numpy+scipy+matplotlib

• NumPy是Python語言的一個擴充程式庫。支援高階大量的維度陣列與矩陣運算
• SciPy是Python演算法庫和數學工具包
• Matplotlib是MATLAB內建繪圖功能類似的函數庫

numpy

• np.array()
• np.linspace()
• np.arange(6)
• np.reshape((3, 2))
• numpy.random
• numpy.linalg

scipy

• Special functions (scipy.special)
• Integration (scipy.integrate)
• Optimization (scipy.optimize)
• Interpolation (scipy.interpolate)
• Fourier Transforms (scipy.fftpack)
• Signal Processing (scipy.signal)
• Linear Algebra (scipy.linalg)
• Sparse Eigenvalue Problems with ARPACK
• Compressed Sparse Graph Routines (scipy.sparse.csgraph)
• Spatial data structures and algorithms (scipy.spatial)
• Statistics (scipy.stats)
• Multidimensional image processing (scipy.ndimage)
• File IO (scipy.io)

matplotlib

• plt.plot() / plt.subplot()
• plt.scatter()
• plt.show()
• plt.imshow()
• plt.hist()

2d array

import numpy as np
a = np.array([[1, 2, 3], [3, 4, 6.7], [5, 9.0, 5]])

Scatter plot

import matplotlib.pyplot as plt
from numpy.random import rand
a = rand(100)
b = rand(100)
plt.scatter(a, b)
plt.show()