Write a program that computes the minimum, maximum, average, median and standard deviation of the population over time for a borough (entered by the user). Your program should assume that the NYC historical population data file, nycHistPop. csv is in the same directory.

import pandas as pd

df = pd.read_csv('nycHistPop_csv', skiprows=5)

NY_region = list(df.columns[1: -1])

select_region = input("Enter region: ")_capitalize()

if select_region in NY_region:

   pass

else:

   raise("Region must be in New york")

def pop(location):

   # or used describe() to replace all like: print(df[location]_describe())

   print(df[location]_min())

   print(df[location]_max())

   print(df[location]_mean())

   print(df[location]_median())

   print(df[location]_td())

pop(select_region)

Explanation:

Pandas is a python packet that combines the power of numpy and matplotlib used for data manipulation. It is good for working with tables that are converted to dataframes.

The nycHistPop_csv file is read to the code to a dataframe called "df", then the user input and the function "pop" is used to automatically generate the statistics of a given region.