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'''将csv每一行变成每一个独立csv'''import csvimport osimport pandasimport xlrd#D:/数据文章//1522//擅长信息result.csv# code=utf-8import pandas as pd# 打开文件data = pd.read_csv(r'D:/数据文章//1522//擅长信息result.csv',encoding='utf-8')#print(data)content = data['result']#pr.

'''将表格每一行变成每一个独立文本'''import osimport xlrdos.chdir(r"d:/shiyan//data")def read(): file_path = 'd01.xlsx' data = xlrd.open_workbook(file_path) table = data.sheet_by_name('Sheet1') nrows = table.nrows for i in range(0, nrows): .

1.绘制简单的折线图#1.绘制简单的折线图import matplotlib.pyplot as pltsquares = [1,4,9,16,25]plt.plot(squares)plt.show()首先导入pyplot，并给他指定了别名plt，以免反复输入pyplot。plt.show()打开matplotlib查看器2.修改标签文字和线条粗细#1.绘制简单的折线图import matplotlib.pyplot as pltsquares = [1,4,9,

如果对一个列表，既要遍历索引又要遍历列表元素时，首先可以这么写：list1 = ["这","是","一","个","测试","哦"]for i in range(len(list1)): print(i,list1[i])上述方法没有enumerate()更好：list1 = ["这","是","一","个","测试","哦"]for index,item in enumerate(list1): print(index,item)两种方法都能得到结果：当然.

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修改列表元素cars=['honda','yamaha','suzuki']print(cars)acrs[0]=['ducati']print(cars)第一个结果为['honda','yamaha','suzuki']第二个结果为[‘ducati’，'honda','yamaha','suzuki']添加列表元素 append（）1.在末尾添加cars=['honda','yamaha','suzuki']在列表中插入元素...