我正在处理一个大型文本文件（500k行），其格式如下：

S1_A16
0.141,0.009340221649748676
0.141,4.192618196894668E-5
0.11,0.014122135626540204
S1_A17
0.188,2.3292323316081486E-6
0.469,0.007928706856794138
0.172,3.726771730573038E-5

我正在使用下面的代码返回每个系列的相关系数，例如S！_A16：

import numpy as np
import pandas as pd
import csv
pd.options.display.max_rows = None
fileName = 'wordUnigramPauseTEST.data'

df = pd.read_csv(fileName, names=['pause', 'probability'])
mask = df['pause'].str.match('^S\d+_A\d+')
df['S/A'] = (df['pause']
              .where(mask, np.nan)
              .fillna(method='ffill'))
df = df.loc[~mask]

result = df.groupby(['S/A']).apply(lambda grp: grp['pause'].corr(grp['probability']))
print(result)

但是，在一些大文件上，这将返回错误：

Traceback (most recent call last):
  File "/Users/adamg/PycharmProjects/Subj_AnswerCorrCoef/GetCorrCoef.py", line 15, in <module>
    print(result)
  File "/Users/adamg/anaconda/lib/python2.7/site-packages/pandas/core/base.py", line 35, in __str__
    return self.__bytes__()
  File "/Users/adamg/anaconda/lib/python2.7/site-packages/pandas/core/base.py", line 47, in __bytes__
    return self.__unicode__().encode(encoding, 'replace')
  File "/Users/adamg/anaconda/lib/python2.7/site-packages/pandas/core/series.py", line 857, in __unicode__
    result = self._tidy_repr(min(30, max_rows - 4))
TypeError: unsupported operand type(s) for -: 'NoneType' and 'int'

我了解这与该print声明有关，但是如何解决？

编辑 ：这与最大行数有关。有谁知道如何容纳更多的行？