You have some data in a python list and you want to create a pandas series from it. For example you have some restaurant ratings in a list and want to convert it to a pandas series like this.
Create the List –
First let’s create the list.
quality_ratings = ['Good', 'Very Good', 'Good', 'Excellent', 'Very Good'] quality_ratings
Create a Pandas Series from a list –
Now, to create the pandas series from this list, we have to pass this list to pd.Series constructor.
# create pandas series from a list ratings = pd.Series(quality_ratings) ratings
Add an index and name to the Pandas Series –
Now, Let’s say that you also want to add an index for these ratings like which rating is belong to which restaurant and also want to add a name to this series.
To add an index when creating a series, we use the index parameter and to add a name we use the name parameter of pd.Series.
ratings = pd.Series(quality_ratings, index=['A','B','C','D','E'], name='restaurant_ratings') ratings
Create a Pandas Series from List of Lists –
You have a data in a list of lists format and want to convert it into a pandas series.
# list of lists quality_ratings = [['Good'], ['Very Good'], ['Good'], ['Excellent'], ['Very Good']] # convert to a pandas series ratings = pd.Series(lst for lst in quality_ratings) ratings
Here, we are iterating through each of the list from outer list and selecting the value at index 0 using a list comprehension to create the series.
Related Posts –
- Create Pandas DataFrame from Lists.
- Create Pandas DataFrame from dictionary.
- Convert a Pandas DataFrame to a Dictionary.