python

# filter an array
# version 1
areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]
valid = lambda x: type(x) == float
sum = sum( filter (valid, areas) )

# version 2
out = [a  for a in areas if type(a) != str]


# pandas from lists
import pandas as pd
list_keys = ['Country', 'Total']
list_values = [['US', 'Mexico', 'Canada'], [1000, 500, 400]]
zipped = list(zip(list_keys, list_values))
data = dict(zipped)
df = pd.(data)
print(df.head())