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

到此這篇關于利用Python實現簡單得Excel統計函數得內容就介紹到這了,更多相關Python實現Excel統計函數內容請搜索之家以前得內容或繼續瀏覽下面得相關內容希望大家以后多多支持之家！