Ubuntu Python 安裝numpy SciPy、MatPlotLib環境

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安裝

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

 

測試

#test plotfrom mpl_toolkits.mplot3d import axes3dimport matplotlib.pyplot as pltfrom matplotlib import cmfig = 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 numpyfrom numpy import *print random.rand(4,4)#test scipyimport numpy as npfrom scipy.stats import betafrom matplotlib.pyplot import hist, plot, showobs = beta.rvs(5, 5, size=2000)  # 2000 observationshist(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]]
 

 

Ubuntu Python 安裝numpy SciPy、MatPlotLib環境