Python中的 plotly.express.scatter_geo()函数

Python的 Plotly 库对于数据可视化和简单轻松地理解数据非常有用。 Plotly 图形对象是一个易于使用的高级界面。

plotly.express.scatter_geo()函数

此函数用于将地理数据绘制到地图上。

Syntax: plotly.express.scatter_geo(data_frame=None, lat=None, lon=None, locations=None, locationmode=None, color=None, text=None, hover_name=None, hover_data=None, custom_data=None, size=None, title=None, template=None, width=None, height=None)

Parameters:

data_frame: DataFrame or array-like or dict needs to be passed for column names.

lat: This parameter is used to position marks according to latitude on a map.

lon: This parameter is used to position marks according to longitude on a map.

locations: This parameter is interpreted according to locationmode and mapped to longitude/latitude.

locationmode: This parameter determines the set of locations used to match entries in locations to regions on the map.

color: This parameters assign color to marks.

size: This parameter is used to assign mark sizes. It is either a name of a column in data_frame, or a pandas Series or array_like object.

title: This parameter sets the title of the figure.

width: This parameter sets the width of the figure

height: This parameter sets the height of the figure.

示例 1：

Python3

import plotly.express as px
  
  
df = px.data.gapminder().query("year == 2007")
  
plot = px.scatter_geo(df, locations="iso_alpha")
plot.show()

输出：

示例 2：使用大小和颜色参数

Python3

import plotly.express as px
  
  
df = px.data.gapminder().query("year == 2007")
  
plot = px.scatter_geo(df, locations="iso_alpha",
                      size="gdpPercap",
                      color = "country")
plot.show()

输出：