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How to access a group of rows in a Pandas DataFrame?
To access a group of rows in a Pandas DataFrame, we can use the loc() method. For example, if we use df.loc[2:5], then it will select all the rows from 2 to 5.
Steps
- Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
- Print the input DataFrame, df.
- Use df.loc[2:5] to select the rows from 2 to 5.
- Print the DataFrame.
Example
import pandas as pd df = pd.DataFrame( { "x": [5, 2, 7, 0, 7, 0, 5, 2], "y": [4, 7, 5, 1, 5, 1, 4, 7], "z": [9, 3, 5, 1, 5, 1, 9, 3] } ) print "Input DataFrame is:\n", df df = df.loc[2:5] print "New DataFrame:\n", df
Output
Input DataFrame is: x y z 0 5 4 9 1 2 7 3 2 7 5 5 3 0 1 1 4 7 5 5 5 0 1 1 6 5 4 9 7 2 7 3 New DataFrame: x y z 2 7 5 5 3 0 1 1 4 7 5 5 5 0 1 1
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