Python 如何摆脱Choropleth的白色背景？

我正在使用Potly dashboard构建一个仪表板。我使用了一个黑暗的引导主题，因此我不想要一个白色的背景

但是，我的地图现在看起来如下所示：

产生它的代码如下所示：

trace_map = html.Div(
    [
        dcc.Graph(
            id = "map",
            figure = go.Figure(
                data=go.Choropleth(
                locations=code, # Spatial coordinates
                z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )
        )
    ]
)

我试过

paper\u bgcolor

，也试过

plot\u bgcolor

，但没能成功

理想情况下，我希望实现此图像的外观（请忽略红点）： 一般来说：

fig.update_layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'))

在你的具体例子中：

go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)')

绘图：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

你可能也想改变湖泊的颜色。但是请注意，设置

lakecolor='rgba（0,0,0,0）

将使湖泊的颜色与各州相同，而不是地面。所以我选择了湖色=“#4E5D6C”。当然，您可以对

bgcolor

执行相同的操作，但是将其设置为

'rgba（0,0,0,0）

可以去除您特别要求的白色

湖泊颜色图：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

湖泊颜色代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

我们也可以改变州边界的颜色，或者在这个上下文中更隐晦地称为

subkecolor

。为了更好地匹配您想要的最终结果，我们还可以为landcolor添加香料：

州边界和州颜色，打印：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

州边界和州颜色，代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

一般来说：

fig.update_layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'))

在你的具体例子中：

go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)')

绘图：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

你可能也想改变湖泊的颜色。但是请注意，设置

lakecolor='rgba（0,0,0,0）

将使湖泊的颜色与各州相同，而不是地面。所以我选择了湖色=“#4E5D6C”。当然，您可以对

bgcolor

执行相同的操作，但是将其设置为

'rgba（0,0,0,0）

可以去除您特别要求的白色

湖泊颜色图：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

湖泊颜色代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

我们也可以改变州边界的颜色，或者在这个上下文中更隐晦地称为

subkecolor

。为了更好地匹配您想要的最终结果，我们还可以为landcolor添加香料：

州边界和州颜色，打印：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

州边界和州颜色，代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

---

我在这里找到了自己的路，因为我想改变我的Choroplethmapbox的主题。接受的解决方案有所帮助，但最终我发现以下代码适用于我的情况：

实例化图形 添加一些痕迹 最后，使用更新布局更改主题

---

我在这里找到了自己的路，因为我想改变我的Choroplethmapbox的主题。接受的解决方案有所帮助，但最终我发现以下代码适用于我的情况：

实例化图形 添加一些痕迹 最后，使用更新布局更改主题

---

伟大的谢谢，但是我不知道我应该把这个片段放在哪里。请告诉我好吗？因为我试着把geo放进go.Layout，但它显示了错误。@yts61我自己没有太多使用过

dcc.Graph

。但是如果你把

geo=dict（bgcolor='rgba（0,0,0,0）

放入你的

go.Layout

定义中，它应该可以正常工作。这对我来说很有效。谢谢，太好了！谢谢，但是我不知道我应该把这个片段放在哪里。请告诉我好吗？因为我试着把geo放进go.Layout，但它显示了错误。@yts61我自己没有太多使用过

dcc.Graph

。但是如果你把

geo=dict（bgcolor='rgba（0,0,0,0）

放入你的

go.Layout

定义中，它应该可以正常工作。这对我来说很有效。谢谢