## How to rank a Pandas DataFrame
def Kickstarter_Example_100():
print()
print(format('How to rank 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)
# Create a new column that is the rank of the value of coverage in ascending order
df['coverageRanked'] = df['coverage'].rank(ascending=True)
print(); print(df)
# Create a new column that is the rank of the value of coverage in descending order
df['coverageRanked'] = df['coverage'].rank(ascending=False)
print(); print(df)
Kickstarter_Example_100()