using pandas.read_csv to read certain columns
Question:
I have a .csv file with three columns and many rows. I am trying to use pandas to read only the third column.
right now I have:
import pandas as pd
pd.read_csv(r"C:test.csv",usecols=(3))
Answers:
column indexing is zero based, pass 2 to read the third column:
pd.read_csv(r"C:test.csv",usecols=[2])
Adding on to @EdChum answer, you can also simply use range
pd.read_csv(r"C:test.csv",usecols=range(5))
to read the first 5 columns. If you columns aren’t numeric you can always use header=None to have pandas ignore the columns
I have a .csv file with three columns and many rows. I am trying to use pandas to read only the third column.
right now I have:
import pandas as pd
pd.read_csv(r"C:test.csv",usecols=(3))
column indexing is zero based, pass 2 to read the third column:
pd.read_csv(r"C:test.csv",usecols=[2])
Adding on to @EdChum answer, you can also simply use range
pd.read_csv(r"C:test.csv",usecols=range(5))
to read the first 5 columns. If you columns aren’t numeric you can always use header=None to have pandas ignore the columns