In Google collab I get IOPub data rate exceeded

Question

IOPub data rate exceeded. The notebook server will temporarily stop sending output to the client in order to avoid crashing it. To change this limit, set the config variable --NotebookApp.iopub_data_rate_limit.

Current values:

NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)

Answer 1

An IOPub error usually occurs when you try to print a large amount of data to the console. Check your print statements - if you're trying to print a file that exceeds 10MB, its likely that this caused the error. Try to read smaller portions of the file/data.

I faced this issue while reading a file from Google Drive to Colab. I used this link https://colab.research.google.com/notebook#fileId=/v2/external/notebooks/io.ipynb and the problem was in this block of code

# Download the file we just uploaded.
#
# Replace the assignment below with your file ID
# to download a different file.
#
# A file ID looks like: 1uBtlaggVyWshwcyP6kEI-y_W3P8D26sz
file_id = 'target_file_id'

import io
from googleapiclient.http import MediaIoBaseDownload

request = drive_service.files().get_media(fileId=file_id)
downloaded = io.BytesIO()
downloader = MediaIoBaseDownload(downloaded, request)
done = False
while done is False:
  # _ is a placeholder for a progress object that we ignore.
  # (Our file is small, so we skip reporting progress.)
  _, done = downloader.next_chunk()

downloaded.seek(0)

#Remove this print statement
#print('Downloaded file contents are: {}'.format(downloaded.read()))

I had to remove the last print statement since it exceeded the 10MB limit in the notebook - print('Downloaded file contents are: {}'.format(downloaded.read()))
Your file will still be downloaded and you can read it in smaller chunks or read a portion of the file.

Answer 2

The above answer is correct, I just commented the print statement and the error went away. just keeping it here so someone might find it useful. Suppose u are reading a csv file from google drive just import pandas and add pd.read_csv(downloaded) it will work just fine.

file_id = 'FILEID'

import io
from googleapiclient.http import MediaIoBaseDownload

request = drive_service.files().get_media(fileId=file_id)
downloaded = io.BytesIO()
downloader = MediaIoBaseDownload(downloaded, request)
done = False
while done is False:
  # _ is a placeholder for a progress object that we ignore.
  # (Our file is small, so we skip reporting progress.)
  _, done = downloader.next_chunk()

downloaded.seek(0)
pd.read_csv(downloaded);