Output data from all columns in a dataframe in pandas

Use:

pandas.set_option('display.max_columns', 7)

This will force Pandas to display the 7 columns you have. Or more generally:

pandas.set_option('display.max_columns', None)

which will force it to display any number of columns.

Explanation: the default for max_columns is 0, which tells Pandas to display the table only if all the columns can be squeezed into the width of your console.

Alternatively, you can change the console width (in chars) from the default of 80 using e.g:

pandas.set_option('display.width', 200)

I know this is an old question, but I have just had a similar problem and I think what I did would work for you too.

I used the to_csv() method and wrote to stdout:

import sys

paramdata.to_csv(sys.stdout)

This should dump the whole dataframe whether it's nicely-printable or not, and you can use the to_csv parameters to configure column separators, whether the index is printed, etc.

Edit: It is now possible to use None as the target for .to_csv() with similar effect, which is arguably a lot nicer:

paramdata.to_csv(None)

There is too much data to be displayed on the screen, therefore a summary is displayed instead.

If you want to output the data anyway (it won't probably fit on a screen and does not look very well):

print paramdata.values

converts the dataframe to its numpy-array matrix representation.

paramdata.columns

stores the respective column names and

paramdata.index

stores the respective index (row names).