pandas DataFrame.to_string() 从列中截断字符串
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pandas DataFrame.to_string() truncating strings from columns
提问by Kunal B.
When I try to use to_string to output a column from a dataframe, it truncates the output of the column.
当我尝试使用 to_string 从 a 输出一列时dataframe，它会截断该列的输出。
print gtf_df.ix[:1][['transcript_id','attributes']].to_string(header=False,index=False)
Out: ' CUFF.1.1 gene_id "CUFF.1"; transcript_id "CUFF.1.1"; FPKM '
print gtf_df.ix[:1]['attributes'][0]
Out: 'gene_id "CUFF.1"; transcript_id "CUFF.1.1"; FPKM "1670303.8168650887"; frac "1.000000"; conf_lo "0.000000"; conf_hi "5010911.450595"; cov "9658.694354";'
Any ideas as to how to resolve this problem? Thanks!
有关如何解决此问题的任何想法？谢谢！
回答by Wouter Overmeire
Using __repr__or to_stringcolumns are by default truncated at 50 chars. In versions of Pandas older than 0.13.1, this can be controlled using pandas.set_printoptions():
默认情况下，使用__repr__或to_string列被截断为 50 个字符。在 0.13.1 之前的 Pandas 版本中，可以使用pandas.set_printoptions()以下命令进行控制：
In [64]: df
Out[64]:
A B
a this is a very long string, longer than the defau bar
b foo baz
In [65]: pandas.set_printoptions(max_colwidth=100)
In [66]: df
Out[66]:
A B
a this is a very long string, longer than the default max_column width bar
b foo baz
In more recent versions of Pandas, use this instead:
在最新版本的 Pandas 中，改用这个：
pd.options.display.max_colwidth = 100
回答by neves
Pandas changed how to set this option. Here is the current documentation
Pandas 更改了设置此选项的方式。这是当前的文档
pd.set_option('display.max_colwidth', 100)
See the docs for other nice ones like:
请参阅其他不错的文档，例如：
pd.set_option('display.max_rows', 999)
