pandas多班级合并提取教师个人课表，多表同位置填充数据

import pandas as pd
import numpy as np
from pprint import pprint

pd.set_option('display.max_columns', None)

data = []
classList = ["2101大数据", "2101软件", "2102软件"]
ddd = pd.DataFrame(np.zeros([200, 25]))
ddd.replace(0.0, np.nan, inplace=True)


#  循环做数据
def Excute(clas):
    # data2101 = pd.read_excel("class.xlsx", sheet_name=clas)
    # 读一个工作簿，切换多个工作表
    io = pd.io.excel.ExcelFile("class.xlsx")
    x1 = pd.ExcelFile("class.xlsx")
    all_name = x1.sheet_names
    df = pd.read_excel(io, sheet_name=all_name)
    # 操作每个sheet页
    for sheet in all_name:
        df_new = df[sheet]
        print(df_new)
        tail7 = df_new.tail(7).dropna(axis=1, how="all")
        for indexs in tail7.index:
            for i in range(len(tail7.loc[indexs].values)):
                if (tail7.loc[indexs].values[i] == "奎永杰"):
                    #                 print(indexs,i)
                    #                 print(tail7.loc[indexs].values[i])
                    data.append({"星期": {"value": tail7.loc[indexs][1], "index": [indexs, 1]},
                                 "课程": {"value": tail7.loc[indexs][i - 1] + clas + tail7.loc[indexs][i + 1],
                                        "index": [indexs, i]}})


# 替换数据
def changeData():
    for i in data:
        week = i["星期"]
        ddd.iloc[(week["index"][0]), week["index"][1]] = week["value"]
        Class = i["课程"]
        ddd.iloc[(Class["index"][0]), Class["index"][1]] = Class["value"]


if __name__ == '__main__':
    for c in classList:
        Excute(c)
    pprint(data)
    changeData()
    ddd.to_excel("课表.xlsx")

标签：tail7,sheet,index,loc,pandas,课表,pd,indexs,多表同
来源： https://www.cnblogs.com/zwnsyw/p/15592544.html