How to drop a DataFrame column with Pandas using Python
• 1 minYou might end up needing to remove some columns.
This often happens when you want to save/share your DataFrame.
Here is the code
The first method using pandas DataFrame.drop() method
# To work with dataframes
import pandas as pd
# We create a sample dataframe
df = pd.DataFrame({"col1" : range(10),
"col2" : range(10)})
# first method to drop a column
df = df.drop(columns=["col2"])
# We print our dataframe
print(df)The second method using a subset
# To work with dataframes
import pandas as pd
# We create a sample dataframe
df = pd.DataFrame({"col1" : range(10),
"col2" : range(10)})
# second method to drop a column
df = df[["col1"]]
# We print our dataframe
print(df)Here you are! You know now how to drop a DataFrame column with Pandas using Python.
More on DataFrames
If you want to know more about DataFrame and Pandas. Check out the other articles I wrote on the topic, just here :
Pandas - The Python You Need
We gathered the only Python essentials that you will probably ever need.
