Loops.py

# Initialize offset
offset = 8

# Code the while loop
while offset > 0 :
    print('correcting...')
    offset = offset - 1
    print(offset)

# Initialize offset
offset = -6

# Code the while loop
while offset != 0 :
    print("correcting...")
    if offset > 0 :
      offset = offset - 1
    else : 
       offset = offset + 1   
    print(offset)

# areas list
areas = [11.25, 18.0, 20.0, 10.75, 9.50]

# Code the for loop
for x in areas:
    print(x)

# areas list
areas = [11.25, 18.0, 20.0, 10.75, 9.50]

# Change for loop to use enumerate() and update print()
for index,a in enumerate(areas) :
    print("room " + str(index) + ": " + str(a))

# areas list
areas = [11.25, 18.0, 20.0, 10.75, 9.50]

# Code the for loop
for index, area in enumerate(areas) :
    print("room " + str(index+1) + ": " + str(area))

# Definition of dictionary
europe = {'spain':'madrid', 'france':'paris', 'germany':'berlin',
          'norway':'oslo', 'italy':'rome', 'poland':'warsaw', 'austria':'vienna' }
          
# Iterate over europe
for key,value in europe.items():
    print("the capital of " + key + " is " + value)

# Import numpy as np
import numpy as np

# For loop over np_height
for x in np_height:
    print(str(x) + " inches" )

# For loop over np_baseball
for x in np.nditer(np_baseball):
    print(x)

# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

# Iterate over rows of cars
for lab,row in cars.iterrows():
    print(lab)
    print(row)



# Adapt for loop
for lab, row in cars.iterrows() :
    print(lab + ": " + str(row['cars_per_cap']) )


# Code for loop that adds COUNTRY column
for lab, row in cars.iterrows():
    cars.loc[lab, "COUNTRY"] = row["country"].upper()


# Print cars
print(cars)

# Use .apply(str.upper)
cars["COUNTRY"] = cars["country"].apply(str.upper)
print(cars)