Intermediate Python

Intermediate Python

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

Take Notes

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

plt.plot = line chart and plt.scatter = scatter plot. follow each with plt.show()

need to bring in subpackage like: import matplotlib.pyplot as plt

histograms = bins x and ylabel functions title function does just what you think yticks - decide where the vertical tick marks are (list of ticks, list of display names for the ticks)

c and alpha arguments within plt.scatter function identify colors and opacity

• the function np.nditer iterates over all elements in a numpy array
• use the method items to iterate over elements of a dictionary
• itterrows method is used to iterate over rows in pandas data frame

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!".