文章目录
- Plotly Express 简介
- 散点图
- 线图
- 直方图/条形图
- 3D
- 三元坐标系
- 地图
- 图像保存
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
1 | import plotly.express as px |
1 2 3 | iris = px.data.iris() fig = px.scatter(iris, x='sepal_length', y='sepal_width') fig.show() |
1 2 3 | fig = px.scatter(iris, x='sepal_length', y='sepal_width', color='species', marginal_x='histogram', marginal_y='box', trendline='ols') fig.show() |
1 2 3 4 | 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() |
1 2 3 | 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() |
1 2 | fig = px.scatter_matrix(iris, dimensions=["sepal_width", "sepal_length", "petal_width", "petal_length"], color="species") fig.show() |
1 2 3 4 | 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) # gapminder[gapminder['year']==2007] fig.show() |
1 2 3 | 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() |
线图
1 2 3 4 | 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() |
1 2 | fig = px.density_heatmap(iris, x='sepal_width', y='sepal_length') fig.show() |
直方图/条形图
1 2 | fig = px.bar(iris, x='sepal_width', y='sepal_length', color='species') fig.show() |
1 2 | fig = px.histogram(iris, x='sepal_width', y='sepal_length', color='species') fig.show() |
3D
1 2 3 4 | 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() |
三元坐标系
1 2 3 | 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() |
地图
注：需要使用mapbox token。
1 2 3 4 | 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() |
1 2 3 | 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() |
1 2 | fig = px.choropleth(gapminder, locations="iso_alpha", color="lifeExp", hover_name="country", animation_frame="year", range_color=[20,80]) fig.show() |
图像保存
- 保存为html文件，可以嵌入到网页中。
1 2 | import plotly.io as pio pio.write_html(fig, file='test.html') |
注：如果可以嵌入到markdown中，那真的完美了??
文章始发于公众号：DreamHub
