Delete Certain Rows but Keep Header when Loading CSV File in Python (Example Code)

In this tutorial, I’ll demonstrate how to remove certain rows when importing a CSV file in Python.

Setting up the Example

import pandas as pd                           # Import pandas library in Python
my_df = pd.DataFrame({'A':range(100, 105),    # Construct new pandas DataFrame
                      'B':[9, 3, 7, 1, 2],
                      'C':['a', 'f', 'c', 'f', 'f'],
                      'D':range(35, 30, - 1)})
print(my_df)
#      A  B  C   D
# 0  100  9  a  35
# 1  101  3  f  34
# 2  102  7  c  33
# 3  103  1  f  32
# 4  104  2  f  31
my_df.to_csv('my_df.csv')                     # Write exemplifying DataFrame to folder

Example: Ignore Particular Rows when Reading a CSV File

my_df_new = pd.read_csv('my_df.csv',          # Import pandas DataFrame from CSV
                        skiprows = [1, 2, 4])
print(my_df_new)
#    Unnamed: 0    A  B  C   D
# 0           2  102  7  c  33
# 1           4  104  2  f  31

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