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filter rows pandas

Powerful Petrel answered on April 8, 2021 Popularity 10/10 Helpfulness 6/10

answer filter rows pandas

related filter rows dataframe pandas

filter rows pandas

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newdf = df[(df.origin == "JFK") & (df.carrier == "B6")]

Popularity 10/10 Helpfulness 6/10 Language python

Source: www.listendata.com

Tags: filter pandas python rows

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Contributed on Apr 08 2021

Powerful Petrel

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filter rows dataframe pandas

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# filter Rows Based on condition
df[df["Courses"] == 'Spark'] 
df.loc[df['Courses'] == value]
df.query("Courses == 'Spark'")
df.loc[df['Courses'] != 'Spark']
df.loc[df['Courses'].isin(values)]
df.loc[~df['Courses'].isin(values)]

# filter Multiple Conditions using Multiple Columns
df.loc[(df['Discount'] >= 1000) & (df['Discount'] <= 2000)]
df.loc[(df['Discount'] >= 1200) & (df['Fee'] >= 23000 )]

# Using lambda function
df.apply(lambda row: row[df['Courses'].isin(['Spark','PySpark'])])

# filter columns that have no None & nana values
df.dropna()

# Other examples
df[df['Courses'].str.contains("Spark")]
df[df['Courses'].str.lower().str.contains("spark")]
df[df['Courses'].str.startswith("P")]

Popularity 9/10 Helpfulness 7/10 Language python

Source: sparkbyexamples.com

Tags: dataframe data

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Contributed on Oct 16 2022

malloc

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filter rows pandas

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