Continuing from our earlier posts on the Python Pandas library, let’s look at a few more helpful functions for managing data frames. fillna(): fills missing values in a DataFrame with a specified value. import pandas as pd
data = {'A': [1, 2, None, 4],
'B': [5, None, 7, 8]}
df = pd.DataFrame(data)
# Fill…
