在pandas数据框中完全打印很长的字符串 [英] Print very long string completely in pandas dataframe

问题描述

我正在努力处理看似非常简单的事情.我有一个包含很长字符串的pandas数据框.

I am struggling with the seemingly very simple thing.I have a pandas data frame containing very long string.

df = pd.DataFrame({'one' : ['one', 'two', 
      'This is very long string very long string very long string veryvery long string']})

现在，当我尝试打印相同的字符串时，我看不到完整的字符串，而只看到了字符串的一部分.

Now when I try to print the same, I do not see the full string I rather see only part of the string.

我尝试了以下选项

• 使用print(df.iloc[2])
• 使用to_html
• 使用to_string
• 其中一个stackoverflow答案建议将列宽增加 使用pandas显示选项，该方法也不起作用.
• 我也不知道set_printoptions将如何帮助我.

• using print(df.iloc[2])
• using to_html
• using to_string
• One of the stackoverflow answer suggested to increase column width by using pandas display option, that did not work either.
• I also did not get how set_printoptions will help me.

任何想法都值得赞赏.看起来很简单，但无法获得！

Any ideas appreciated. Looks very simple, but not able to get it!

推荐答案

您可以使用options.display.max_colwidth指定要在默认表示形式中查看的内容:

You can use options.display.max_colwidth to specify you want to see more in the default representation:

In [2]: df
Out[2]:
                                                 one
0                                                one
1                                                two
2  This is very long string very long string very...

In [3]: pd.options.display.max_colwidth
Out[3]: 50

In [4]: pd.options.display.max_colwidth = 100

In [5]: df
Out[5]:
                                                                               one
0                                                                              one
1                                                                              two
2  This is very long string very long string very long string veryvery long string

确实，如果您只想检查一个值，则可以通过访问它(作为标量，而不是像df.iloc[2]那样作为一行)来查看完整的字符串:

And indeed, if you just want to inspect the one value, by accessing it (as a scalar, not as a row as df.iloc[2] does) you also see the full string:

In [7]: df.iloc[2,0]    # or df.loc[2,'one']
Out[7]: 'This is very long string very long string very long string veryvery long string'

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