LoslegenKostenlos loslegen

Using .groupby() after reordering

It is now time to run some analyses on the adoptable dogs dataset that is focused on the "size" of the dog. You have already developed some code to reorder the categories. In this exercise, you will develop two similar .groupby() statements to help better understand the effect of "size" on other variables. dogs has been preloaded for you.

Diese Übung ist Teil des Kurses

Working with Categorical Data in Python

Kurs anzeigen

Anleitung zur Übung

  • Print out the frequency table of "sex" for each category of the "size" column.
  • Print out the frequency table of "keep_in" for each category of the "size" column.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Previous code
dogs["size"].cat.reorder_categories(
  new_categories=["small", "medium", "large"],
  ordered=True,
  inplace=True
)

# How many Male/Female dogs are available of each size?
print(dogs.____(____)[____].value_counts())

# Do larger dogs need more room to roam?
print(dogs.____(____)[____].value_counts())
Code bearbeiten und ausführen