我正在使用 Potly Dashboard 構建儀表板。我使用的是深色引導主題，因此我不想要白色背景。但是，我的地圖現在看起來像這樣：生成它的代碼如下所示：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', ) ) ) ])我已經嘗試過paper_bgcolor，plot_bgcolor但無法使其工作。理想情況下，我想實現此圖像的外觀（請忽略紅點）：
2 回答
江戶川亂折騰
TA貢獻1851條經驗 獲得超5個贊
一般來說：
fig.update_layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'))
在您的具體示例中：
go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)')
陰謀：
代碼：
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()
你可能也想改變湖泊的顏色。但請注意，設置lakecolor = 'rgba(0,0,0,0)'將使湖泊與各州的顏色相同，而不是背景。所以我會去lakecolor='#4E5D6C'。你當然可以用 做同樣的事情bgcolor，但是將它設置為擺脫'rgba(0,0,0,0)'你特別要求的白色。
湖色圖：
湖色代碼：
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()
subunitcolor我們也可以更改狀態邊界顏色，或者在這種情況下更神秘地稱為。為了更好地匹配您想要的最終結果，我們還可以為土地顏色增添趣味：
國家邊界和國家顏色，情節：
狀態邊界和狀態顏色，代碼：
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()
繁星coding
TA貢獻1797條經驗 獲得超4個贊
我在這里找到了自己的方式，因為我想改變我的 Choroplethmapbox 的主題。接受的解決方案有所幫助，但最終我發現下面的代碼適用于我的情況：
實例化圖
fig = go.Figure()
添加一些痕跡
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 更改主題
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
)
)
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