What does the any() method do in the pandas series?

The any() is one of the pandas.Series method, which is used to verify if there is any non-zero value present in the given series object.

The pandas.Series method “any()” will return a boolean value as an output. It will return True if any value in the given series is non-zero. otherwise, it will return False for all zero values of the given series object.

Example 1

import pandas as pd

# create a series
s = pd.Series([False, False])

print(s)

print("Output: ")
print(s.any())

Explanation

Let’s see an example, here we have created a pandas series object with all zero-values (nothing but False). And applied the any() method to the series object “s”.

Output

0 False
1 False
dtype: bool

Output:
False

In the above block, we can see a series with Boolean values, all are False, which is nothing but zero-values. We have seen the boolean value “False” as an output for any() method, which is due to there being no single non-zero value present in the given series object.

Example 2

import pandas as pd

# create a series
s = pd.Series([False, True])

print(s)

print("Output: ")
print(s.any())

Explanation

Let’s take another example by creating it with a non-zero value in it, here we have created a pandas series object with a zero value (False) and non-zero value (True). And then applied the any() method to the series object “s”.

Output

0 False
1 True
dtype: bool

Output:
True

The output of the any() method for this following example is “True” (can be seen in the above output block) which due to there is a non-zero value present in the given series object.