To divide text after a symbol into rows in pandas, you can use the str.split() function along with the expand=True parameter to create a new DataFrame with the split values in separate rows. For example, if you have a column 'text' in your DataFrame and you want to split the text after a comma ',', you can use the following code:

df['text_split'] = df['text'].str.split(',', expand=True)

This will create a new DataFrame column 'text_split' with the text split after the comma in separate rows. You can then further process or analyze the split text as needed.

How to split text into rows in pandas after a specific symbol?

To split text into rows in pandas after a specific symbol, you can use the str.split() method along with the expand=True parameter. Here is an example:

import pandas as pd

create a sample dataframe with a column containing text

df = pd.DataFrame({'text': ['apple:orange:banana', 'grape:kiwi', 'pear:melon:cherry']})

split the text into rows after the colon symbol

df = df['text'].str.split(':', expand=True).stack().reset_index(level=1, drop=True).rename('value').reset_index()

display the resulting dataframe

print(df)

In this example, we first create a sample dataframe with a column containing text. We then use the str.split() method to split the text into rows after the colon symbol. The stack() method is used to stack the resulting Series and reset_index() is used to reset the index of the dataframe. Finally, we display the resulting dataframe where each row contains a single value extracted from the original text after splitting it at the colon symbol.

What is the pandas function for splitting text into rows after a certain character?

The pandas function for splitting text into rows after a certain character is str.split. Here is an example of how to use this function:

import pandas as pd

data = {'text': ['apple,orange,banana', 'carrot,lettuce,tomato']} df = pd.DataFrame(data)

Split the text column into rows after the comma character

df['text_split'] = df['text'].str.split(',')

print(df)

This will output:

              text                     text\_split

0 apple,orange,banana [apple, orange, banana] 1 carrot,lettuce,tomato [carrot, lettuce, tomato]

How to split text into rows after a symbol occurrence in a pandas dataframe?

You can split text into rows after a symbol occurrence in a pandas dataframe by using the str.split method in combination with the explode method.

Here is an example code to split text into rows after a symbol occurrence:

import pandas as pd

create a sample dataframe

data = {'text': ['apple,banana,orange', 'grape,kiwi,melon']} df = pd.DataFrame(data)

split text into rows after comma occurrence

df['text'] = df['text'].str.split(',') df = df.explode('text')

print(df)

Output:

 text

0 apple 0 banana 0 orange 1 grape 1 kiwi 1 melon

In this code, we first split the text in the 'text' column by comma using the str.split method. Then, we use the explode method to split the list of values into separate rows. This will create a new row for each value separated by a comma in the original text.