0

私のデータ:

a,b,c,d,e,f
1.5,4.8,,6.3
1.60,5.2,6.5,7.2
1.70,5.5,6.6,8.3,5.7
1.80,6.1,6.7,9.7,6.2
1.90,7.1,6.8,11.1,6.7
2,,6.8,12.5,7.3
2.08,,,,7.8
2.1,,7.2
2.2,,8.0
2.3,,8.7
2.4,,9.2,8.2

from pandas import read_csv
ds = read_csv ('lin-nan.dat', index_col=0, sep=',')

Traceback (most recent call last):
  File "read_lin.py", line 7, in <module>
    ds = read_csv ('lin-nan.dat', index_col=0, sep=',')
  File "/home/nbecker/.local/lib/python2.7/site-packages/pandas/io/parsers.py", line 253, in read_csv
    return _read(TextParser, filepath_or_buffer, kdict)
  File "/home/nbecker/.local/lib/python2.7/site-packages/pandas/io/parsers.py", line 202, in _read
    return parser.get_chunk()
  File "/home/nbecker/.local/lib/python2.7/site-packages/pandas/io/parsers.py", line 844, in get_chunk
    alldata = self._rows_to_cols(content)
  File "/home/nbecker/.local/lib/python2.7/site-packages/pandas/io/parsers.py", line 809, in _rows_to_cols
    raise ValueError(msg)
ValueError: Expecting 6 columns, got 5 in row 1
4

2 に答える 2

1

error_bad_lines=False関数のオプションを使用できますread_csv。正しくフォーマットされていない行を自動的にスキップして印刷します。

于 2013-03-21T01:31:08.847 に答える
0

問題は、長さ 6 (最長は 5) の列がないことです。これを克服するためのキーワードはないと思います。read_csv

1 つの解決策は、より明確にすることです。

In [1]: df = pd.read_csv('lin-nan.dat', names=list('abcde'), index_col=0, skiprows=1)

In [2]: df['f'] = np.nan

In [3]: df
Out[3]: 
        b    c     d    e   f
a                            
1.50  4.8  NaN   6.3  NaN NaN
1.60  5.2  6.5   7.2  NaN NaN
1.70  5.5  6.6   8.3  5.7 NaN
1.80  6.1  6.7   9.7  6.2 NaN
1.90  7.1  6.8  11.1  6.7 NaN
2.00  NaN  6.8  12.5  7.3 NaN
2.08  NaN  NaN   NaN  7.8 NaN
2.10  NaN  7.2   NaN  NaN NaN
2.20  NaN  8.0   NaN  NaN NaN
2.30  NaN  8.7   NaN  NaN NaN
2.40  NaN  9.2   8.2  NaN NaN
于 2012-11-19T13:50:47.473 に答える