Keep % format of float values

Question

How do you keep your float in the % format?

df[\'growth_rate\'] = df[\'growth_rate\'].replace(\'%\', \'\', regex=True).astype(float, errors=\'ignore         


        

Answer 1

You can take your column and send it through to_string:

output = df.to_string(formatters={'growth_rate': '{:,.2%}'.format})
print(output)

 growth_rate
0      23.45%
1      14.73%
2        nan%
3      25.00%

This doesn't change your data frame (which is still in float):

In [ 7]: df
Out[ 7]: 
   growth_rate
0       0.2345
1       0.1473
2          NaN
3       0.2500

but generates a string representation of the growth_rate column you can print.

To output all the columns, pass a list of formatters as long as the number of columns:

df['growth_rate2'] = [0.1,0.04,0.876,np.nan]
output = df.to_string(formatters=['{:,.2%}'.format]*2)

To output only particular columns in your special format, use a dictionary with the column names as the keys:

df['growth_rate3'] = [0.071,0.02,0.,0.66]
df.to_string(formatters={'growth_rate': '{:,.2%}'.format,
                         'growth_rate3': '{:,.2%}'.format})