## How to filter in a Pandas DataFrame
def Kickstarter_Example_87():
print()
print(format('How to filter a Pandas DataFrame','*^82'))
import warnings
warnings.filterwarnings("ignore")
# load libraries
import pandas as pd
# Create Dataframe
data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
'year': [2012, 2012, 2013, 2014, 2014],
'reports': [4, 24, 31, 2, 3],
'coverage': [25, 94, 57, 62, 70]}
df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])
print(); print(df)
# View Column
print(); print(df['name'])
# View Two Columns
print(); print(df[['name', 'reports']])
# View First Two Rows
print(); print(df[:2])
# View Rows Where Coverage Is Greater Than 50
print(); print(df[df['coverage'] > 50])
# View Rows Where Coverage Is Greater Than 50 And Reports Less Than 4
print(); print(df[(df['coverage'] > 50) & (df['reports'] < 4)])
Kickstarter_Example_87()