I'm currently using Google Colab and already mounted my Google Drive. I have a folder inside the drive that has multiple .csv files
e.g. folder name: dataset
folder content: data1.csv, data2.csv, data3.csv
, and so on
I want to iterate through every file in the folder, then make the file a function parameter
Here's my code but still didn't work
from google.colab import drive
drive.mount('/content/drive/')
def myfunction(data):
###function detail here###
dir = '/content/drive/dataset'
for files in dir:
myfunction(pd.read_csv('filename'))
Thank you
CodePudding user response:
You have to iterate over files using a function like os.listdir
. Here's an example that uses this function and defensively checks that what is read is a csv
file. I've used Google Colab's sample_data
folder so that the code is reproducible; you will need to change the dir
variable to point to your Google Drive folder.
import pandas as pd
import os
def myfunction(data):
print(data)
dir = 'sample_data'
for file in os.listdir(dir):
if file.endswith(".csv"):
myfunction(file)