我有一个大的gzip
文件,我想将其导入到pandas数据框中。不幸的是,该文件的列数不均匀。数据格式大致如下:
.... Col_20: 25 Col_21: 23432 Col22: 639142
.... Col_20: 25 Col_22: 25134 Col23: 243344
.... Col_21: 75 Col_23: 79876 Col25: 634534 Col22: 5 Col24: 73453
.... Col_20: 25 Col_21: 32425 Col23: 989423
.... Col_20: 25 Col_21: 23424 Col22: 342421 Col23: 7 Col24: 13424 Col 25: 67
.... Col_20: 95 Col_21: 32121 Col25: 111231
作为一个测试,我试了一下:
^{pr2}$我得到的回报是:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/nfs/sw/python/python-3.5.1/lib/python3.5/site-packages/pandas/io/parsers.py", line 795, in __next__
return self.get_chunk()
File "/nfs/sw/python/python-3.5.1/lib/python3.5/site-packages/pandas/io/parsers.py", line 836, in get_chunk
return self.read(nrows=size)
File "/nfs/sw/python/python-3.5.1/lib/python3.5/site-packages/pandas/io/parsers.py", line 815, in read
ret = self._engine.read(nrows)
File "/nfs/sw/python/python-3.5.1/lib/python3.5/site-packages/pandas/io/parsers.py", line 1761, in read
alldata = self._rows_to_cols(content)
File "/nfs/sw/python/python-3.5.1/lib/python3.5/site-packages/pandas/io/parsers.py", line 2166, in _rows_to_cols
raise ValueError(msg)
ValueError: Expected 18 fields in line 28, saw 22
如何为分配一定数量的列熊猫.read_csv()? 在
你也可以试试这个:
error_bad_lines
将跳过错误的行。我看看能不能找到更好的选择编辑:为了维护被
^{pr2}$error_bad_lines
跳过的行,我们可以遍历错误并将其添加回dataframe相关问题 更多 >
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