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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.
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