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if else pandas dataframe

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dhupee answered on May 20, 2020 Popularity 9/10 Helpfulness 3/10

answer if else pandas dataframe

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if else pandas dataframe

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import pandas as pd

numbers = {'set_of_numbers': [1,2,3,4,5,6,7,8,9,10]}
df = pd.DataFrame(numbers,columns=['set_of_numbers'])

df.loc[df['set_of_numbers'] <= 4, 'equal_or_lower_than_4?'] = 'True' 
df.loc[df['set_of_numbers'] > 4, 'equal_or_lower_than_4?'] = 'False' 

print (df)

Popularity 9/10 Helpfulness 3/10 Language python

Source: datatofish.com

Tags: dataframe pandas python

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Contributed on Jan 08 2022

dhupee

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if condition dataframe python

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df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']

Popularity 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: dataframe data

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Contributed on May 20 2020

Glorious Goldfinch

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python pandas if statement

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df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'

Popularity 8/10 Helpfulness 2/10 Language python

Source: datatofish.com

Tags: python

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Contributed on Nov 08 2022

Poor Peacock

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writing an if statement in pandas

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import pandas as pd

# Create a sample DataFrame
data = {
    'Name': ['Alice', 'Bob', 'Charlie'],
    'Age': [25, 32, 10],
    'Country': ['USA', 'Canada', 'UK']
}
df = pd.DataFrame(data)

# Set a condition using boolean indexing
df.loc[df['Age'] >= 18, 'Status'] = 'Adult'
df.loc[df['Age'] < 18, 'Status'] = 'Child'
print(df)

Popularity 6/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: if-statement pandas python pytho

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Contributed on Jun 22 2023

Abdul Conteh

0 Answers Avg Quality 2/10

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