Fixing the KernelNotResponding: The kernel died unexpectedly error
Issue description
When working with CSV files, you get this error:
KernelNotResponding: The kernel died unexpectedly
Solution
Try reading the first several dozen lines from a CSV file. Use pandas.read_csv and specify the additional nrows parameter to determine the number of rows in nrows format. You can also read only the columns you need from the CSV file: index_col or names.
After loading the fragment, you can set the footprint in RAM as follows: df.memory_usage(deep=True).sum(). This will help you define the node configuration.
For more information about the RAM amount per configuration, see our guide.
Note
DataSphere can access configurations g1.1 and higher upon switching to paid consumption and topping up the account by at least 500 rubles.
After switching to paid consumption, any active grants will be applied first towards payment for resources. We will only start debiting your account after your grant balance is used up or has expired.