Example 1: clf subplot matlab
h1 = subplot(2,1,1);
hold on
x1=(0:0.01:10);
y1=sin(x1);
p1=plot(x1,y1);
h2 = subplot(2,1,2)
hold on
x1=(0:0.01:10);
y2=sin(x1)+cos(x1);
p2=plot(x1,y2,'Color','r');
cla(h2)
cla(h1)
Example 2: subplots matplotlib
# First create some toy data:
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)
# Create just a figure and only one subplot
fig, ax = plt.subplots()
ax.plot(x, y)
ax.set_title('Simple plot')
# Create two subplots and unpack the output array immediately
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
ax1.plot(x, y)
ax1.set_title('Sharing Y axis')
ax2.scatter(x, y)
# Create four polar axes and access them through the returned array
fig, axs = plt.subplots(2, 2, subplot_kw=dict(polar=True))
axs[0, 0].plot(x, y)
axs[1, 1].scatter(x, y)
# Share a X axis with each column of subplots
plt.subplots(2, 2, sharex='col')
# Share a Y axis with each row of subplots
plt.subplots(2, 2, sharey='row')
# Share both X and Y axes with all subplots
plt.subplots(2, 2, sharex='all', sharey='all')
# Note that this is the same as
plt.subplots(2, 2, sharex=True, sharey=True)
# Create figure number 10 with a single subplot
# and clears it if it already exists.
fig, ax = plt.subplots(num=10, clear=True)
Example 3: subplot
subplot(m,n,p) %Creates subplot of m rows and n columns and assigns to plot in
p index of mxn subplot matrix.