将熊猫df写入xlsx时，如何使此循环正常工作？

Question

我已经使用了这段代码 ，这是可行的。 现在，在较小的“ rep_list”中，它执行列表中的第一个rep（即CP）并将其添加，但是当它到达AM时，它将覆盖CP。 因此，当我运行此代码时，它实际上仅将最后一个人保存在循环中。 如果我仅使用“ CP”运行代码，然后仅使用“ AM”运行代码，则它会按需添加。 for循环有问题吗？ 还是工作簿本身存在问题？

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！

编辑：

Gaurav Dhama给出了一个很好的答案，效果很好。 他指出，Pandas excelwriter有一个局限性（请参阅此链接），并提出了一个解决方案，在该解决方案中，每个代表最后都有自己的工作表。 这行得通，但是在考虑之后，我选择了其他表格，并在知道存在限制的情况下提出了此解决方案。 基本上，我附加了一个CSV而不是实际的XLSX文件，然后最后打开了该CSV并将一个大列表附加到了XLSX文件中。 哪种方法都有效，仅取决于最终产品的外观。

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

如果使用openpyxl 2.4，则可以直接在openpyxl中使用Pandas数据帧 。