Delete a column from a Pandas DataFrame

You can delete a column from a Pandas DataFrame using the drop function. This function returns a new DataFrame with the specified column(s) removed. It takes two main arguments: labels and axis.

labels: a single label or a list of labels to remove.

axis: specifies whether you are referring to rows or columns. axis=0 refers to rows, and axis=1 refers to columns.

Here's an example of how to use drop to delete a column from a DataFrame:

import pandas as pd

# Create a sample DataFrame
df = pd.DataFrame({'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]})

# Print the DataFrame
print(df)

#   col1  col2  col3
# 0     1     4     7
# 1     2     5     8
# 2     3     6     9

# Delete the 'col2' column
df = df.drop('col2', axis=1)

# Print the DataFrame
print(df)

#   col1  col3
# 0     1     7
# 1     2     8
# 2     3     9

Note that this operation returns a new DataFrame with the column removed. If you want to modify the original DataFrame in place, you can use the inplace parameter. For example:

df.drop('col1', axis=1, inplace=True)

This will delete the 'col1' column from the df DataFrame and modify df in place.