In this article, we will see how to read all CSV files in a folder into single Pandas dataframe. The task can be performed by first finding all CSV files in a particular folder using glob() method and then reading the file by using pandas.read_csv() method and then displaying the content.
Approach:
- Import necessary python packages like pandas, glob, and os.
- Use glob python package to retrieve files/pathnames matching a specified pattern i.e. ‘.csv’
- Loop over the list of csv files, read that file using pandas.read_csv().
- Convert each csv file into a dataframe.
- Display its location, name, and content.
Below is the implementation.
Python3
# import necessary librariesimport pandas as pdimport osimport glob # use glob to get all the csv files # in the folderpath = os.getcwd()csv_files = glob.glob(os.path.join(path, "*.csv")) # loop over the list of csv filesfor f in csv_files: # read the csv file df = pd.read_csv(f) # print the location and filename print('Location:', f) print('File Name:', f.split("\\")[-1]) # print the content print('Content:') display(df) print() |
Output:
Note: The program reads all CSV files in the folder in which the program itself is present.
