In [9]:
%matplotlib inline
In [10]:
import numpy as np
import matplotlib.pyplot as plt
## initialize the axes
fig = plt.figure()
ax = fig.add_subplot(111)
## format axes
ax.set_ylabel('volts')
ax.set_title('a sine wave')
t = np.arange(0.0, 1.0, 0.01)
s = np.sin(2*np.pi*t)
line, = ax.plot(t, s, color='blue', lw=2)
In [11]:
import numpy as np
import matplotlib.pyplot as plt
## initialize the figure
fig = plt.figure(figsize=(15,10))
## the data
t = np.arange(0.0, 1.0, 0.01)
s = np.sin(2*np.pi*t)
## the top axes
ax1 = fig.add_subplot(3,1,1)
ax1.set_ylabel('volts')
ax1.set_title('a sine wave')
line1 = ax1.plot(t, s+5.0, color='blue', lw=2)
line2 = ax1.plot(t, s+2.5, color='red', lw=2)
line3 = ax1.plot(t, s, color='orange', lw=2)
## the middle axes
ax2 = fig.add_subplot(3,1,2)
ax2.set_ylabel('volts')
ax2.set_title('a sine wave')
line1 = ax2.plot(t, s+5.0, color='black', lw=2,linestyle="--")
line2 = ax2.plot(t, s+2.5, color='black', lw=2,linestyle="-.")
line3 = ax2.plot(t, s, color='#000000', lw=2,linestyle=":")
## the thrid axes
ax3 = fig.add_subplot(3,1,3)
ax3.set_ylabel('volts')
ax3.set_title('a sine wave')
line1 = ax3.plot(t,s+5.0, color='blue', marker="+")
line2 = ax3.plot(t,s+2.5, color='red', marker="o")
line3 = ax3.plot(t,s, color='orange', marker="^")
## adjust the space between plots
plt.subplots_adjust(wspace=0.2,hspace=.4)
In [15]:
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 50)
z = np.linspace(-2, 2, 50)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='parametric curve')
ax.legend()
plt.show()
In [ ]:
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, projection='3d')
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,
linewidth=0, antialiased=True)
ax.set_zlim(-1.01, 1.01)
plt.show()