show()
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线图
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| iris = px.data.iris() fig = px.density_contour(iris, x='sepal_width', y='sepal_length', color='species', marginal_x='histogram', marginal_y='box')
fig.show()
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| fig = px.density_heatmap(iris, x='sepal_width', y='sepal_length') fig.show()
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直方图/条形图
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| fig = px.bar(iris, x='sepal_width', y='sepal_length', color='species') fig.show()
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| fig = px.histogram(iris, x='sepal_width', y='sepal_length', color='species') fig.show()
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3D
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| election = px.data.election() fig = px.scatter_3d(election, x="Joly", y="Coderre", z="Bergeron", color="winner", size="total", hover_name="district", symbol="result", color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"}) fig.show()
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三元坐标系
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| election = px.data.election() fig = px.scatter_ternary(election, a="Joly", b="Coderre", c="Bergeron", color="winner", size="total", hover_name="district", size_max=15, color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"} ) fig.show()
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地图
注:需要使用mapbox token。
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| px.set_mapbox_access_token("xxx") carshare = px.data.carshare() fig = px.scatter_mapbox(carshare, lat="centroid_lat", lon="centroid_lon", color="peak_hour", size="car_hours", color_continuous_scale=px.colors.cyclical.IceFire, size_max=15, zoom=10) fig.show()
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| gapminder = px.data.gapminder() fig = px.scatter_geo(gapminder, locations="iso_alpha", color="continent", hover_name="country", size="pop", animation_frame="year", projection="natural earth") fig.show()
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| fig = px.choropleth(gapminder, locations="iso_alpha", color="lifeExp", hover_name="country", animation_frame="year", range_color=[20,80]) fig.show()
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图像保存
- 保存为html文件,可以嵌入到网页中。
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| import plotly.io as pio pio.write_html(fig, file='test.html')
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注:如果可以嵌入到markdown中,那真的完美了😃
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