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Python I want to implement a bootstrap method to get the 95% confidence intervals for a cumulative rate

T

TheMagicBean

New Coder
Hello, I basically have worked out a cumulative rate and have it as a pandas column, see attached below: The confidence bounds I want are for the column CumSum which was calculated from taking all individual rates (Rind ) so Cumsum[0] is the sum of all Rind from Rind[0] to Rind[1663] and CumSum[1] is the sum of Rind[1] to Rind[1663] and so on and so forth. The dcst module I tried to implement was more of a guess and baby steps because I really don't know how to get the confidence intervals for each of the Cumulative rates. Any help would be appreciated. I appreciate it might be a bit confusing as to what I might be talking about, my words can be messy so I'll be happy to clarify. Thanks
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