How to Access Rows by Numeric Index in Pandas (Python)
↓ Code Available Below! ↓
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.
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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"]]
Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large ＜ and ＞ symbols in place of the standard sized ones. .
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