Analyzing Police Activity with pandas

import pandas as pd

ri = pd.read_csv('datasets/police.csv')

ri.head()

ri.shape

print(ri.isnull().sum())

ri.drop(['state', 'county_name'], axis=1, inplace=True)

print(ri.shape)

# Count the number of missing values in each column
print(ri.isnull().sum())

# Drop all rows that are missing 'driver_gender'
ri.dropna(subset=['driver_gender'], inplace=True)

# Count the number of missing values in each column (again)
print(ri.isnull().sum())

# Examine the shape of the DataFrame
print(ri.shape)

ri.dtypes

# Examine the head of the 'is_arrested' column
print(ri.is_arrested.head())

# Change the data type of 'is_arrested' to 'bool'
ri['is_arrested'] = ri.is_arrested.astype('bool')