Pandas DataFrame isin() Method
Example
Check which cells in the DataFrame that contains either the value 50 or the value 40:
import pandas as pd
data = {
"name": ["Sally", "Mary",
"John"],
"age": [50, 40, 30]
}
df = pd.DataFrame(data)
print(df.isin([50, 40]))
Try it Yourself »
Definition and Usage
The isin() method checks if the Dataframe
contains the specified value(s).
It returns a DataFrame similar to the original DataFrame, but the original
values have been replaced with True if the
value was one of the specified values, otherwise False.
Syntax
dataframe.isin(values)
Parameters
| Parameter | Description |
|---|---|
| values | Required. The values to check if is in the DataFrame.
It can be a list:
df.isin([50, 30])
It can be a Dictionary:
df.isin({'age': [50, 30]})
It can be a Series:
values = pd.Series({"age": 50, "age": 40})
It can be a DataFrame:
values = pd.DataFrame({'age': [50], 'name': ['Sally']})
|
Return Value
A DataFrame with the selected result, or a Series if the result only contains one row.
