DOC: Tweak

Author: larsoner

doc/matplotlibrc

@@ -2,3 +2,4 @@ backend            : Agg
 figure.figsize     : 5.5, 4.5 # figure size in inches
 savefig.dpi        : 80       # figure dots per inch
 docstring.hardcopy : True     # set this when you want to generate hardcopy docstring
+animation.embed_limit : 30    # allow embedded animations to be big

examples/animation/animated_histogram.py

@@ -87,5 +87,5 @@ def animate(i):
 ax.set_xlim(left[0], right[-1])
 ax.set_ylim(bottom.min(), top.max())
 
-ani = animation.FuncAnimation(fig, animate, 100, repeat=False, blit=True)
+ani = animation.FuncAnimation(fig, animate, 50, repeat=False, blit=True)
 plt.show()

examples/animation/bayes_update.py

@@ -31,7 +31,7 @@ def __init__(self, ax, prob=0.5):
 
         # Set up plot parameters
         self.ax.set_xlim(0, 1)
-        self.ax.set_ylim(0, 15)
+        self.ax.set_ylim(0, 10)
         self.ax.grid(True)
 
         # This vertical line represents the theoretical value, to

examples/animation/double_pendulum_sgskip.py renamed to examples/animation/double_pendulum.py

@@ -20,6 +20,7 @@
 L2 = 1.0  # length of pendulum 2 in m
 M1 = 1.0  # mass of pendulum 1 in kg
 M2 = 1.0  # mass of pendulum 2 in kg
+t_stop = 5  # how many seconds to simulate
 
 
 def derivs(state, t):
@@ -48,7 +49,7 @@ def derivs(state, t):
 
 # create a time array from 0..100 sampled at 0.05 second steps
 dt = 0.05
-t = np.arange(0, 20, dt)
+t = np.arange(0, t_stop, dt)
 
 # th1 and th2 are the initial angles (degrees)
 # w10 and w20 are the initial angular velocities (degrees per second)
@@ -69,8 +70,8 @@ def derivs(state, t):
 x2 = L2*sin(y[:, 2]) + x1
 y2 = -L2*cos(y[:, 2]) + y1
 
-fig = plt.figure()
-ax = fig.add_subplot(111, autoscale_on=False, xlim=(-2, 2), ylim=(-2, 2))
+fig = plt.figure(figsize=(5, 4))
+ax = fig.add_subplot(111, autoscale_on=False, xlim=(-2, 2), ylim=(-2, 1))
 ax.set_aspect('equal')
 ax.grid()
 

examples/animation/dynamic_image.py

@@ -9,22 +9,25 @@
 import matplotlib.pyplot as plt
 import matplotlib.animation as animation
 
-fig = plt.figure()
+fig, ax = plt.subplots()
 
 
 def f(x, y):
     return np.sin(x) + np.cos(y)
 
 x = np.linspace(0, 2 * np.pi, 120)
 y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
+
 # ims is a list of lists, each row is a list of artists to draw in the
 # current frame; here we are just animating one artist, the image, in
 # each frame
 ims = []
 for i in range(60):
     x += np.pi / 15.
     y += np.pi / 20.
-    im = plt.imshow(f(x, y), animated=True)
+    im = ax.imshow(f(x, y), animated=True)
+    if i == 0:
+        ax.imshow(f(x, y))  # show an initial one first
     ims.append([im])
 
 ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,

examples/animation/random_walk.py

@@ -69,6 +69,6 @@ def update_lines(num, data_lines, lines):
 
 # Creating the Animation object
 line_ani = animation.FuncAnimation(
-    fig, update_lines, 25, fargs=(data, lines), interval=50)
+    fig, update_lines, 50, fargs=(data, lines), interval=50)
 
 plt.show()

examples/animation/simple_anim.py

@@ -16,12 +16,12 @@
 
 
 def animate(i):
-    line.set_ydata(np.sin(x + i / 100))  # update the data.
+    line.set_ydata(np.sin(x + i / 50))  # update the data.
     return line,
 
 
 ani = animation.FuncAnimation(
-    fig, animate, interval=2, blit=True, save_count=50)
+    fig, animate, interval=20, blit=True, save_count=50)
 
 # To save the animation, use e.g.
 #

examples/animation/strip_chart.py

@@ -39,7 +39,7 @@ def update(self, y):
         return self.line,
 
 
-def emitter(p=0.03):
+def emitter(p=0.1):
     """Return a random value in [0, 1) with probability p, else 0."""
     while True:
         v = np.random.rand(1)
@@ -49,14 +49,14 @@ def emitter(p=0.03):
             yield np.random.rand(1)
 
 # Fixing random state for reproducibility
-np.random.seed(19680801)
+np.random.seed(1968080)
 
 
 fig, ax = plt.subplots()
 scope = Scope(ax)
 
 # pass a generator in "emitter" to produce data for the update func
-ani = animation.FuncAnimation(fig, scope.update, emitter, interval=10,
+ani = animation.FuncAnimation(fig, scope.update, emitter, interval=50,
                               blit=True)
 
 plt.show()

requirements/doc/doc-requirements.txt

@@ -14,3 +14,4 @@ ipywidgets
 numpydoc>=0.8
 sphinx-gallery>=0.7
 sphinx-copybutton
+scipy