Fix Python – Output data from all columns in a dataframe in pandas [duplicate]


Asked By – Curious2learn

I have a csv file with the name params.csv. I opened up ipython qtconsole and created a pandas dataframe using:

import pandas
paramdata = pandas.read_csv('params.csv', names=paramnames)

where, paramnames is a python list of string objects. Example of paramnames (the length of actual list is 22):

paramnames = ["id",

At the ipython prompt if I type paramdata and press enter then I do not get the dataframe with columns and values as shown in examples on Pandas website. Instead, I get information about the dataframe. I get:

In[35]: paramdata
<class 'pandas.core.frame.DataFrame'>
Int64Index: 59 entries, 0 to 58
Data columns:
id                    59  non-null values
fc                    59  non-null values
mc                    59  non-null values
markup                59  non-null values
asplevel              59  non-null values
aspreview             59  non-null values
reviewpd              59  non-null values

If I type paramdata['mc'] then I do get the values as expected for the mc column. I have two questions:

(1) In the examples on the pandas website (see, for example, the output of df here: typing the name of the dataframe gives the actual data. Why am I getting information about the dataframe as shown above instead of the actual data? Do I need to set some output options somewhere?

(2) How do I output all columns in the dataframe to the screen without having to type their names, i.e., without having to type something like paramdata[['id','fc','mc']].

I am using pandas version 0.8.

Thank you.

Now we will see solution for issue: Output data from all columns in a dataframe in pandas [duplicate]


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.


stores the respective column names and


stores the respective index (row names).

This question is answered By – eumiro

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