目錄一、實(shí)例演示二、讀取源Excel到Pandas三、將一個(gè)大Excel等份拆成多個(gè)Excel四、合并多個(gè)小Excel到一個(gè)大Excel一、實(shí)例演示

1.將一個(gè)大Excel等份拆成多個(gè)Excel2.將多個(gè)小Excel合并成一個(gè)大Excel并標(biāo)記來源

work_dir='./course_datas/c15_excel_split_merge'splits_dir=f'{work_dir}/splits'import osif not os.path.exists(splits_dir): os.mkdir(splits_dir)二、讀取源Excel到Pandas

import pandas as pdNo output

df_source = pd.read_excel(f'{work_dir}/crazyant_blog_articles_source.xlsx')No output

df_source.head()

idtitletags02585Tensorflow怎樣接收變長(zhǎng)列表特征python,tensorflow,特征工程12583Pandas實(shí)現(xiàn)數(shù)據(jù)的合并concatpandas,python,數(shù)據(jù)分析22574Pandas的Index索引有什么用途？pandas,python,數(shù)據(jù)分析32564機(jī)器學(xué)習(xí)常用數(shù)據(jù)集大全python,機(jī)器學(xué)習(xí)42561一個(gè)數(shù)據(jù)科學(xué)家的修煉路徑數(shù)據(jù)分析

df_source.index

RangeIndex(start=0, stop=258, step=1)

df_source.shape

(258, 3)

total_row_count = df_source.shape[0]total_row_count

258

三、將一個(gè)大Excel等份拆成多個(gè)Excel

1.使用df.iloc方法，將一個(gè)大的dataframe，拆分成多個(gè)小dataframe2.將使用dataframe.to_excel保存每個(gè)小Excel

1、計(jì)算拆分后的每個(gè)excel的行數(shù)

# 這個(gè)大excel，會(huì)拆分給這幾個(gè)人user_names = ['xiao_shuai', 'xiao_wang', 'xiao_ming', 'xiao_lei', 'xiao_bo', 'xiao_hong']No output

# 每個(gè)人的任務(wù)數(shù)目split_size = total_row_count // len(user_names)if total_row_count % len(user_names) != 0: split_size += 1split_size

43

2、拆分成多個(gè)dataframe

df_subs = []for idx, user_name in enumerate(user_names): # iloc的開始索引 begin = idx*split_size # iloc的結(jié)束索引 end = begin+split_size # 實(shí)現(xiàn)df按照iloc拆分 df_sub = df_source.iloc[begin:end] # 將每個(gè)子df存入列表 df_subs.append((idx, user_name, df_sub))No output

3、將每個(gè)datafame存入excel

for idx, user_name, df_sub in df_subs: file_name = f'{splits_dir}/crazyant_blog_articles_{idx}_{user_name}.xlsx' df_sub.to_excel(file_name, index=False)No output四、合并多個(gè)小Excel到一個(gè)大Excel

1.遍歷文件夾，得到要合并的Excel文件列表2.分別讀取到dataframe，給每個(gè)df添加一列用于標(biāo)記來源3.使用pd.concat進(jìn)行df批量合并4.將合并后的dataframe輸出到excel

1. 遍歷文件夾，得到要合并的Excel名稱列表

import osexcel_names = []for excel_name in os.listdir(splits_dir): excel_names.append(excel_name)excel_names

[’crazyant_blog_articles_0_xiao_shuai.xlsx’, ’crazyant_blog_articles_1_xiao_wang.xlsx’, ’crazyant_blog_articles_2_xiao_ming.xlsx’, ’crazyant_blog_articles_3_xiao_lei.xlsx’, ’crazyant_blog_articles_4_xiao_bo.xlsx’, ’crazyant_blog_articles_5_xiao_hong.xlsx’]

2. 分別讀取到dataframe

df_list = []

for excel_name in excel_names: # 讀取每個(gè)excel到df excel_path = f'{splits_dir}/{excel_name}' df_split = pd.read_excel(excel_path) # 得到username username = excel_name.replace('crazyant_blog_articles_', '').replace('.xlsx', '')[2:] print(excel_name, username) # 給每個(gè)df添加1列，即用戶名字 df_split['username'] = usernamedf_list.append(df_split)

crazyant_blog_articles_0_xiao_shuai.xlsx xiao_shuaicrazyant_blog_articles_1_xiao_wang.xlsx xiao_wangcrazyant_blog_articles_2_xiao_ming.xlsx xiao_mingcrazyant_blog_articles_3_xiao_lei.xlsx xiao_leicrazyant_blog_articles_4_xiao_bo.xlsx xiao_bocrazyant_blog_articles_5_xiao_hong.xlsx xiao_hong

3. 使用pd.concat進(jìn)行合并

df_merged = pd.concat(df_list)No output

df_merged.shape

(258, 4)

df_merged.head()

id title tags username0 2585 Tensorflow怎樣接收變長(zhǎng)列表特征 python,tensorflow,特征工程 xiao_shuai1 2583 Pandas實(shí)現(xiàn)數(shù)據(jù)的合并concat pandas,python,數(shù)據(jù)分析 xiao_shuai2 2574 Pandas的Index索引有什么用途？ pandas,python,數(shù)據(jù)分析 xiao_shuai3 2564 機(jī)器學(xué)習(xí)常用數(shù)據(jù)集大全 python,機(jī)器學(xué)習(xí) xiao_shuai4 2561 一個(gè)數(shù)據(jù)科學(xué)家的修煉路徑 數(shù)據(jù)分析 xiao_shuai

df_merged['username'].value_counts()

xiao_hong 43xiao_bo 43xiao_shuai 43xiao_lei 43xiao_wang 43xiao_ming 43Name: username, dtype: int64

xiao_hong 43xiao_bo 43xiao_shuai 43xiao_lei 43xiao_wang 43xiao_ming 43Name: username, dtype: int64

4. 將合并后的dataframe輸出到excel

df_merged.to_excel(f'{work_dir}/crazyant_blog_articles_merged.xlsx', index=False)

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