Load local data files to Colaboratory

I was a bit confused by the example for loading local files on first glance as there was no place to specify a file path. All you need to do is copy and paste the recipe to figure this out, but to be clear:

from google.colab import files
uploaded = files.upload()

will open an upload dialogue window where you can browse and select your local files for upload.

Then

for fn in uploaded.keys():
  print('User uploaded file "{name}" with length {length} bytes'.format(
      name=fn, length=len(uploaded[fn])))

will show you the keys to access what you just uploaded.

Edit for additional clarification: The dictionary uploaded will have keys of the selected filenames - so if for example you select a file my_test.txt, then you would access that file using uploaded['my_test.txt'].

Yes, all of these scenarios are supported.

For recipes to access local and Drive files, check out the I/O example notebook.

For access to xls files, you'll want to upload the file to Google Sheets. Then, you can use the gspread recipes in the same I/O example notebook.

A recently added way to upload local files is to use the 'Files' tab in the right hand side drawer.

From there, you can upload a local file using the 'upload' button.

(You can also download files by right clicking on them in the file tree.)

To load local data files to Colab:

Method 1: Google Drive Method

1. Upload data file from system memory to Google drive.

2. Mount Google drive in Colab

   from google.colab import drive drive.mount('/content/gdrive')

3. Then-> path = "/gdrive/My Drive/filename"

You can now access google drive files in Google Colab.

Method 2: Direct Load

from google.colab import files
def getLocalFiles():
    _files = files.upload()
    if len(_files) >0:
       for k,v in _files.items():
         open(k,'wb').write(v)
getLocalFiles()

Method 3: Using import files

from google.colab import files
uploaded = files.upload()

It's a 2 step process.

Step 1 : First invoke a file selector with in your colab notebook with the following code

from google.colab import files
uploaded = files.upload()

this will take you to a file browser window

step 2 : To load the content of the file into Pandas dataframe, use the following code

import pandas as pd
import io
df = pd.read_csv(io.StringIO(uploaded['iris.csv'].decode('utf-8')))
print(df)

To get data from your system to colab try this:

from google.colab import files
uploaded = files.upload()

Choose the file you want to upload and hit enter and its done. For example, I have uploaded an image and displayed it using the code below:

import cv2
import numpy as np
from matplotlib import pyplot as plt

img = cv2.imread('image.jpg')
img_cvt = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

plt.imshow(img_cvt)
plt.show()

You can use this URL for uploading your files in Google Colab:

https://colab.research.google.com/notebooks/io.ipynb#scrollTo=vz-jH8T_Uk2c

go to Local file system>Downloading files to your local file system Then run the code. After that, browser button will be appeared for you to uploading your files from your PC.