How can I left justify text in a pandas DataFrame column in an IPython notebook -

i trying format output in ipython notebook. tried using to_string function, , neatly lets me eliminate index column. textual data right justified.

in [10]:

import pandas pd columns = ['text', 'value'] = pd.dataframe ({'text': ['abcdef', 'x'], 'value': [12.34, 4.2]}) print (a.to_string (index=false))     text  value  abcdef  12.34       x   4.20 

the same true when printing dataframe.

in [12]:

print (a)       text  value 0  abcdef  12.34 1       x   4.20 

the justify argument in to_string function, surprisingly, justifies column heading.

in [13]:

import pandas pd columns = ['text', 'value'] = pd.dataframe ({'text': ['abcdef', 'x'], 'value': [12.34, 4.2]}) print (a.to_string (justify='left', index=false)) text     value  abcdef  12.34       x   4.20 

how can control justification settings individual columns?

if you're willing use library, tabulate -

$ pip install tabulate 

and then

from tabulate import tabulate df = pd.dataframe ({'text': ['abcdef', 'x'], 'value': [12.34, 4.2]}) print(tabulate(df, showindex=false, headers=df.columns))  text      value ------  ------- abcdef    12.34 x          4.2 

it has various other output formats also.