Breaking News: Grepper is joining You.com. Read the official announcement!

filter rows dataframe pandas

malloc answered on April 8, 2021 Popularity 9/10 Helpfulness 7/10

answer filter rows dataframe pandas

related filter rows pandas

filter rows dataframe pandas

Comment

# 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 filter pandas python rows

Link to this answer
Share Copy Link

Contributed on Oct 16 2022

malloc

0 Answers Avg Quality 2/10

Closely Related Answers

filter rows pandas

Comment

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

Popularity 10/10 Helpfulness 6/10 Language python

Source: www.listendata.com

Tags: filter fi

Link to this answer
Share Copy Link

Contributed on Apr 08 2021

Powerful Petrel

0 Answers Avg Quality 2/10

filter rows dataframe pandas

Contents

More Related Answers

filter rows dataframe pandas

Closely Related Answers

filter rows pandas

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.