How to Display Full (Non-Truncated) Dataframe Information in HTML When Converting from Pandas Dataframe to HTML

How can I display full (non-truncated) dataframe information in HTML when converting from Pandas dataframe to HTML?

Set the display.max_colwidth option to None (or -1 before version 1.0):

pd.set_option('display.max_colwidth', None)

set_option documentation

For example, in IPython, we see that the information is truncated to 50 characters. Anything in excess is ellipsized:

If you set the display.max_colwidth option, the information will be displayed fully:

Make a not available column in PySpark dataframe full of zero

You can separate the select into a different step. Then you will be able to use a conditional expression together with list comprehension.

from pyspark.sql import functions as F

fd_orion_apps = fd_orion_apps.groupBy('msisdn', 'apps_id').pivot('apps_id').count()
fd_orion_apps = fd_orion_apps.select(
    'msisdn',
    *[c if c in fd_orion_apps.columns else F.lit(0).alias(c) for c in parameter_cut.columns]
)

Error when passing argument through function for converting pandas dataframe of tweets into corpus files

Problem

You are passing myfolder as a variable to your function which you have not defined in your code and hence it raises a NameError.

Solution

Just replace it with 'myfolder' [pass it as a string].

CreateCorpusFromDataFrame('myfolder',mydf)

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