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pandas - Statsmodels 马赛克图 ValueError : cannot convert float NaN to integer

转载 作者：行者123 更新时间：2023-12-04 18:38:11 25 4
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我有一个简单的 Pandas DataFrame，我想为其创建一个马赛克图。这是我的代码:

import pandas as pd
from statsmodels.graphics.mosaicplot import mosaic 

mydata = pd.DataFrame({'id2': {64: 'Angelica', 
                               65: 'DXW_UID', 66: 'casuid01', 
                               67: 'casuid01', 68: 'EC93_uid', 
                               69: 'EC93_uid', 70: 'EC93_uid', 
                               60: 'DXW_UID',  61: 'AtmosFox', 
                               62: 'DXW_UID', 63: 'DXW_UID'}, 
                       'id1': {64: 'TGP', 
                               65: 'Retention01', 66: 'default',
                               67: 'default', 68: 'Musa_EC_9_3', 
                               69: 'Musa_EC_9_3', 70: 'Musa_EC_9_3', 
                               60: 'default', 61: 'default', 
                               62: 'default', 63: 'default'}})

mydata
            id1       id2
60      default   DXW_UID
61      default  AtmosFox
62      default   DXW_UID
63      default   DXW_UID
64          TGP  Angelica
65  Retention01   DXW_UID
66      default  casuid01
67      default  casuid01
68  Musa_EC_9_3  EC93_uid
69  Musa_EC_9_3  EC93_uid
70  Musa_EC_9_3  EC93_uid

[11 rows x 2 columns]

当我排除第 64 行时，我可以很好地创建马赛克图。 
mosaic(mydata[mydata.id1!='TGP'], ['id1','id2'])
(<matplotlib.figure.Figure object at 0x11E0D3B0>, OrderedDict([(('default', 'DXW_UID'), (0.0, 0.0, 0.594059405940594, 0.49504950495049505)), (('default', 'AtmosFox'), (0.0, 0.49834983498349833, 0.594059405940594, 0.16501650165016499)), (('default', 'casuid01'), (0.0, 0.66666666666666663, 0.594059405940594, 0.33003300330033009)), (('default', 'EC93_uid'), (0.0, 1.0, 0.594059405940594, 0.0)), (('Retention01', 'DXW_UID'), (0.599009900990099, 0.0, 0.09900990099009899, 0.99009900990099009)), (('Retention01', 'AtmosFox'), (0.599009900990099, 0.99339933993399343, 0.09900990099009899, 0.0)), (('Retention01', 'casuid01'), (0.599009900990099, 0.99669966996699666, 0.09900990099009899, 0.0)), (('Retention01', 'EC93_uid'), (0.599009900990099, 1.0, 0.09900990099009899, 0.0)), (('Musa_EC_9_3', 'DXW_UID'), (0.7029702970297029, 0.0, 0.29702970297029707, 0.0)), (('Musa_EC_9_3', 'AtmosFox'), (0.7029702970297029, 0.0033003300330033004, 0.29702970297029707, 0.0)), (('Musa_EC_9_3', 'casuid01'), (0.7029702970297029, 0.0066006600660066007, 0.29702970297029707, 0.0)), (('Musa_EC_9_3', 'EC93_uid'), (0.7029702970297029, 0.0099009900990099011, 0.29702970297029707, 0.99009900990099009))]))

情节很好(除了一些看起来有点滑稽的标签——但这不是问题)。

当我包含第 64 行时会发生错误。我的问题是，为什么这一行会导致此错误，我该如何解决？我可以看到在尝试绘制图像时发生了错误，但是 NaN 的来源并不明显，特别是因为之前的绘图工作得很好。 
mosaic(mydata, ['id1','id2'])
(<matplotlib.figure.Figure object at 0x11D13ED0>, OrderedDict([(('default', 'DXW_UID'), (0.0, 0.0, 0.5373936408419167, 0.49342105263157893)), (('default', 'AtmosFox'), (0.0, 0.49671052631578938, 0.5373936408419167, 0.16447368421052627)), (('default', 'casuid01'), (0.0, 0.66447368421052622, 0.5373936408419167, 0.32894736842105265)), (('default', 'Angelica'), (0.0, 0.99671052631578938, 0.5373936408419167, 0.0)), (('default', 'EC93_uid'), (0.0, 1.0, 0.5373936408419167, 0.0)), (('TGP', 'DXW_UID'), (0.5423197492163009, 0.0, 0.08956560680698614, 0.0)), (('TGP', 'AtmosFox'), (0.5423197492163009, 0.0032894736842105261, 0.08956560680698614, 0.0)), (('TGP', 'casuid01'), (0.5423197492163009, 0.0065789473684210523, 0.08956560680698614, 0.0)), (('TGP', 'Angelica'), (0.5423197492163009, 0.0098684210526315784, 0.08956560680698614, 0.98684210526315785)), (('TGP', 'EC93_uid'), (0.5423197492163009, 1.0, 0.08956560680698614, 0.0)), (('Retention01', 'DXW_UID'), (0.6368114643976712, 0.0, 0.08956560680698614, 0.98684210526315785)), (('Retention01', 'AtmosFox'), (0.6368114643976712, 0.99013157894736836, 0.08956560680698614, 0.0)), (('Retention01', 'casuid01'), (0.6368114643976712, 0.99342105263157876, 0.08956560680698614, 0.0)), (('Retention01', 'Angelica'), (0.6368114643976712, 0.99671052631578938, 0.08956560680698614, 0.0)), (('Retention01', 'EC93_uid'), (0.6368114643976712, 1.0, 0.08956560680698614, 0.0)), (('Musa_EC_9_3', 'DXW_UID'), (0.7313031795790416, 0.0, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'AtmosFox'), (0.7313031795790416, 0.0032894736842105261, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'casuid01'), (0.7313031795790416, 0.0065789473684210523, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'Angelica'), (0.7313031795790416, 0.0098684210526315784, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'EC93_uid'), (0.7313031795790416, 0.013157894736842105, 0.2686968204209583, 0.98684210526315785))]))

当我运行上面的代码时，我得到了这个 Traceback: 
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4.py", line 374, in idle_draw
    self.draw()
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line 154, in draw
    FigureCanvasAgg.draw(self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 451, in draw
    self.figure.draw(self.renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 1034, in draw
    func(*args)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 2086, in draw
    a.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1096, in draw
    tick.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 241, in draw
    self.label1.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\text.py", line 598, in draw
    ismath=ismath, mtext=self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 188, in draw_text
    font.get_image(), np.round(x - xd), np.round(y + yd) + 1, angle, gc)
ValueError: cannot convert float NaN to integer
Traceback (most recent call last):
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4.py", line 299, in resizeEvent
    self.draw()
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line 154, in draw
    FigureCanvasAgg.draw(self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 451, in draw
    self.figure.draw(self.renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 1034, in draw
    func(*args)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 2086, in draw
    a.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1096, in draw
    tick.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 241, in draw
    self.label1.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\text.py", line 598, in draw
    ismath=ismath, mtext=self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 188, in draw_text
    font.get_image(), np.round(x - xd), np.round(y + yd) + 1, angle, gc)
ValueError: cannot convert float NaN to integer

我在 spyder IDE 中使用默认设置运行了上述代码。

解决了类似的问题 here ，而数字下溢是罪魁祸首。但是，如果这里是这种情况，那么原因就完全不明显了。

最佳答案

根据 the docs第一个参数应该是列联表。您的做事方式完全有效这一事实似乎是一个未记录的功能。

您看到的行为(包括看起来“有趣”的标签)是因为列联表中的许多条目为零，并且标签代码中的某些内容 mosiac很难做到这一点。

要查看此内容，请转换您的 DataFrame列联表:

In [161]: pd.crosstab(mydata.id1, mydata.id2)
Out[161]: 
id2          Angelica  AtmosFox  DXW-UID  EC93-uid  casuid01
id1                                                         
Musa-EC-9-3         0         0        0         3         0
Retention01         0         0        1         0         0
TGP                 1         0        0         0         0
default             0         1        3         0         2

并为所有这些零添加“一点点”。马赛克然后工作正常。 
In [165]: ct = pd.crosstab(mydata.id1, mydata.id2)
In [166]: ctplus = ct + 1
In [167]: mosaic(ctplus.unstack())

结果相当漂亮:
Beautiful mosaic plot

一个小小的缺点是它是错误的!但是你可以通过这样做来解决这个问题 
ctplus = ct + 1e-8

只需为所有这些零添加一点点。情节仍然有效(但看起来很难看，因为马赛克的所有这些零图块上的标签都在彼此之上):

A much uglier mosaic plot

关于pandas - Statsmodels 马赛克图 ValueError : cannot convert float NaN to integer，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/31031780/

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