Question

这可能是一个奇怪的问题，但我试图将一些数据写入Excel工作表，以便根据从不同工作表中读取的数据制定计划。我目前已经设置好了，所以我可以编写一个DataFrame并根据信息更改单元格的颜色。现在我想在保持颜色的同时在这些单元格中添加新信息。

import pandas as pd, datetime as dt
import glob, os
import math

runDir = "/Users/AaronsMac/Documents/"

if os.getcwd() != runDir:
    os.chdir(runDir)

files = glob.glob("edcLineup_*.xlsx")
schedule = glob.glob("edcSetTime*.xlsx")
print schedule


for each in files:
    sheets = pd.ExcelFile(each).sheet_names
    sheets = sorted(sheets)
    df = {}
    for sheet in sheets:
        df = pd.read_excel(each, sheet, index_col='Artists')


#print df

colNames = list(df.columns.values)
artists = list(df.index.values)
# print colNames
# print artists



for name in colNames:
    schedule_sheets = pd.ExcelFile(schedule[0]).sheet_names
    scheduleData = {}
    for s_sheet in schedule_sheets:
        scheduleData[s_sheet] = pd.read_excel(schedule[0],s_sheet, index_col='Time')
    finalSched = pd.concat(scheduleData).unstack(0)
    stages = list(finalSched.columns.values)
    indSched = finalSched.copy()
    asciiName = name.encode('ascii','ignore')
    for stage in stages:
        for dj in artists:
            for time,prevtime in zip(list(finalSched.index.values),list(finalSched.index.values)[1:]):
                if type(indSched.at[time,stage]) == float:
                    if math.isnan(indSched.at[time,stage]):
                        indSched.at[time,stage] = indSched.at[prevtime,stage]
                        finalSched.at[time,stage] = finalSched.at[prevtime,stage]
                if type(indSched.at[time,stage]) == str or type(indSched.at[time,stage]) == unicode:
                    if indSched.at[time,stage].lower() == dj.lower():
                        indSched.at[time,stage] = df.at[dj,name]
    writer = pd.ExcelWriter(asciiName+'_schedule.xlsx',engine='xlsxwriter')
    indSched.to_excel(writer,sheet_name=s_sheet)
    workbook = writer.book
    worksheet = writer.sheets[s_sheet]
    worksheet.conditional_format('B3:Y48',{'type': '3_color_scale'})
    writer.save()`

以上是我目前的代码（我确定它的效率相当低，但我只是想让目前正常工作）。我已尝试执行以下操作来覆盖数据，但它给了我一个excel错误，说我需要修复文件才能查看它。它也消除了着色。

indSched.to_excel(writer,sheet_name=s_sheet)
workbook = writer.book
worksheet = writer.sheets[s_sheet]
worksheet.conditional_format('B3:Y48',{'type': '3_color_scale'})
finalSched.to_excel(writer,sheet_name=s_sheet)
writer.save()

我有点难过，也许这是完全错误的做事方式，但只是想知道是否有人有一些建议。

以下是我用来从中提取数据的两个文件。 One和Two

将具有不同数据的两个Dataframe写入单个excel文件。熊猫

0 个答案: