Google chrome aw snap out of memory when i try to load timestamp 43,200 data points

Hi everyone,
I am trying to load my sensor data on a plotly graph. The timestamp of data points is every 10 seconds getting 1 data point, so 60 seconds get 6 data points based on the timestamp. If I calculate 1 month of timestamp data it will be 43,200 data points.
when I selected 1 sensor to load 1-month data 43,200 data points, it worked fine.
But, if I try 3 sensors to load 1-month data 129,600 data points, it’s not worked fine.

I am getting this error when I try to load that kind of data.
the message is coming after a few minutes of load data.
I tried to reduce data points every minute with the pandas resample function df.resample(‘1T’).mean(). it’s not working with the parquet file, inversely if I try with the CSV file the resample mean() average function is working.

Could you help me please how could I load my data fast or is there any other function to get reduce my data points in minutes on a timestamp base?

Thank you in advance.

Best Regards,


Could you please open a support ticket via the “Contact Support” form in the dashboard, selecting the service you’re having an issue with?

Jérémy, Render Support

This topic was automatically closed 30 days after the last reply. New replies are no longer allowed.