html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6317#issuecomment-1057116313,https://api.github.com/repos/pydata/xarray/issues/6317,1057116313,IC_kwDOAMm_X84_AlCZ,39069044,2022-03-02T16:24:37Z,2022-03-02T16:24:37Z,CONTRIBUTOR,"These errors can often be eliminated by passing appropriate initial guesses for each parameter through the `p0` argument (which it looks like you're already doing), and/or by passing additional kwargs through to `scipy.optimize.leastsq()`, like `ftol` and `maxfev` which set the fit tolerance and max number of iterations. 

Even so, there will be cases where some of your data just doesn't fit the desired function and you want to move on and return a result anyway. Your proposal seems fine as long as errors are raised by default and the documentation adequately describes the behavior when set to True.","{""total_count"": 5, ""+1"": 5, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1157140667