In [1]:
%matplotlib inline
import pylab
import matplotlib.pyplot as plt
import seaborn
In [2]:
x = pylab.linspace(0, 5, 10)
y = x ** 2
In [3]:
pylab.figure()
pylab.plot(x, y, 'r')
pylab.xlabel('X')
pylab.ylabel('Y')
pylab.title('Title')
pylab.show()
In [4]:
pylab.subplot(1, 2, 1)
pylab.plot(x, y, 'r--')
pylab.subplot(1, 2, 2)
pylab.plot(y, x, 'p--')
Out[4]:
In [5]:
fig = plt.figure()
axes = fig.add_axes([0.1, 0.1, 0.8, 0.8])
axes.plot(x, y, 'r+-')
axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_title('title')
Out[5]:
In [6]:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(figsize=(20, 10))
ax = fig.add_subplot(111, projection='3d')
for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
xs = np.arange(20)
ys = np.random.rand(20)
# You can provide either a single color or an array. To demonstrate this,
# the first bar of each set will be colored cyan.
cs = [c] * len(xs)
cs[0] = 'c'
ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.show()