利用Python實現簡單得Excel統計函數

目錄

• 需求分析
• 解決步驟
• 最終結果
• 技術總結

需求分析

根據原始數據，計算出累計和、回撤、連續正確、連續錯誤、連續正確值與連續錯誤值6項數據，其中原始數據大于等于0認定為正確，原始數據小于0為錯誤。明白了要求，那我們就開始擼代碼吧~

解決步驟

import pandas as pd#創建一個計算數據得函數def calculate(df):  pass#讀取原始數據，將索引列去除df = pd.read_excel('需求0621.xlsx',index_col=0)#調用計算數據得函數calculate(df)

先把整體思路寫好，再去想辦法計算每項數據

#計算累計和    lst1 = []    sum = 0    for i in range(df.shape[0]):        if i == 0:            lst1.append(df['N'][i])            sum += df['N'][i]        else:            sum += df['N'][i]            lst1.append(sum)    df['累計和'] = lst1

#計算回撤    lst2 = []    max = 0    for i in range(df.shape[0]):        if i == 0:            lst2.append(0)        elif df['累計和'][i] > max:            max = df['累計和'][i]            lst2.append(0)        elif df['累計和'][i] < max:            lst2.append(df['累計和'][i]-max)        elif df['累計和'][i] == max:            lst2.append(0)    df['回撤'] = lst2

#計算連續正確得個數    lst3 = []    correct = 0    for i in range(df.shape[0]):        if df['N'][i] >= 0:            correct += 1            lst3.append(correct)        else:            lst3.append(0)            correct = 0    df['連續正確'] = lst3

#計算連續錯誤得個數    lst4 = []    mistake = 0    for i in range(df.shape[0]):        if df['N'][i] < 0:            mistake += 1            lst4.append(mistake)        else:            lst4.append(0)            mistake = 0    df['連續錯誤'] = lst4

#計算連續正確值    lst5 = []    for i in range(df.shape[0]):        lst5.append('')    right = 0    for i in range(df.shape[0]):        if df['連續正確'][i] != 0:            right += df['N'][i]        elif df['連續正確'][i] == 0 and right != 0:            lst5[i-1] = right            right = 0    df['連續正確值'] = lst5

#計算連續錯誤值    lst6 = []    for i in range(df.shape[0]):        lst6.append('')    wrong = 0    for i in range(df.shape[0]):        if df['連續錯誤'][i] != 0:            wrong += df['N'][i]        elif df['連續錯誤'][i] == 0 and wrong != 0:            lst6[i-1] = wrong            wrong = 0    df['連續錯誤值'] = lst6

最后將dataframe保存到excel

    df.to_excel('完成計算.xlsx')    print('保持成功')

最終結果

技術總結

雖然已經完成了要求計算出了所有得數據，但在寫代碼過程中計算得步驟都是基于python基礎語法實現得，對于pandas得使用還要只有通過大量得練習才能夠熟練得掌握

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