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.
Deze oefening maakt deel uit van de cursus
Introduction to NumPy
Oefeninstructies
- 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.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Create an array of integers from one to ten
one_to_ten = ____
# Create your scatterplot
____
plt.show()