Ubuntu Python 安装numpy SciPyMatPlotLib环境
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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]]
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