numpy notes

numpy_notes.md

Intro to numpy

Spyder

• Provides an ipython environment from the IDE
  Console -> Open ipython console

ipython

• Can use standard help function help('numpy')
• Can get help on numpy array function help('numpy.array')
• Import numpy with import numpy as np
• Create numpy arrays with array1 = np.array([3, 6, 9, 12])
• Find array data type with array1.dtype

numpy arrays

• Create 2D array with b = np.array([[3,6,9],[2,4,6]])
• Create zero array with c = np.zeros((5,3))
• Create ones array with d = np.ones((3,2))
• Find name of data type with c.dtype.name
• Specify data type with f = np.ones((3,4), dtype=np.int64)
• Create empty with g = np.empty((3,3))
• Creat with range using h = np.arange(0, 10, 2)
• Use linspace for floating point with i = np.linspace(0, 5, 13)
• Complex numbers with cplx = np.array([[2,4],[3,6],[4,8]], dtype=complex)
• Can use arange with reshape for building a matrix with m = np.arange(10).reshape(5,2)