Skip to main content
ubuntuask.com

Back to all posts

How to Convert A Column With List to Different Rows In Pandas?

Published on
3 min read
How to Convert A Column With List to Different Rows In Pandas? image

Best Pandas Data Manipulation Tools to Buy in October 2025

1 ARFUKA Cute Panda Bottle Opener Keychain - Portable Beer & Soda Opener Keyring, Durable Beverage Opener Tool for Men Women (Gift Idea)

ARFUKA Cute Panda Bottle Opener Keychain - Portable Beer & Soda Opener Keyring, Durable Beverage Opener Tool for Men Women (Gift Idea)

  • DURABLE STAINLESS STEEL FOR LONG-LASTING USE AND STYLE.
  • COMPACT DESIGN MAKES IT EASY TO CARRY ON YOUR KEYS.
  • PERFECT GIFT FOR ANY OCCASION: BIRTHDAYS, HOLIDAYS, AND MORE!
BUY & SAVE
$5.59
ARFUKA Cute Panda Bottle Opener Keychain - Portable Beer & Soda Opener Keyring, Durable Beverage Opener Tool for Men Women (Gift Idea)
2 Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visual

Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visual

BUY & SAVE
$19.99
Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visual
3 The College Panda's SAT Math: Advanced Guide and Workbook

The College Panda's SAT Math: Advanced Guide and Workbook

BUY & SAVE
$32.63
The College Panda's SAT Math: Advanced Guide and Workbook
4 Panda Brothers Montessori Screwdriver Board Set - Wooden Montessori Toys for 4 Year Old Kids and Toddlers, Sensory Bin, Fine Motor Skills, STEM Toys

Panda Brothers Montessori Screwdriver Board Set - Wooden Montessori Toys for 4 Year Old Kids and Toddlers, Sensory Bin, Fine Motor Skills, STEM Toys

  • ENHANCE FINE MOTOR SKILLS WITH SAFE, ENGAGING, MONTESSORI-STYLE PLAY.
  • ECO-FRIENDLY DESIGN ENSURES SAFETY WHILE SPARKING CREATIVE LEARNING.
  • IDEAL GIFT FOR TODDLERS, BLENDING FUN WITH ESSENTIAL PRACTICAL SKILLS.
BUY & SAVE
$19.95
Panda Brothers Montessori Screwdriver Board Set - Wooden Montessori Toys for 4 Year Old Kids and Toddlers, Sensory Bin, Fine Motor Skills, STEM Toys
5 Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python

Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python

BUY & SAVE
$35.74 $49.99
Save 29%
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
6 Calm Collective Peaceful Panda Breathing Trainer Light for Calming Stress, Anxiety Relief Items for ADHD, Mindfulness Meditation Tools for Depression, Great Self Care and Mental Health Gifts

Calm Collective Peaceful Panda Breathing Trainer Light for Calming Stress, Anxiety Relief Items for ADHD, Mindfulness Meditation Tools for Depression, Great Self Care and Mental Health Gifts

  • BREATHING PROMPTS: SIMPLE COLOR-CODED CUES FOR EFFECTIVE RELAXATION.
  • VERSATILE USE: IDEAL FOR HOME, WORK, OR SCHOOL-FITS ANY ROUTINE!
  • LONG BATTERY LIFE: ENJOY 2 MONTHS OF CALMING WITH JUST 10 MIN/DAY!
BUY & SAVE
$20.99
Calm Collective Peaceful Panda Breathing Trainer Light for Calming Stress, Anxiety Relief Items for ADHD, Mindfulness Meditation Tools for Depression, Great Self Care and Mental Health Gifts
7 Rose Gold Metal Ruler Hollow Brass Rulers 6 Inch Panda Metal Bookmarks Straight Edge Rulers Office Products for Students Bullet Journal Ruler Art Drafting Tools and Drafting Kits

Rose Gold Metal Ruler Hollow Brass Rulers 6 Inch Panda Metal Bookmarks Straight Edge Rulers Office Products for Students Bullet Journal Ruler Art Drafting Tools and Drafting Kits

  • STUNNING ROSE GOLD FINISH ADDS STYLE TO ANY WORKSPACE!
  • DURABLE BRASS CONSTRUCTION ENSURES LONG-LASTING USE AND BEAUTY.
  • INCLUDES CUTE PANDA BOOKMARKS FOR EXTRA VALUE AND CHARM!
BUY & SAVE
$6.99
Rose Gold Metal Ruler Hollow Brass Rulers 6 Inch Panda Metal Bookmarks Straight Edge Rulers Office Products for Students Bullet Journal Ruler Art Drafting Tools and Drafting Kits
8 Presence The Meditating Panda, Guided Visual Meditation Tool for Practicing Mindfulness, 3 in 1 Breathing Light with Night Light and Noise Machine, 4-7-8 Breathing for Relaxation and Stress Relief

Presence The Meditating Panda, Guided Visual Meditation Tool for Practicing Mindfulness, 3 in 1 Breathing Light with Night Light and Noise Machine, 4-7-8 Breathing for Relaxation and Stress Relief

  • 🌟 3-IN-1 RELAXATION TOOL: BREATHING GUIDE, NIGHT LIGHT, SLEEP SOUNDS.
  • 🌈 EASY 4-7-8 BREATHING METHOD FOR STRESS RELIEF, SUITABLE FOR ALL AGES.
  • 🎁 PERFECT GIFT FOR MINDFUL RELAXATION, SAFE FOR KIDS & ADULTS ALIKE!
BUY & SAVE
$20.99
Presence The Meditating Panda, Guided Visual Meditation Tool for Practicing Mindfulness, 3 in 1 Breathing Light with Night Light and Noise Machine, 4-7-8 Breathing for Relaxation and Stress Relief
9 DOOX Panda Mini Massager, Panda Gifts - Travel Small Massage Tool with 3 Speed for Neck, Shoulders, Back - Pain Relief & Relaxation (White)

DOOX Panda Mini Massager, Panda Gifts - Travel Small Massage Tool with 3 Speed for Neck, Shoulders, Back - Pain Relief & Relaxation (White)

  • COMPACT DESIGN: EASY TO CARRY FOR ON-THE-GO RELAXATION ANYWHERE.

  • CUSTOMIZABLE COMFORT: CHOOSE FROM 3 ADJUSTABLE SPEED MODES.

  • PERFECT GIFT: IDEAL FOR LOVED ONES ON BIRTHDAYS AND HOLIDAYS.

BUY & SAVE
$9.99
DOOX Panda Mini Massager, Panda Gifts - Travel Small Massage Tool with 3 Speed for Neck, Shoulders, Back - Pain Relief & Relaxation (White)
+
ONE MORE?

To convert a column with a list to different rows in pandas, you can use the explode function. This function will expand the list items into separate rows, while duplicating the values in the other columns.

For example, if you have a DataFrame with a column containing lists of values like this:

index | col1 | col2 0 | [1, 2] | A 1 | [3, 4] | B

You can convert the col1 column into separate rows like this:

index | col1 | col2 0 | 1 | A 0 | 2 | A 1 | 3 | B 1 | 4 | B

To achieve this, you can use the explode function like this:

df = df.explode('col1')

This will result in a new DataFrame with the list items in the col1 column expanded into separate rows.

What is the impact on memory usage when converting a column with lists to different rows in pandas?

Converting a column with lists to different rows in pandas can increase memory usage, as it is creating multiple new rows where before there was only one. This can be particularly noticeable if the lists are large or if there are a large number of rows in the dataset. Additionally, if the lists contain duplicate or repeated values, this can also increase memory usage as those values are being replicated in each new row. It is important to be mindful of memory usage when performing this type of operation, especially on large datasets, to avoid running out of memory or slowing down the process.

How to merge the resulting rows from a column with lists back into the original dataframe in pandas?

You can use the pd.merge() function in pandas to merge the resulting rows from a column with lists back into the original dataframe. Here is an example of how you can do this:

import pandas as pd

Create a sample dataframe

data = {'A': [1, 2, 3], 'B': [[4, 5], [6, 7], [8, 9]]} df = pd.DataFrame(data)

Explode the lists in column B

df_expanded = df.explode('B')

Merge the expanded dataframe back into the original dataframe based on the index

merged_df = pd.merge(df, df_expanded, left_index=True, right_index=True)

print(merged_df)

This will merge the expanded dataframe df_expanded back into the original dataframe df based on the index. The resulting dataframe merged_df will contain all the original columns from the original dataframe along with the expanded column values.

How to preserve the original order of items in the list column when creating separate rows in pandas?

You can preserve the original order of items in a list column when creating separate rows in pandas by using the explode() function.

Here is an example code snippet that demonstrates how to do this:

import pandas as pd

Create a DataFrame with a list column

df = pd.DataFrame({'col1': [['A', 'B', 'C'], ['D', 'E'], ['F']]})

Explode the list column to create separate rows

df_exploded = df.explode('col1')

print(df_exploded)

By using the explode() function, the list column col1 will be expanded into separate rows while preserving the original order of items in the list.