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Checking if a value exists in a DataFrame in Pandas
schedule Aug 12, 2023
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Tags Python●Pandas
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Checking if a value exists in a DataFrame
Consider the following DataFrame:
import pandas as pd
A B0 1 41 2 52 3 6
To check if a value exists in the DataFrame, use the built-in in operator against the DataFrame's values property:
Here:
the
valuesproperty returns a NumPy array holding all the values in the DataFrame.we are checking if the value
2,5,10exists in the DataFrame.
Checking if a value exists in a certain column in the DataFrame
Consider the following DataFrame:
df
C D0 7 101 8 112 9 12
Solution
To check if a DataFrame column contains some values in Pandas:
Here, we’re checking if column C contains either the value 8 or 11.
Explanation
We first fetch column C as a Series using df["C"], and then we use isin(~) to obtain a boolean mask where True represents the presence of a value in the given list:
0 False1 True2 FalseName: C, dtype: bool
Here, we get True for row 1 since it holds the value 8.
Finally, we use the Series’ any() method that returns True if there is at least one True in the Series:
Published by Isshin Inada
Edited by 0 others
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