如何摆脱 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，因此我不想要白色背景。

但是，我的地图现在看起来像这样：

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，但无法成功。

理想情况下，我想实现此图像的外观（请忽略红点）：

Answer 1

一般：

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)')

剧情：

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()

您可能还想更改湖泊的颜色。但请注意，设置lakecolor = 'rgba(0,0,0,0)' 将使湖泊与各州的颜色相同，而不是背景。所以我会选择lakecolor='#4E5D6C'。您当然可以对 bgcolor 做同样的事情，但是将其设置为 'rgba(0,0,0,0)' 会摆脱您特别要求的白色。

湖色图：

湖色代码：

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，我们还可以为地色增添趣味：

状态边界和状态颜色，绘图：

状态边框和状态颜色，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()

Answer 2

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

实例化图

fig = go.Figure()

添加一些痕迹

fig.add_trace(go.Choroplethmapbox(geojson=data_for_choropleth_geojson, 
                                  locations=data_for_choropleth['fips'],
                                  z=data_for_choropleth['total_population'],
                                  featureidkey='properties.fips'
                              ))

最后，使用 update_layout 更改主题

fig.update_layout(
    hovermode='closest',
    mapbox=dict(
                # style options: "basic", "streets", "outdoors", 
                # "dark", "satellite", or "satellite-streets","light"
                # "open-street-map", "carto-positron", 
                # "carto-darkmatter", "stamen-terrain", 
                # "stamen-toner" or "stamen-watercolor"
                style='light',
                bearing=0,
                pitch=0,
                accesstoken=TOKEN,
                zoom=5,
                center=dict(
                    lat=29.4652568,
                    lon=-98.613121
        )
)