How to Access Rows by Numeric Index in Pandas (Python)

How to Access Rows by Numeric Index in Pandas (Python)

This video shows how to access the rows of a pandas data frame using the numeric index of the row using iloc. Using numeric indexes to get rows can be more natural than using the row index names because base Python data structures like lists don't have index names.

This video shows how to access the rows of a pandas data frame using the numeric index of the row using iloc. Using numeric indexes to get rows can be more natural than using the row index names because base Python data structures like lists don't have index names.

Code used in this Python Code Clip:

import pandas as pd

import statsmodels.api as sm #(To access mtcars dataset) mtcars = sm.datasets.get_rdataset("mtcars", "datasets", cache=True).data mtcars.head()

Access a row by numerical index with .iloc mtcars.iloc[2]

Access multiple rows by numerical index mtcars.iloc[[2,4,5]]

Access multiple rows and specific columns (by numeric index) mtcars.iloc[[2,4,5], [0, 1, 3]]

Access multiple rows and specific columns (by col name) mtcars.iloc[[2,4,5]][["mpg", "cyl"]]

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