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Intermediate Python
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    • Intermediate Python

    Run the hidden code cell below to import the data used in this course.

    # Import the course packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Import the two datasets
gapminder = pd.read_csv("datasets/gapminder.csv")
brics = pd.read_csv("datasets/brics.csv")

    Take Notes

    Add notes about the concepts you've learned and code cells with code you want to keep.

    means i have to create two arrays one with african country

    histogram is used when there is one column we can used histogram for comparing the flactuation ir distribution in data sets

    Add your notes here

    Current Type: Bar
    Current X-axis: None
    Current Y-axis: None
    Current Color: None
    # Add your code snippets here
for row,col in brics.iterrows():
    print(f"The population of {col['country']} is {col['population']} million")
african_cont =gapminder[gapminder['cont'] == 'Africa']
life_exp = np.array(round(african_cont["life_exp"],2))
country = np.array(african_cont['country'])
# print(max(life_exp))
plt.hist(life_exp, bins = 6, range = [0,80], density=True,orientation="vertical")
plt.title("African Life Expentancies")
plt.ylabel('country')
plt.xlabel('life Expectancies')
plt.show()

    Explore Datasets

    Use the DataFrames imported in the first cell to explore the data and practice your skills!

    • Create a loop that iterates through the brics DataFrame and prints "The population of {country} is {population} million!".
    • Create a histogram of the life expectancies for countries in Africa in the gapminder DataFrame. Make sure your plot has a title, axis labels, and has an appropriate number of bins.
    • Simulate 10 rolls of two six-sided dice. If the two dice add up to 7 or 11, print "A win!". If the two dice add up to 2, 3, or 12, print "A loss!". If the two dice add up to any other number, print "Roll again!".
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