calculate303dAssessment.py
| @@ -603,7 +603,7 @@ |
| ): # finds instances where the number of J flags samples exceeds how many are used to calculate a percentile |
| for key in displaySummary: |
| if ( |
| - displaySummary[key]["Summary Stat."] not in ["geomean", "DMs", "DMw", "avg"] |
| + displaySummary[key]["Summary Stat."] not in ["geomean", "DMs", "DMw", "avg", "NA"] |
| and displaySummary[key]["J Flag"] > 0 |
| ): |
| # check chronic sample size |
| @@ -5685,6 +5685,14 @@ |
| displaySummary[key]["Summary Stat."] = self.AmbientStat(Pctcount, 0.85) # DisMat(13, 51) = AmbientStat(Pctcount, 0.85) |
| # End if |
| |
| + # Catch for any null stats which have too few/many samples to be present in the AmbientStat table lookup, tcw |
| + if displaySummary[key]["Summary Stat."] == "NA-min": |
| + displaySummary[key]["Summary Stat."] = "NA" |
| + displaySummary[key]["Status"] = "Too few samples to assess because ambient standard applies" |
| + if displaySummary[key]["Summary Stat."] == "NA-max": |
| + displaySummary[key]["Summary Stat."] = "NA" |
| + displaySummary[key]["Status"] = "Too many samples to assess because ambient standard applies" |
| + |
| # RePreserve paraArray(Pctcount) #trims blanks off bottom of array |
| pctanswer = 0 |
| if Pctcount > 1 and self.checkNumeric( |
| @@ -12981,6 +12989,11 @@ |
| return row[3] # AmbientStat = Worksheets("ambient table").Cells(L1, 4).Value |
| # End if |
| # Next L1 |
| + |
| + if SampleSize < 5: |
| + return "NA-min" |
| + if SampleSize > 100: |
| + return "NA-max" |
| return None |
| |
| def RationaleControl(self, displaySummary, flagSummary): |