python - 如何去掉 Choropleth 的白色背景？

Question

我正在使用 Potly Dashboard 构建仪表板。我使用的是深色引导主题，因此我不需要白色背景。

但是，我的 map 现在看起来像这样:

生成它的代码如下所示:

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',
                                  )
            )
        )
    ]
)

我尝试过 paper_bgcolor 和 plot_bgcolor 但无法使其工作。

理想情况下，我希望实现该图像的外观(请忽略红点):

Answer 1

一般情况下:

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

在您的具体示例中:

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

plotly :

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()

您可能也想改变湖泊的颜色。但请注意，设置 lakecolor = 'rgba(0,0,0,0)' 将为湖泊提供与州而不是背景相同的颜色。所以我会选择lakecolor='#4E5D6C'。您当然可以使用 bgcolor 执行相同的操作，但将其设置为 'rgba(0,0,0,0)' 会摆脱您特别要求的白色。

湖泊颜色图:

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)', 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()

我们也可以更改状态边框颜色，或者在这种情况下更神秘地称为subunitcolor。为了更好地匹配您想要的最终结果，我们还可以为土地颜色增添趣味:

州边界和州颜色，绘图:

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)', 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()