Created
September 24, 2019 20:40
-
-
Save ryanorsinger/6918f1f068889e285eccfceb824bda15 to your computer and use it in GitHub Desktop.
pandas series example
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Given the pets series, output the number of vowels in each pet species | |
import pandas as pd | |
pets = pd.Series([ | |
"cat", | |
"dog", | |
"lizard", | |
"rock", | |
"dragon" | |
]) | |
# Count the vowels of a given word | |
def count_vowels(word): | |
word = word.lower() | |
return word.count("a") + word.count("e") + word.count("i") + word.count("o") + word.count("u") | |
# gives us a series containing the number of vowels of each pet type. | |
vowel_counts = pets.apply(count_vowels) | |
# So we have our series of pets and we have our series containing vowel counts.... | |
# It's almost as if we need to put together two series.... | |
# How do we put them together? | |
# One way: | |
for i, pet in enumerate(pets): | |
print(pet, "has", vowel_counts[i], "vowels") | |
# Another way: | |
list(zip(pets, vowel_counts)) | |
# And a third way: | |
df = pd.DataFrame(list(zip(pets, vowel_counts))) | |
df.columns = ["pet", "vowel count"] | |
print(df) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment