title: "Array creation routines" date: 2026-05-24T13:51:21Z Array creation routines Ones and zeros 1import numpy as np Create a new array of 2*2 integers, without initializing entries. array([[0, 0], [0, 0]]) Let X = np.array([1,2,3], [4,5,6], np.int32). Create a new array with the same shape and type as X. 1X = …

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title: "Array creation routines" date: 2026-05-24T13:51:24Z Array creation routines Ones and zeros 1import numpy as np Create a new array of 2*2 integers, without initializing entries. 1np.empty([2,2], int) array([[0, 0], [0, 0]]) Let X = np.array([1,2,3], [4,5,6], np.int32). Create a new array with the same shape and …

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title: "适合初学者快速入门的Numpy实战全集" date: 2026-05-24T13:49:57Z 适合初学者快速入门的Numpy实战全集 本文由光城同学整理 Numpy是一个用python实现的科学计算的扩展程序库，包括： 1、一个强大的N维数组对象Array； 2、比较成熟的（广播）函数库； 3、用于整合C/C++和Fortran代码的工具包； 4、实用的线性代数、傅里叶变换和随机数生成函数。numpy和稀疏矩阵运算包scipy配合使用更加方便。 NumPy（Numeric Python）提供了许多高级的数值编程工具，如：矩阵数据类型、矢量处理，以及精密的运算库。专为进行严格的数字处理而产生。多为很多大型金融公司使 …

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title: "SciPy-数值计算库" date: 2026-05-24T14:11:00Z 1import numpy as np 2import pylab as pl 1import matplotlib as mpl 2mpl.rcParams['font.sans-serif'] = ['SimHei'] SciPy-数值计算库 1import scipy 2scipy.version '1.0.0' 常数和特殊函数 1from scipy import constants as C 2print (C.c) # 真空中的光速 3print (C.h) # 普朗克常数 299792458.0 …

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title: "十分钟入门pandas" date: 2026-05-24T14:08:58Z 十分钟入门pandas 1#coding:utf8 2%matplotlib inline 这个一篇针对pandas新手的简短入门，想要了解更多复杂的内容，参阅Cookbook 通常，我们首先要导入以下几个库： 1import pandas as pd 2import numpy as np 3import matplotlib.pyplot as plt 创建对象 通过传递一个list来创建Series，pandas会默认创建整型索引： 1s = pd.Series([1,3,5,np.nan,6,8]) 2s 0 1.0 1 3.0 …

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title: "Random Sampling" date: 2026-05-24T13:50:59Z Random Sampling 1import numpy as np 1np.version '1.11.2' 1__author__ = 'kyubyong. longinglove@nate.com' Simple random data Q1. Create an array of shape (3, 2) and populate it with random samples from a uniform distribution over [0, 1). array([[ 0.13879034, …

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title: "Random Sampling" date: 2026-05-24T13:51:01Z Random Sampling 1import numpy as np 1np.version '1.11.2' 1__author__ = 'kyubyong. longinglove@nate.com' Simple random data Q1. Create an array of shape (3, 2) and populate it with random samples from a uniform distribution over [0, 1). 1np.random.rand(3, 2) 2# Or …

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title: "10.scipy-spatial" date: 2026-05-24T14:11:03Z 1import numpy as np 2import pylab as pl 3from scipy import spatial 1import matplotlib as mpl 2mpl.rcParams['font.sans-serif'] = ['SimHei'] 空间算法库-spatial 计算最近旁点 1x = np.sort(np.random.rand(100)) 2idx = np.searchsorted(x, 0.5) 3print (x[idx], x[idx - 1]) #距离0.5最近的数是这两 …

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title: "Alternative solution, in Python 3.5 and above" date: 2026-05-24T13:50:37Z 100 numpy exercises This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new …

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title: "100 numpy exercises" date: 2026-05-24T13:50:39Z 100 numpy exercises This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new users but also to provide a …

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