Pandas reading multiple files from different folders

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I have the same file with quarterly data saved in different folders corresponding to the quarter. In other words, a quarter 1 folder, quarter 2 , quarter 3, quarter 4. This is the only difference in the file path. I am looking to read all four files in and concatenate them into one database. I can do this manually using a version of the simplified code below and changing the period each time.

period = ‘Q1’

filepath = ‘filepath/’ + period

file = filepath + ‘/file.xls’

df = pd.read_excel(file)

I would like to automate it with some form of for loop (I assume). That loops through the 4 periods, reads the file into a database and then concatenates. I have read other answers as to how this can be done with files in the same folder. But am struggling to do it where the file path changes. Manually putting the files into the same folder is not a desirable solution.

I tried making period a tuple and a list containing all 4 periods then a simple for loop but this didn’t work. I got the following error message.

TypeError: Can't convert 'list' object to str implicitly

Greatly appreciate any advice.


How about you first use list comprehension to get a list of all files:

periods= ["Q1", "Q2", "Q3", "Q4"]
files = ["filepath/"+ p + "/file.xls" for p in periods]

and then load them all into a list of data frames with

dfs = []
for f in files:
    df = pd.read_excel(f)
    dfs.append(df)

How to read multiple images from multiple folders in python, How do I read multiple files from multiple folders in Python? Suppose you have data stored in different files on daily basis. You want to read thses files into python dataframes and concatenate those frames into a single dataframe later. In such situation, you can use glob function to find files based on pattern. We can use various Wildcards to specify a pattern we are looking for.


You can use these loops to create full file paths and to iterate over them to create one DataFrame containing all the files.

filepath = 'path/'
file = 'file.xlsx'
periods=['Q1','Q2','Q3','Q4']

files = []
for p in periods:
    files.append(filepath+p+'/'+file)
files

data = []
for f in files:
    data.append(pd.read_excel(f))

df = pd.concat(data)

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You probably want something like this:

periods = ['Q1', 'Q2', 'Q3', 'Q4']

df = None
for period in periods:
    filepath = 'filepath/' + period
    file = filepath + '/file.xls'
    if df is None:
        df = pd.read_excel(file)
    else:
        df.append(pd.read_excel(file))

Elegantly Reading Multiple CSVs Into Pandas - Kade Killary, How do I read multiple CSV files from a directory in Python? I have yearly data files in different folders. each file contains daily data ranging from Jan 1 to Dec 31. Data files name is looks like AS060419.67 where last four digit represent year i.e. 1967 and 0604 is folder name. I tried to read these multiple files by using the code (below), but it reads only for last year data in last folder


You could try something like this:

complete_df = pd.DataFrame()
for i in range(1,5):
  quarter = 'Q'+str(i)
  filepath = 'filepath/' + quarter
  file = filepath + '/file.xls'
  df = pd.read_excel(file)
  complete_df = complete_df.append(df)

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Working with many files in pandas, How do I load CSV file into Amazon Reshift using Python? 4,037 Views. Other Answers. Using pandas DataFrames to process data from multiple replicate runs in Python Randy Olson Posted on June 26, 2012 Posted in python , statistics , tutorial Per a recommendation in my previous blog post , I decided to follow up and write a short how-to on how to use pandas to process data from multiple replicate runs in Python.


HOW TO READ MULTIPLE FILES USING PYTHON PANDAS , Working with many files in pandas. Dealing with You can use relative paths to use files not in your current notebook directory. Usually Reading in many files. In the first section, we will go through, with examples, how to read an Excel file, how to read specific columns from a spreadsheet, how to read multiple spreadsheets and combine them to one dataframe, how to read many Excel files, and, finally, how to convert data according to specific datatypes (e.g., using Pandas dtypes).


pandas-multi · PyPI, Thank you soooo much for this. How can files from multiple folder be read?Duration: 4:41 Posted: 5 Oct 2018 Pandas functions for reading the contents of files are named using the pattern .read_<file-type>(), where <file-type> indicates the type of the file to read. You’ve already seen the Pandas read_csv() and read_excel() functions.