How to create an empty DataFrame and fill with zeros?

 You can create an empty DataFrame in Pandas with specific columns and fill it with zeros using the pd.DataFrame() constructor and specifying the columns and index.

Here's an example code snippet that creates an empty DataFrame with 3 columns and 5 rows, and fills it with zeros:

import pandas as pd

# Create an empty DataFrame with 3 columns and 5 rows, filled with zeros
df = pd.DataFrame(0, index=range(5), columns=['A', 'B', 'C'])

print(df)

In the above example, we use the pd.DataFrame() constructor to create an empty DataFrame with 3 columns 'A', 'B', and 'C', and 5 rows. We pass the value 0 to the constructor, which fills the DataFrame with zeros. We also specify the index parameter as a range of 5 values, which creates the row index for the DataFrame.

The output of the print(df) statement will be:

   A  B  C
0  0  0  0
1  0  0  0
2  0  0  0
3  0  0  0
4  0  0  0

As you can see, the DataFrame is empty with all values set to zero.