You can use the following basic syntax to select rows in a pandas DataFrame based on values in a boolean series:

#define boolean series
bools = pd.Series([True, False, True, True, False, False, False, True])

#select rows in DataFrame based on values in boolean series
df[bools.values]

This allows you to select each of the rows in the pandas DataFrame where the corresponding value in the boolean series is True.

The following example shows how to use this syntax in practice.

Example: Select Rows from Pandas DataFrame Using Boolean Series

Suppose we have the following pandas DataFrame that contains information about various basketball players:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'team': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],
                   'points': [18, 22, 19, 14, 14, 11, 20, 28],
                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],
                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})

#view DataFrame
print(df)

  team  points  assists  rebounds
0    A      18        5        11
1    B      22        7         8
2    C      19        7        10
3    D      14        9         6
4    E      14       12         6
5    F      11        9         5
6    G      20        9         9
7    H      28        4        12

We can use the following syntax to select all rows in the DataFrame where the corresponding value in a boolean series is True:

#define boolean series
bools = pd.Series([True, False, True, True, False, False, False, True])

#select rows in DataFrame based on values in boolean series
df[bools.values]

     team   points  assists  rebounds
0	A	18	  5	   11
2	C	19	  7	   10
3	D	14	  9	    6
7	H	28	  4        12

Notice that the only rows returned are the ones where the corresponding value in the boolean series is True.

Also note that you can use the following syntax to only select the rows in the “points” column of the DataFrame where the corresponding value in the boolean series is True.

#define boolean series
bools = pd.Series([True, False, True, True, False, False, False, True])

#select rows in points column based on values in boolean series
df['points'][bools.values]

0    18
2    19
3    14
7    28
Name: points, dtype: int64

Notice that the only rows returned from the “points” column are the ones where the corresponding value in the boolean series is True.

The following tutorials explain how to perform other common tasks in pandas: