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VBA处理数据与Python Pandas处理数据案例比较分析

2020-07-29  f321wn
  更新时间:2020年04月07日 14:04:21   转载 作者:Collin_PXY  
这篇文章主要介绍了VBA处理数据与Python Pandas处理数据案例比较,本文通过实例代码给大家介绍的非常详细,具有一定的参考借鉴价值,需要的朋友可以参考下

需求:

现有一个 csv文件,包含'CNUM'和'COMPANY'两列,数据里包含空行,且有内容重复的行数据。

要求:

1)去掉空行;
2)重复行数据只保留一行有效数据;
3)修改'COMPANY'列的名称为'Company_New‘;
4)并在其后增加六列,分别为'C_col',‘D_col',‘E_col',‘F_col',‘G_col',‘H_col'。

在这里插入图片描述

一,使用 Python Pandas来处理

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import pandas as pd
import numpy as np
from pandas import DataFrame,Series
def deal_with_data(filepath,newpath):
  file_obj=open(filepath)
  df=pd.read_csv(file_obj)  # 读取csv文件,创建 DataFrame
  df=df.reindex(columns=['CNUM','COMPANY','C_col','D_col','E_col','F_col','G_col','H_col'],fill_value=None# 重新指定列索引
  df.rename(columns={'COMPANY':'Company_New'}, inplace = True) # 修改列名
  df=df.dropna(axis=0,how='all')         # 去除 NAN 即文件中的空行
  df['CNUM'] = df['CNUM'].astype('int32')    # 将 CNUM 列的数据类型指定为 int32
  df = df.drop_duplicates(subset=['CNUM', 'Company_New'], keep='first') # 去除重复行
  df.to_csv(newpath,index=False,encoding='GBK')
  file_obj.close()
   
if __name__=='__main__':
  file_path=r'C:\Users\12078\Desktop\python\CNUM_COMPANY.csv'
  file_save_path=r'C:\Users\12078\Desktop\python\CNUM_COMPANY_OUTPUT.csv'
  deal_with_data(file_path,file_save_path)

二,使用 VBA来处理:

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Option Base 1
Option Explicit
Sub main()
 On Error GoTo error_handling
 Dim wb         As Workbook
 Dim wb_out       As Workbook
 Dim sht         As Worksheet
 Dim sht_out       As Worksheet
 Dim rng         As Range
 Dim usedrows      As Byte
 Dim usedrows_out    As Byte
 Dim dict_cnum_company  As Object
 Dim str_file_path    As String
    Dim str_new_file_path  As String
    'assign values to variables:
    str_file_path = "C:\Users\12078\Desktop\Python\CNUM_COMPANY.csv"
    str_new_file_path = "C:\Users\12078\Desktop\Python\CNUM_COMPANY_OUTPUT.csv"
  
 Set wb = checkAndAttachWorkbook(str_file_path)
 Set sht = wb.Worksheets("CNUM_COMPANY")
 Set wb_out = Workbooks.Add
 wb_out.SaveAs str_new_file_path, xlCSV 'create a csv file
 Set sht_out = wb_out.Worksheets("CNUM_COMPANY_OUTPUT")
 Set dict_cnum_company = CreateObject("Scripting.Dictionary")
 usedrows = WorksheetFunction.Max(getLastValidRow(sht, "A"), getLastValidRow(sht, "B"))
 'rename the header 'COMPANY' to 'Company_New',remove blank & duplicate lines/rows.
 Dim cnum_company As String
 cnum_company = ""
 For Each rng In sht.Range("A1", "A" & usedrows)
   If VBA.Trim(rng.Offset(0, 1).Value) = "COMPANY" Then
     rng.Offset(0, 1).Value = "Company_New"
   End If
   cnum_company = rng.Value & "-" & rng.Offset(0, 1).Value
   If VBA.Trim(cnum_company) <> "-" And Not dict_cnum_company.Exists(rng.Value & "-" & rng.Offset(0, 1).Value) Then
     dict_cnum_company.Add rng.Value & "-" & rng.Offset(0, 1).Value, ""
   End If
 Next rng
  
 'loop the keys of dict split the keyes by '-' into cnum array and company array.
 Dim index_dict As Byte
 Dim arr_cnum()
 Dim arr_Company()
 For index_dict = 0 To UBound(dict_cnum_company.keys)
   ReDim Preserve arr_cnum(1 To UBound(dict_cnum_company.keys) + 1)
   ReDim Preserve arr_Company(1 To UBound(dict_cnum_company.keys) + 1)
   arr_cnum(index_dict + 1) = Split(dict_cnum_company.keys()(index_dict), "-")(0)
   arr_Company(index_dict + 1) = Split(dict_cnum_company.keys()(index_dict), "-")(1)
   Debug.Print index_dict
 Next
 'assigns the value of the arrays to the celles.
 sht_out.Range("A1", "A" & UBound(arr_cnum)) = Application.WorksheetFunction.Transpose(arr_cnum)
 sht_out.Range("B1", "B" & UBound(arr_Company)) = Application.WorksheetFunction.Transpose(arr_Company)
 'add 6 columns to output csv file:
 Dim arr_columns() As Variant
 arr_columns = Array("C_col", "D_col", "E_col", "F_col", "G_col", "H_col")  '
 sht_out.Range("C1:H1") = arr_columns
 Call checkAndCloseWorkbook(str_file_path, False)
 Call checkAndCloseWorkbook(str_new_file_path, True)
Exit Sub
error_handling:
  Call checkAndCloseWorkbook(str_file_path, False)
  Call checkAndCloseWorkbook(str_new_file_path, False)
End Sub
' 辅助函数:
'Get last row of Column N in a Worksheet
Function getLastValidRow(in_ws As Worksheet, in_col As String)
  getLastValidRow = in_ws.Cells(in_ws.Rows.count, in_col).End(xlUp).Row
End Function
Function checkAndAttachWorkbook(in_wb_path As String) As Workbook
  Dim wb As Workbook
  Dim mywb As String
  mywb = in_wb_path
   
  For Each wb In Workbooks
    If LCase(wb.FullName) = LCase(mywb) Then
      Set checkAndAttachWorkbook = wb
      Exit Function
    End If
  Next
   
  Set wb = Workbooks.Open(in_wb_path, UpdateLinks:=0)
  Set checkAndAttachWorkbook = wb
End Function
  
Function checkAndCloseWorkbook(in_wb_path As String, in_saved As Boolean)
  Dim wb As Workbook
  Dim mywb As String
  mywb = in_wb_path
  For Each wb In Workbooks
    If LCase(wb.FullName) = LCase(mywb) Then
      wb.Close savechanges:=in_saved
      Exit Function
    End If
  Next
End Function

三,输出结果:

在这里插入图片描述

两种方法输出结果相同:

四,比较总结:

Python pandas 内置了大量处理数据的方法,我们不需要重复造轮子,用起来很方便,代码简洁的多。
Excel VBA 处理这个需求,使用了 数组,字典等数据结构(实际需求中,数据量往往很大,所以一些地方没有直接使用遍历单元格的方法),以及处理字符串,数组和字典的很多方法,对文件的操作也很复杂,一旦出错,调试起来比python也较困难,代码已经尽量优化,但还是远比 Python要多。

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