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  3. Introduction to NumPy

Exercise

A range array

np.arange() has especially useful applications in graphing. Your task is to create a scatter plot with the values from doubling_array on the y-axis. 

doubling_array = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512]

Recall that a scatter plot can be created using the following code:

plt.scatter(x_values, y_values)
plt.show()

With doubling_array on the y-axis, you now need values for the x-axis, which you can create with np.arange()!

numpy is loaded for you as np, and matplotlib.pyplot is imported as plt.

Instructions

100 XP
  • Using np.arange(), create a 1D array called one_to_ten which holds all integers from one to ten (inclusive).
  • Create a scatterplot with doubling_array as the y values and one_to_ten as the x values.