<\/span><\/h2>\n\n\n\nPython provides del command to delete columns in Pandas dataframe. Here is its syntax.<\/p>\n\n\n\n
del dataframe[column_name]<\/pre>\n\n\n\nHere is an example to delete column ‘calories’ from a dataframe. Let us first create a dataframe.<\/p>\n\n\n\n
import pandas as pd
data = {
\"calories\": [420, 380, 390],
\"duration\": [50, 40, 45]
}
df = pd.DataFrame(data)
print(df) <\/pre>\n\n\n\nHere is the output.<\/p>\n\n\n\n
calories duration
0 420 50
1 380 40
2 390 45<\/pre>\n\n\n\nHere is the code to delete column ‘calories’.<\/p>\n\n\n\n
del df['calories']
print(df) <\/pre>\n\n\n\nHere is the output.<\/p>\n\n\n\n
duration
0 50
1 40
2 45<\/pre>\n\n\n\nThis is an easy to way to delete a column in Pandas dataframe. But it allows you to delete only one column at a time. If you want to delete multiple columns or collection or columns then you need to use the drop command described below.<\/p>\n\n\n\n