how to replace missing values with the values from the left, pandas dataframe in python

You can replace missing values in a pandas DataFrame with the values from the left by using the ffill() method.

Here's an example of how to do it:

main.py
import pandas as pd

# Create a sample DataFrame
data = {'A': [1, 2, None, 4, None], 'B': [None, 6, 7, None, 9]}
df = pd.DataFrame(data)

# Replace missing values with values from left
df_filled = df.ffill()

# Print the filled DataFrame
print(df_filled)
255 chars
12 lines

This will replace the missing values in each column with the previous non-null value from the left. The ffill() method stands for "forward-fill".

Output:

main.py
     A    B
0  1.0  NaN
1  2.0  6.0
2  2.0  7.0
3  4.0  7.0
4  4.0  9.0
72 chars
7 lines

In the above example, the missing values in column A and column B are replaced with the values from left.