Python Plotly：饼图仅显示图例

我正试图在plotly中创建一个饼图。我的dataframe与此类似：

>>> 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

我正试图创建图表，其情节如下：

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()

但我得到的图表只显示了图例，没有饼图本身

我已经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

---

造成这种情况的原因是什么？

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的版本：

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（）

将其转储到一个dict中，以便于复制。现在，下面完整的代码段生成了以下没有问题的绘图：

情节

代码

---

谢谢您的回答，我已将其中一个值的名称从空白改为非空白，这没有任何帮助，然后我将项目名称缩短，使其变得更好。@Reut Ok，酷！如果我的回答帮助你获得了你想要的，请考虑把它作为一个被接受的答案来投票和/或标记它。issue@reut等我有时间的时候再去看看。如果你什么都没听到，请随时提醒我=）

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()