addressing comments

choldgraf · choldgraf · commit 03477645d0d5 · 2017-05-08T22:50:32.000-07:00
diff --git a/examples/lines_bars_and_markers/categorical_variables.py b/examples/lines_bars_and_markers/categorical_variables.py
@@ -13,13 +13,27 @@
 """
 import matplotlib.pyplot as plt
 
-names = ['group_a', 'group_b', 'group_c']
-values = [1, 10, 100]
+data = {'apples': 10, 'oranges': 15, 'lemons': 5, 'limes': 20}
+names = list(data.keys())
+values = list(data.values())
 
-fig, axs = plt.subplots(1, 3, figsize=(9, 3))
+fig, axs = plt.subplots(1, 3, figsize=(9, 3), sharey=True)
 axs[0].bar(names, values)
 axs[1].scatter(names, values)
 axs[2].plot(names, values)
 fig.suptitle('Categorical Plotting')
 
+
+###############################################################################
+# This works on both axes:
+
+cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
+dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
+activity = ["combing", "drinking", "feeding", "napping", "playing", "washing"]
+
+fig, ax = plt.subplots()
+ax.plot(activity, dog, label="dog")
+ax.plot(activity, cat, label="cat")
+ax.legend()
+
 plt.show()
diff --git a/tutorials/01_introductory/sample_plots.py b/tutorials/01_introductory/sample_plots.py
@@ -386,6 +386,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
+np.random.seed(19680801)
 data = np.random.randn(2, 100)
 
 fig, axs = plt.subplots(2, 2, figsize=(5, 5))
