Turning this all into a DataFrame
You've zipped lists together, created a function to house your code, and even used the function in a list comprehension to generate a list of dictionaries. That was a lot of work and you did a great job!
You will now use all of these to convert the list of dictionaries into a pandas DataFrame. You will see how convenient it is to generate a DataFrame from dictionaries with the DataFrame() function from the pandas package.
The lists2dict() function, feature_names list, and row_lists list have been preloaded for this exercise.
Go for it!
Bu egzersiz
Python Toolbox
kursunun bir parçasıdırEgzersiz talimatları
- To use the
DataFrame()function you need, first import the pandas package with the aliaspd. - Create a DataFrame from the list of dictionaries in
list_of_dictsby callingpd.DataFrame(). Assign the resulting DataFrame todf. - Inspect the contents of
dfprinting the head of the DataFrame. Head of the DataFramedfcan be accessed by callingdf.head().
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Import the pandas package
# Turn list of lists into list of dicts: list_of_dicts
list_of_dicts = [lists2dict(feature_names, sublist) for sublist in row_lists]
# Turn list of dicts into a DataFrame: df
df = ____
# Print the head of the DataFrame