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Reshaping the arrest rate data

In this exercise, you'll start by reshaping the arrest_rate Series into a DataFrame. This is a useful step when working with any multi-indexed Series, since it enables you to access the full range of DataFrame methods.

Then, you'll create the exact same DataFrame using a pivot table. This is a great example of how pandas often gives you more than one way to reach the same result!

Latihan ini adalah bagian dari kursus

Analyzing Police Activity with pandas

Lihat Kursus

Petunjuk latihan

  • Unstack the arrest_rate Series to reshape it into a DataFrame.
  • Create the exact same DataFrame using a pivot table! Each of the three .pivot_table() parameters should be specified as one of the ri_weather columns.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Unstack the 'arrest_rate' Series into a DataFrame
print(arrest_rate.____)

# Create the same DataFrame using a pivot table
print(ri_weather.pivot_table(index='____', columns='____', values='is_arrested'))
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