CODEWITHSUNDEEP
pythonpandasstring
Yantraguru
Yantraguru

Reputation: 3844

Print very long string completely in pandas dataframe

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']})

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

I tried following options

Upvotes: 223

Views: 311790

Answers (9)

omnesia
omnesia

Reputation: 2867

Use pd.set_option('display.max_colwidth', None) for automatic linebreaks and multi-line cells.

This is a great resource on how to use jupyters display with pandas to the fullest.

Edited: Used to be pd.set_option('display.max_colwidth', -1).

Upvotes: 119

Harshit Kumar
Harshit Kumar

Reputation: 12837

If you're using jupyter notebook, you can also print pandas dataframe as HTML table, which will print full strings.

from IPython.display import display, HTML
display(HTML(df.to_html()))

Output

    one
0   one
1   two
2   This is very long string very long string very long string veryvery long string

Upvotes: 6

Sachin Rastogi
Sachin Rastogi

Reputation: 477

I have created a small utility function, this works well for me

def display_text_max_col_width(df, width):
    with pd.option_context('display.max_colwidth', width):
        print(df)

display_text_max_col_width(train_df["Description"], 800)

I can change length of the width as per my requirement, without setting any option permanently.

Upvotes: 7

Amila Viraj
Amila Viraj

Reputation: 1064

Just add the following line to your code before print.

 pd.options.display.max_colwidth = 90  # set a value as your need

You can simply do the following steps for setting other additional options,

  • You can change the options for pandas max_columns feature as follows to display more columns

    import pandas as pd
pd.options.display.max_columns = 10

    (this allows 10 columns to display, you can change this as you need)

  • Like that you can change the number of rows as you need to display as follows to display more rows

    pd.options.display.max_rows = 999

    (this allows to print 999 rows at a time)

this should works fine

Please kindly refer the doc to change more options/settings for pandas

Upvotes: 8

user2428107
user2428107

Reputation: 3243

The way I often deal with the situation you describe is to use the .to_csv() method and write to stdout:

import sys

df.to_csv(sys.stdout)

Update: it should now be possible to just use None instead of sys.stdout with similar effect!

This should dump the whole dataframe, including the entirety of any strings. You can use the to_csv parameters to configure column separators, whether the index is printed, etc. It will be less pretty than rendering it properly though.

I posted this originally in answer to the somewhat-related question at Output data from all columns in a dataframe in pandas

Upvotes: 6

bigbounty
bigbounty

Reputation: 17368

Another easier way to print the whole string is to call values on the dataframe.

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

print(df.values)

The Output will be

[['one']
 ['two']
 ['This is very long string very long string very long string veryvery long string']]

Upvotes: 22

Rocketq
Rocketq

Reputation: 5791

Another, pretty simple approach is to call list function:

list(df['one'][2])
# output:
['This is very long string very long string very long string veryvery long string']

No worth to mention, that is not good to convent to list the whole columns, but for a simple line - why not

Upvotes: 28

joris
joris

Reputation: 139172

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

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'

Upvotes: 291

fixxxer
fixxxer

Reputation: 16144

Is this what you meant to do ?

In [7]: x =  pd.DataFrame({'one' : ['one', 'two', 'This is very long string very long string very long string veryvery long string']})

In [8]: x
Out[8]: 
                                                 one
0                                                one
1                                                two
2  This is very long string very long string very...

In [9]: x['one'][2]
Out[9]: 'This is very long string very long string very long string veryvery long string'

Upvotes: 4

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