Matplotlib demos! Single, animated, multiple

Demo_Matplotlib.py

@@ -41,18 +41,66 @@ def draw_figure(canvas, figure, loc=(0, 0)):
     return photo
 
 #------------------------------- PASTE YOUR MATPLOTLIB CODE HERE -------------------------------
+
 import numpy as np
-import matplotlib
 import matplotlib.pyplot as plt
 
+from matplotlib.ticker import NullFormatter  # useful for `logit` scale
+
 # Fixing random state for reproducibility
 np.random.seed(19680801)
 
+# make up some data in the interval ]0, 1[
+y = np.random.normal(loc=0.5, scale=0.4, size=1000)
+y = y[(y > 0) & (y < 1)]
+y.sort()
+x = np.arange(len(y))
 
-matplotlib.rcParams['axes.unicode_minus'] = False
-fig, ax = plt.subplots()
-ax.plot(10*np.random.randn(100), 10*np.random.randn(100), 'o')
-ax.set_title('Using hyphen instead of Unicode minus')
+# plot with various axes scales
+plt.figure(1)
+
+# linear
+plt.subplot(221)
+plt.plot(x, y)
+plt.yscale('linear')
+plt.title('linear')
+plt.grid(True)
+
+
+# log
+plt.subplot(222)
+plt.plot(x, y)
+plt.yscale('log')
+plt.title('log')
+plt.grid(True)
+
+
+# symmetric log
+plt.subplot(223)
+plt.plot(x, y - y.mean())
+plt.yscale('symlog', linthreshy=0.01)
+plt.title('symlog')
+plt.grid(True)
+
+# logit
+plt.subplot(224)
+plt.plot(x, y)
+plt.yscale('logit')
+plt.title('logit')
+plt.grid(True)
+# Format the minor tick labels of the y-axis into empty strings with
+# `NullFormatter`, to avoid cumbering the axis with too many labels.
+plt.gca().yaxis.set_minor_formatter(NullFormatter())
+# Adjust the subplot layout, because the logit one may take more space
+# than usual, due to y-tick labels like "1 - 10^{-3}"
+plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
+                    wspace=0.35)
+
+
+#------------------------------- END OF YOUR MATPLOTLIB CODE -------------------------------
+
+# ****** Comment out this line if not using Pyplot ******
+fig = plt.gcf()      # if using Pyplot then get the figure from the plot
 
 # -------------------------------- GUI Starts Here -------------------------------#
 # fig = your figure you want to display.  Assumption is that 'fig' holds the      #