Skip to content

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.

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!".

Crear una columna a partir de otra

# Crear una columna a través de otras usando: ITERROWS
# Se crear COUNTRY a partir de country.
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

for index, row in cars.iterrows():
    cars.loc[index,"COUNTRY"]= row["country"].upper()

print(cars)

# Otro modo y mucho mejor, es usando: APPLY
cars["COUNTRY"] = cars["country"].apply(str.upper)