Ubuntu Python 安装numpy SciPy、MatPlotLib环境

安装

sudo apt-get install python-scipy
sudo apt-get install python-numpy
sudo apt-get install python-matplotlib

测试

#test plot
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm

fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
cset = ax.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
cset = ax.contour(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)

ax.set_xlabel('X')
ax.set_xlim(-40, 40)
ax.set_ylabel('Y')
ax.set_ylim(-40, 40)
ax.set_zlabel('Z')
ax.set_zlim(-100, 100)

plt.show()

#test numpy
from numpy import *
print random.rand(4,4)

#test scipy
import numpy as np
from scipy.stats import beta
from matplotlib.pyplot import hist, plot, show

obs = beta.rvs(5, 5, size=2000)  # 2000 observations
hist(obs, bins=40, normed=True)
grid = np.linspace(0.01, 0.99, 100)
plot(grid, beta.pdf(grid, 5, 5), 'k-', linewidth=2)
show()

[[ 0.65980666  0.55674039  0.15432447  0.63885279]
 [ 0.77583865  0.78290332  0.31575893  0.12678885]
 [ 0.67791378  0.86333224  0.97039675  0.95323786]
 [ 0.31306339  0.54107452  0.79611926  0.05306962]]