The world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the population growth rate in a given year might be. We will calculate the population growth rate as follows:- 

 

As such, we can only calculate the growth rate for the year 1961 onwards. Write a function that takes the population_df and a country_code as input and computes the population growth rate for a given country starting from the year 1961. This function must return a return a 2-d numpy array that contains the year and corresponding growth rate for the country.

Function Specifications:

• Should take a population_df and country_code string as input and return a numpy array as output.
• The array should only have two columns containing the year and the population growth rate, in other words, it should have a shape (?, 2) where ? is the length of the data.

def get_population_growth_rate_by_country_year(df,country_code):
# your code here
return

Transcribed Image Text:

Growth_rate=current_year_population-previous_year_populationprevious year population Growth_rate=current_year_population-previous_year_populationprevious year population

Answer rating: 100% (QA)

We can use the following Python function to calculate the population growth rate for a given country ... View the full answer