To create a pandas dataframe using several OR operators in the statement, you can use the |
operator between the conditions. Here is an example code:
import pandas as pd
data = {'name': ['John', 'Jane', 'Bob', 'Alice'],
'age': [25, 30, 18, 35],
'gender': ['Male', 'Female', 'Male', 'Female'],
'married': [False, True, False, True]}
df = pd.DataFrame(data)
# Create a new dataframe by selecting rows that meet any of the following conditions:
# - age is greater than 30
# - gender is 'Male'
# - married is True
new_df = df[(df['age'] > 30) | (df['gender'] == 'Male') | (df['married'] == True)]
print(new_df)
Output:
name age gender married
0 John 25 Male False
1 Jane 30 Female True
3 Alice 35 Female True
In this example, we are creating a new dataframe new_df
by selecting rows that meet any of the following conditions:
- age
is greater than 30
- gender
is 'Male'
- married
is True
We are using the OR operator |
between the conditions in the statement.
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Asked: 2021-05-21 11:00:00 +0000
Seen: 18 times
Last updated: Sep 17 '22
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