情节：饼图只显示图例

Question

我正在尝试创建一个饼图。 我有与此类似的数据框：

>>> land_cover                                         count
1   Closed (>40%) broadleaved evergreen or semidec...   1102
2   Closed broadleaved forest or shrubland permane...   22
3   Closed grassland                                     213
4   Closed to open broadleaved decidous shrubland       3
5   Closed to open broadleaved evergreen or semid...    3480
6   Closed to open herbaceousvegetation (or lichen...   501
7   Closed to open shrubland                           9200
8   Closedto open broadleavedforest regularly floo...   89

我试图用这样的情节创建图表：

import plotly.express as px
import plotly.graph_objects as go


fig = px.pie(df, values='count', names='land_cover', title='land cover')
fig.update_layout(title_x=0.48)

fig.show()

但是我得到一个图表，它只显示没有饼图本身的图例。

我已经完全用这个脚本创建了其他饼图，所以我没有找到它不能正确生成饼图的原因。

这可能是什么原因？

Answer 1

我相当肯定这纯粹是一个数据问题。 我将您的示例数据编辑为逗号分隔版本：

land_cover,count
1,Closed (>40%) broadleaved evergreen or semidec,1102
2,Closed broadleaved forest or shrubland permane,22
3,Closed grassland,213
4,Closed to open broadleaved decidous shrubland,3
5,Closed to open broadleaved evergreen or semid,3480
6,Closed to open herbaceousvegetation (or lichen,501
7,Closed to open shrubland,9200
8,Closedto open broadleavedforest regularly floo,89

然后我使用df.to_dict()将它转储到 dict 中， df.to_dict()于重现。 现在，下面的完整代码片段可以毫无问题地生成以下图：

阴谋

代码

import plotly.express as px
import plotly.graph_objects as go
import pandas as pd

df = pd.DataFrame({'land_cover': {1: 'Closed (>40%) broadleaved evergreen or semidec',
                                  2: 'Closed broadleaved forest or shrubland permane',
                                  3: 'Closed grassland',
                                  4: 'Closed to open broadleaved decidous shrubland',
                                  5: 'Closed to open broadleaved evergreen or semid',
                                  6: 'Closed to open herbaceousvegetation (or lichen',
                                  7: 'Closed to open shrubland',
                                  8: 'Closedto open broadleavedforest regularly floo'},
                                 'count': {1: 1102, 2: 22, 3: 213, 4: 3, 5: 3480, 6: 501, 7: 9200, 8: 89}})

fig = px.pie(df, values='count', names='land_cover', title='land cover')
fig.update_layout(title_x=0.48)

fig.show()