To use the str.split()
method in Pandas, you can use the str
attribute of a Pandas series, followed by the split()
method.
This method allows you to split each string in the series into a list of substrings, based on a specified separator.
Here's an example of using the str.split()
method in Pandas:
import pandas as pd
# create a sample series
s = pd.Series(["apple, banana, orange, pear"])
# split each string in the series into a list of substrings
# using the comma character as the separator
s_split = s.str.split(",")
# display the result
print(s_split)
This will split each string in the series into a list of substrings, using the comma character as the separator. The resulting list of substrings will be displayed to the console.
The output will be:
0 [apple, banana, orange, pear]
dtype: object
The str.split()
method is a convenient way to split a string into a list of substrings.
It allows you to easily split each string in a Pandas series into a list of substrings, using a specified separator.
This can be useful for working with the data in the substrings.
Related tutorials curated for you
How to print a specific row in a Pandas DataFrame?
How to round in Pandas
How to convert a Pandas Index to a List
How to create a bar chart in Pandas
What is categorical data in Pandas?
What is insert() in Pandas?
What does factorize() do in Pandas?
How to reorder columns in Pandas
What is Pandas Cumsum()?
How to create a freqeuncy table in Pandas
How to shuffle data in Pandas
How to reset index in a Pandas DataFrame