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.
Questo esercizio fa parte del corso
Introduction to NumPy
Istruzioni dell'esercizio
- Using
np.arange(), create a 1D array calledone_to_tenwhich holds all integers from one to ten (inclusive). - Create a scatterplot with
doubling_arrayas the y values andone_to_tenas the x values.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Create an array of integers from one to ten
one_to_ten = ____
# Create your scatterplot
____
plt.show()