Question

我使用this code，这是有用的。现在在较小的'rep_list＆＃39;当它执行列表中的第一个代表时，CP会添加它，但是当它转到AM时它会覆盖CP。现在，当我运行此代码时，它实际上只保存循环中的最后一个人。如果我只使用＆＃34; CP＆＃34;运行代码然后只是＆＃34; AM＆＃34;它按原样附加它。 for循环有问题吗？或者是工作簿本身的问题？

import pandas as pd
import datetime
from openpyxl import load_workbook

now = datetime.datetime.now()
currentDate = now.strftime("%Y-%m-%d")
call_report = pd.read_excel("Ending 2016-07-30.xlsx", "raw_data")

#rep_list = ["CP", "AM", "JB", "TT", "KE"]
rep_list = ["CP", "AM"]

def call_log_reader(rep_name):
    rep_log = currentDate + "-" + rep_name + ".csv"
    df = pd.read_csv(rep_log)
    df = df.drop(['From Name', 'From Number', 'To Name / Reference', 'To Number', 'Billing Code', 'Original Dialed Number',
     'First Hunt Group', 'Last Hunt Group'], axis=1)
    df['rep'] = rep_name

    book = load_workbook('Ending 2016-07-30.xlsx')
    writer = pd.ExcelWriter('Ending 2016-07-30.xlsx', engine='openpyxl')
    writer.book = book
    writer.sheets = dict((ws.title, ws) for ws in book.worksheets)
    df.to_excel(writer, "raw_data", index=False)
    writer.save()
    ## I tried adding this : writer.close() hoping it would close the book and then force it to reopen for the next rep in the loop but it doesn't seem to work.

for rep in rep_list:
    call_log_reader(rep)

非常感谢你！

编辑：

Gaurav Dhama给出了一个很好的答案。他指出，Pandas excelwriter (refer to this link)存在一些限制，并提出了一个解决方案，其中每个代表最终获得自己的工作表。这很有效，但是在我考虑之后，我选择了额外的工作表并提出了解决方案，知道存在限制。基本上，我添加了一个CSV而不是实际的XLSX文件，然后在最后打开该CSV并将一个大的列表附加到XLSX文件中。任何一个都可以，只取决于你最终的产品是什么样的。

import pandas as pd
import datetime
from openpyxl import load_workbook

now = datetime.datetime.now()
currentDate = now.strftime("%Y-%m-%d")
call_report = "Ending 2016-07-30.xlsx"
#rep_list = ["CP", "AM", "JB", "TT", "KE"]
rep_list = ["CP", "AM"]
csv_to_xl_files = []
merged_csv = currentDate + "-master.csv"

def call_log_reader(rep_name):
    rep_log = currentDate + "-" + rep_name + ".csv"
    df = pd.read_csv(rep_log)
    df = df.drop(['TimestampDetail', 'Billing Code', 'From Name', 'From Number', 'To Name / Reference', 'To Number',
              'Original Dialed Number', 'First Hunt Group', 'Last Hunt Group'], axis=1)
    df['rep'] = rep_name
    #print (df.head(3))
    df.to_csv(merged_csv, mode='a', index=False, header=False)
    csv_to_xl_files.append(rep_log)

book = load_workbook(call_report)
writer = pd.ExcelWriter(call_report, engine='openpyxl')
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

for rep in rep_list:
    call_log_reader(rep)

master_df = pd.read_csv(merged_csv)
master_df.to_excel(writer, "raw_data", index=False)
writer.save()

#this csv_to_xl_files list isn't finished yet, basically I'm going to use it to delete the files from the directory as I don't need them once the script is run.
print (csv_to_xl_files)

Answer 1

尝试使用以下内容：

import pandas as pd
import datetime
from openpyxl import load_workbook

now = datetime.datetime.now()
currentDate = now.strftime("%Y-%m-%d")
call_report = pd.read_excel("Ending 2016-07-30.xlsx", "raw_data")

#rep_list = ["CP", "AM", "JB", "TT", "KE"]
rep_list = ["CP", "AM"]

def call_log_reader(rep_name):
    rep_log = currentDate + "-" + rep_name + ".csv"
    df = pd.read_csv(rep_log)
    df = df.drop(['From Name', 'From Number', 'To Name / Reference', 'To Number', 'Billing Code', 'Original Dialed Number',
     'First Hunt Group', 'Last Hunt Group'], axis=1)
    df['rep'] = rep_name
    df.to_excel(writer, "raw_data"+rep, index=False)
    return df

book = load_workbook('Ending 2016-07-30.xlsx')
writer = pd.ExcelWriter('Ending 2016-07-30.xlsx', engine='openpyxl')
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

for rep in rep_list:
    call_log_reader(rep)

writer.save()

Answer 2

如果您使用openpyxl 2.4，则可以work with Pandas dataframes in directly in openpyxl。

在将pandas df写入xlsx时，如何使此循环正常工作？

2 个答案: