随笔分类 -  pandas

摘要:思路:新增一列,直接用字符串G+身份证号码 import pandas as pd path = "stus.xlsx" df = pd.read_excel(path, names=['班级','姓名','性别','身份证号码'] #为了防止字段不规范,比如多空格等问题 ) df["N身份证号码" 阅读全文
posted @ 2022-12-24 17:55 scholar-for-ever 阅读(267) 评论(0) 推荐(0)
摘要:df.apply方法: import pandas as pd path = 'score.xlsx' df = pd.read_excel(path) df['理综'] = df['物理']+df['化学']+df['生物'] df.head() def lizong(x): if x['理综'] 阅读全文
posted @ 2022-12-24 03:40 scholar-for-ever 阅读(292) 评论(0) 推荐(0)
摘要:读取与生成新的excel文件: import pandas as pd path = "score.xlsx" df = pd.read_excel(path) #读文件 df['主科总分'] = df['语文'] + df['数学'] +df['英语'] #修改文件内容:将主科、理科、文科的总分计 阅读全文
posted @ 2022-12-24 03:07 scholar-for-ever 阅读(60) 评论(0) 推荐(0)
摘要:dataframe:二维数据 ,整个表格,多行多列 series:一维数据,一行或一列 s.loc[:,"列名"] = s["列名"].str.replace("'°C","").astype('int32') # 去掉°c 以excel成绩为例: import pandas as pd impor 阅读全文
posted @ 2022-12-20 07:30 scholar-for-ever 阅读(23) 评论(0) 推荐(0)
摘要:查看环境 conda env list 创建python name环境,python版本为3.9: conda create -n name python=3.9 激活: conda activate name 去掉激活: conda deactivate name 进入pandas目录: cd D 阅读全文
posted @ 2022-12-20 00:53 scholar-for-ever 阅读(250) 评论(0) 推荐(0)