labeling example in two individual plots

ImportanceOfBeingErnest · ImportanceOfBeingErnest · commit 8c92ed7749ec · 2018-04-05T15:53:51.000+02:00
diff --git a/examples/pie_and_polar_charts/pie_and_donut_labels.py b/examples/pie_and_polar_charts/pie_and_donut_labels.py
@@ -11,18 +11,7 @@
 
 ###############################################################################
 # As usual we would start by defining the imports and create a figure with
-# subplots. To have some space for the big cake, we use
-# :meth:`subplots_adjust <matplotlib.figure.Figure.subplots_adjust>` to
-# adjust the spacings.
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig, (ax, ax2) = plt.subplots(nrows=2, figsize=(6, 6))
-fig.subplots_adjust(top=0.92, bottom=0.08)
-plt.setp((ax, ax2), aspect="equal")
-
-
+# subplots.
 # Now it's time for the pie. Starting with a pie recipe, we create the data
 # and a list of labels from it.
 #
@@ -41,6 +30,10 @@
 # the left central point of the legend will be at the left central point of the
 # bounding box, spanning from ``(1,0)`` to ``(1.5,1)`` in axes coordinates.
 
+import numpy as np
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
 
 recipe = ["375 g flour",
           "75 g sugar",
@@ -68,7 +61,10 @@ def func(pct, allvals):
 
 ax.set_title("Matplotlib bakery: A pie")
 
+plt.show()
+
 
+###############################################################################
 # Now it's time for the donut. Starting with a donut recipe, we transcribe
 # the data to numbers (converting 1 egg to 50 g), and directly plot the pie.
 # The pie? Wait... it's going to be donut, is it not?
@@ -91,6 +87,9 @@ def func(pct, allvals):
 # * finally, create the annotation with all the previously
 #   determined parameters.
 
+
+fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
+
 recipe = ["225 g flour",
           "90 g sugar",
           "1 egg",
@@ -100,7 +99,7 @@ def func(pct, allvals):
 
 data = [225, 90, 50, 60, 100, 5]
 
-wedges, texts = ax2.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
+wedges, texts = ax.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
 
 bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
 kw = dict(xycoords='data', textcoords='data', arrowprops=dict(arrowstyle="-"),
@@ -113,9 +112,14 @@ def func(pct, allvals):
     horizontalalignment = ["", "left", "right"][int(np.sign(x))]
     connectionstyle = "angle,angleA=0,angleB={}".format(ang)
     kw["arrowprops"].update({"connectionstyle": connectionstyle})
-    ax2.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),
+    ax.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),
                  horizontalalignment=horizontalalignment, **kw)
 
-ax2.set_title("Matplotlib bakery: A donut")
+ax.set_title("Matplotlib bakery: A donut")
 
 plt.show()
+
+###############################################################################
+# And here it is, the donut. Note however, that if we were to use this recipe,
+# the ingredients would suffice for around 6 donuts - producing one huge
+# donut is untested and might result in kitchen errors.
