将数据框字典合并为1个单个数据框 [英] Combine dictionary of dataframes into 1 single dataframe

问题描述

我正在寻找一种解决方案，将字典中的所有数据帧都放入一个单一的巨型数据帧中.我是Python的新手，所以我无法理解如何遍历字典并将所有数据帧放入1.到目前为止，我已实现的代码如下:

I am looking for a solution to put all my dataframes which are in a dictionary into 1 single giant dataframe. I am relatively new to Python so I am unable to understand how to iterate over a dictionary and put all the dataframes into 1. The code I have implemented so far, is as below:

import sys
from ftplib import FTP
import os
import socket
import time
import pandas as pd
import numpy as np
from glob import glob

path = 'path_to_file'

files = glob(path + '/*Mail*.xlsx')

print files

get_df = lambda f: pd.read_excel(f, sheetname=None)

dodf = {f: get_df(f) for f in files}  ### dictionary of dataframes

现在，我需要将所有不同的数据帧放入1个数据帧中，然后对它进行操作.任何建议将不胜感激.

Now, I need to put all the different dataframes into 1 dataframe and then do my operations on that. Any advise would be appreciated.

我已经尝试过了

for df in dodf:
pd.concat(dodf.values(), ignore_index=True)

但这似乎行不通.

推荐答案

我认为需要 concat ，具有dict理解:

I think need concat with dict comprehension:

dodf = {f: pd.read_excel(f, sheet_name=None) for f in files}
df = pd.concat([pd.concat(v) for k,v in dodf.items()])

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