如何通过循环将CSV负载导入不同的python数据帧？

我有很多csv文件。我想创建一个允许我这样做的循环

    df_20180731 = pd.read_csv('path/cust_20180731.csv')

大约36个文件中的每一个

我的档案是df_20160131，df_20160231。。。。。。df_20181231等基本上在月底前确定日期

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谢谢

您可以这样做：

import glob
import pandas as pd

datasets = {}
for file in glob.glob('path/df_*'):
    datasets[file] = pd.read_csv(file)

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你可以这样做：

import glob
import pandas as pd

datasets = {}
for file in glob.glob('path/df_*'):
    datasets[file] = pd.read_csv(file)

os.listdirpath生成列表，然后迭代获取数据帧列表。listdirpath生成列表，然后迭代获取数据帧列表

import os
import pandas as pd

# get a list of all the files in the directory
files = os.listdir(<path of the directory containing all the files>)

#iterate over all the files and store it in a dictionary 
dataframe = {file: pd.read_csv(file)  for file in files}

#if the directory must contain other files, 
#you can check the file paths with any logic(extension etc.), in that case


def logic(fname):
  return  '.csv' in fname

dataframe = {file: pd.read_csv(file)  for file in files if logic(file) }
#this will create a dictionary of file : dataframe_objects 

I hope it helps