我正在处理一个大文本文件(500k行),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,例如小号_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,在某些大文件上,这会返回错误：

Traceback (most recent call last):

File "/Users/adamg/PycharmProjects/Subj_AnswerCorrCoef/GetCorrCoef.py", line 15, in

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'

我知道这与print语句有关,但我该如何解决呢？

编辑：

这与最大行数有关.有谁知道如何容纳更多的行？