skip second row of dataframe while reading csv file in python

Question

I am unable to skip the second row of a data file while reading a csv file in python.

I am using the following code :

imdb_data = pd.read_csv('IMDB_data.csv', encoding = "ISO-8859-1",skiprows = 2) 

Answer 1

Your code will ommit the first two lines of your csv. If you want the second line to be ommitted (but the first one included) just do this minor change:

imdb_data = pd.read_csv('IMDB_data.csv', encoding = "ISO-8859-1",skiprows = [1]) 

Answer 2

Looking at the documentation we can learn that if you supply an integer n for skiprows , the first n rows are skipped. If you want to skip single lines explicitly by line number (0 indexed), you must supply a list-like argument.

In your specific case, that would be skiprows=[1] .

Answer 3

The question has already answered. If one wants to skip number of rows at once, one can do the following:

df = pd.read_csv("transaction_activity.csv", skiprows=list(np.arange(1, 13)))

It will skip rows from second up to 12 by keeping your original columns in the dataframe, as it is counted '0'.

Hope it helps for similar problem.