Remove First Row when Importing pandas DataFrame from CSV File in Python (Example Code)

import pandas as pd                           # Import pandas library in Python

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 = 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

my_df.to_csv('my_df.csv') # Write exemplifying DataFrame to folder

my_df_new = pd.read_csv('my_df.csv',          # Import pandas DataFrame from CSV
                        skiprows = [1])
print(my_df_new)
#    Unnamed: 0    A  B  C   D
# 0           1  101  3  f  34
# 1           2  102  7  c  33
# 2           3  103  1  f  32
# 3           4  104  2  f  31

my_df_new = pd.read_csv('my_df.csv', # Import pandas DataFrame from CSV skiprows = [1]) print(my_df_new) # Unnamed: 0 A B C D # 0 1 101 3 f 34 # 1 2 102 7 c 33 # 2 3 103 1 f 32 # 3 4 104 2 f 31