1. read()方法文件对象.read(num)num表示要从文件中读取的数据的长度（单位是字节），如果没有传入num,那么就表示读取文件中所有的数据。读10个字节 读全部 2.readline()方法一次读一行 3....

1. for循环自带计数 enumeratenames = ['a', 'b', 'c', 'd'] for i, name in enumerate(names): print(i, name) 2. 循环的时候合并多个列表 zipnames = ['a', 'b', 'c', 'd'] ages = [10, 20, ...

能读取和保存的格式如下 1. CSV读取csvpandas.read_csv(filepath,sep=',')filepath:文件路径usecols:制定读取的列名，列表形式 读取open和close列import pandas as pd stock_data = pd.read_c...

1. 算数运算准备数据import pandas as pdstock_data = pd.read_csv('/root/Documents/stock_data.csv')print(stock_data) 2. 算数运算加法close列全体加10print(stock_data['close'].add(10))...

准备数据import pandas as pd stock_data = pd.read_csv('/root/Documents/stock_data.csv') print(stock_data) 1. 赋值操作stock_data['volume'] = 100 print(stock_data)都变成了100或者使用...

准备数据import pandas as pd stock_data = pd.read_csv('/root/Documents/stock_data.csv') print(stock_data) 1. 直接索引索引的时候必须列在前 行在后我现在想索引open列 第0行的数据print(...

1. Pandas以Numpy为基础，借力Numpy模块在计算方面性能高的优势基于mataplotlib，能够简便的画图独特的数据结构读取文件方便封装了mataplotlib，Numpy的画图和计算 用下例来观察pandas输出和直...

1. 单个数组运算import numpy as np arr = np.array([1, 2, 3, 4]) print(arr) arr = arr + 1 print(arr) arr = arr / 2 print(arr) arr = arr * 2 print(arr) 2. 两个数组运算import numpy as...

1. 数组形状修改import numpy as np score = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13, 14, 15], [16, 17, 18, 19, 20], [21, 22, 23, 24, 25], [26, 27, 28, 29, 30], [31, ...

1. ndarray与python原生list运算效率对比import random import time import numpy as np a = [] for i in range(100000000): a.append(random.random()) %time sum1 = sum(a) b = np.array(a) %...