pandas read in csv column as float and set empty cells to 0

Question

Is it possible to read in a CSV as a pandas DataFrame and set spaces (or empty cells) to 0 in one line? Below is an illustration of the problem.

Input:

Answer 1

Almost in one line, and might not work in a real case.

You can set missing values to be mapped to NaN in read_csv

import pandas as pd
df = pd.read_csv('data.csv', na_values=" ")

yielding

     a  b    c
0  NaN  a  0.0
1  0.0  b  1.0
2  1.5  c  2.5
3  2.1  d  3.0

Then, you can run a fillna to change the NaN's to .0.

Hence, the following line does it all:

df = pd.read_csv('data.csv', na_values=" ").fillna(0)

gives

     a  b    c
0  0.0  a  0.0
1  0.0  b  1.0
2  1.5  c  2.5
3  2.1  d  3.0