Last active
October 4, 2017 18:39
-
-
Save CamDavidsonPilon/9d9f968a9ef8cf83fe65d85c012c1dce to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| %pyplot | |
| x = np.arange(32) | |
| A = [5, 10, 14, 20, 24, 27] | |
| B = [3, 4, 6, 7, 8] | |
| C = [2, 12, 22] | |
| plt.scatter(A, 3*np.ones_like(A), c='k', marker='X', lw=0.5) | |
| plt.scatter(B, 2*np.ones_like(B), c='k', marker='X', lw=0.5) | |
| plt.scatter(C, 1*np.ones_like(C), c='k', marker='X', lw=0.5) | |
| plt.xlim(0, 32) | |
| plt.xticks(range(0, 32, 5), ["0", "5", "10", "15", "20", "25", "Today"]) | |
| plt.ylim(0.5, 3.5) | |
| plt.yticks(range(1, 4), ["C", "B", "A"]) | |
| plt.vlines(30, 0, 3.5, linestyle='--', lw=0.75) | |
| plt.ylabel("Customer") | |
| plt.xlabel("Time") | |
| plt.title("Customer A, B, and C's purchase history") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| %pyplot | |
| x = np.arange(80) | |
| A = [5, 35, 73] | |
| plt.scatter(A, 2*np.ones_like(A), c='k', marker='X', lw=0.5, label="purchases") | |
| plt.xlim(0, 80) | |
| plt.xticks(list(range(0, 80, 10)), ["0", "10", "20", "30", "40", "50", "60", "Today"]) | |
| plt.yticks([2], [""]) | |
| plt.ylim(1.5, 2.5) | |
| plt.vlines(70, 0, 3.5, linestyle='--', lw=0.75) | |
| plt.vlines(65, 0, 3.5, linestyle='--', lw=0.75, color='r', label="30 day time-limit") | |
| plt.legend(loc='upper left') | |
| plt.ylabel("Customer") | |
| plt.xlabel("Time") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment