Python - Pandas - Printing String Attributes of Two Columns

You can provide a factor, which represents the number of spaces desired, to multiply it to a single space in the print statement

import pandas as pd

# mock data following your example, replace by your own data
col1 = ['foo', 'bar']
col2 = ['tri', 'car']
my_df = pd.DataFrame({'this_col': col1, 'another_col': col2})

# Specify your desired number of spaces between the dataframe columns print
desired_num_spaces = 10

# Print dataframes with specified columns separated by the desired number of spaces
print(my_df['this_col'].str[:2] + desired_num_spaces * ' ' + my_df['another_col'].str[:2])

gives

0    fo          tr
1    ba          ca
dtype: object

Btw: In Python the use of snake_case for variable and key names is preferred. Please do not use camelCase naming style as used in other languages like C#, Java, ...

df=pd.DataFrame({'col1':['foo','bar'],'col2':['foo','bar'],'col3':['foo','bar']})

Select the required columns and then apply the chooper function, which will cut the string upto first two characters

def chopper(x):
    return x[:2]

print(df[['col1','col3']].applymap(chopper))

Output:

  col1 col3
0   fo   fo
1   ba   ba

Another option:

If your threshold for substring is 5 or more, you can use pandas display options

pd.set_option('max_colwidth',6)

pd.set_option('max_colwidth',6)
df=pd.DataFrame({0:['asdfzklnlkdsfnalsdfknals;dknfs','asdfs0'],1:['foo','bar'],2:['foo','bar']})
print(df)

output:

      0    1    2
0  as...  foo  foo
1  as...  bar  bar