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)Excel
2.將多個(gè)小Excel合并成一個(gè)大Excel并標(biāo)記來(lái)源
work_dir="./course_datas/c15_excel_split_merge"
splits_dir=f"{work_dir}/splits"
import os
if not os.path.exists(splits_dir):
os.mkdir(splits_dir)
二、讀取源Excel到Pandas
import pandas as pd
No output
df_source = pd.read_excel(f"{work_dir}/crazyant_blog_articles_source.xlsx")
No output
id title tags
0 2585 Tensorflow怎樣接收變長(zhǎng)列表特征 python,tensorflow,特征工程
1 2583 Pandas實(shí)現(xiàn)數(shù)據(jù)的合并concat pandas,python,數(shù)據(jù)分析
2 2574 Pandas的Index索引有什么用途？ pandas,python,數(shù)據(jù)分析
3 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)
4 2561 一個(gè)數(shù)據(jù)科學(xué)家的修煉路徑 數(shù)據(jù)分析
RangeIndex(start=0, stop=258, step=1)
(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dataframe
2.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 += 1
split_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(lái)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 os
excel_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"] = username
df_list.append(df_split)
crazyant_blog_articles_0_xiao_shuai.xlsx xiao_shuai
crazyant_blog_articles_1_xiao_wang.xlsx xiao_wang
crazyant_blog_articles_2_xiao_ming.xlsx xiao_ming
crazyant_blog_articles_3_xiao_lei.xlsx xiao_lei
crazyant_blog_articles_4_xiao_bo.xlsx xiao_bo
crazyant_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
(258, 4)
id title tags username
0 2585 Tensorflow怎樣接收變長(zhǎng)列表特征 python,tensorflow,特征工程 xiao_shuai
1 2583 Pandas實(shí)現(xiàn)數(shù)據(jù)的合并concat pandas,python,數(shù)據(jù)分析 xiao_shuai
2 2574 Pandas的Index索引有什么用途？ pandas,python,數(shù)據(jù)分析 xiao_shuai
3 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_shuai
4 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 43
xiao_bo 43
xiao_shuai 43
xiao_lei 43
xiao_wang 43
xiao_ming 43
Name: 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)
到此這篇關(guān)于利用python Pandas實(shí)現(xiàn)批量拆分Excel與合并Excel的文章就介紹到這了,更多相關(guān)Pandas批量拆分Excel與合并Excel內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！
您可能感興趣的文章:- 對(duì)numpy和pandas中數(shù)組的合并和拆分詳解
- Pandas數(shù)據(jù)分析之批量拆分/合并Excel
