In this article, you’ll learn how to delete the first row in Pandas. Three methods are given to delete the first row of Pandas DataFrame.
Method 1: Delete the first row using iloc
# Import the Pandas library as pd
import pandas as pd
# Create a DataFrame
df = pd.DataFrame({'col_1': [95, 90, 16, 90],
'col_2': [90, 28, 38, 48],
'col_3': [90, 64, 94, 54]})
# Display the DataFrame
print(df)
# Delete first row of a DataFrame
df = df.iloc[1:]
# Display the Modified DataFrame
print(df)Output:
col_1 col_2 col_3 0 65 80 40 1 60 28 64 2 16 38 94 3 60 48 54 col_1 col_2 col_3 1 60 28 64 2 16 38 94 3 60 48 54
Method 2
# Import the Pandas library as pd
import pandas as pd
# Create a DataFrame
df = pd.DataFrame({'col_1': [95, 90, 16, 90],
'col_2': [90, 28, 38, 48],
'col_3': [90, 64, 94, 54]})
# Display the DataFrame
print(df)
# Delete first row of a DataFrame
df.drop(df.index[0], inplace=True)
# Display the Modified DataFrame
print(df)Output:
col_1 col_2 col_3 0 95 90 90 1 90 28 64 2 16 38 94 3 90 48 54 col_1 col_2 col_3 1 90 28 64 2 16 38 94 3 90 48 54
Method 3
# Import the Pandas library as pd
import pandas as pd
# Create a DataFrame
df = pd.DataFrame({'col_1': [95, 90, 16, 90],
'col_2': [90, 28, 38, 48],
'col_3': [90, 64, 94, 54]})
# Display the DataFrame
print(df)
# Delete first row of a DataFrame
df = df.tail(df.shape[0]- 1)
# Display the Modified DataFrame
print(df)Output:
col_1 col_2 col_3 0 95 90 90 1 90 28 64 2 16 38 94 3 90 48 54 col_1 col_2 col_3 1 90 28 64 2 16 38 94 3 90 48 54
If you want to learn Pandas, I recommend this book and free resource.
