A holistic microclimate model

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apps:datastudio:comparescenarioscriptdetails [2022/01/11 10:24] – freddiapps:datastudio:comparescenarioscriptdetails [2022/01/11 10:32] – freddi
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 Now the timespteps match again. Otherwise you would compare different timesteps. Now the timespteps match again. Otherwise you would compare different timesteps.
  
 +== Advanced Settings ==
 +
 +There is the option that you compare maximum or minimum values instead of the mean values. To do so, change lines 133 - 139 (in current script version) as follows:
 += Mean vallues (default) =
 +<code python>
 +#vals1 = (np.nanmin(data1, axis=1), "Min.")
 +#vals1 = (np.nanmax(data1, axis=1), "Max.")
 +vals1 = (np.nanmean(data1, axis=1), "Mean")
 +
 +#vals2 = (np.nanmin(data2, axis=1), "Min.")
 +#vals2 = (np.nanmax(data2, axis=1), "Max.")
 +vals2 = (np.nanmean(data2, axis=1), "Mean")
 +</code>
 +
 += Maximum values =
 +<code python>
 +#vals1 = (np.nanmin(data1, axis=1), "Min.")
 +vals1 = (np.nanmax(data1, axis=1), "Max.")
 +#vals1 = (np.nanmean(data1, axis=1), "Mean")
 +
 +#vals2 = (np.nanmin(data2, axis=1), "Min.")
 +vals2 = (np.nanmax(data2, axis=1), "Max.")
 +#vals2 = (np.nanmean(data2, axis=1), "Mean")
 +</code>
 +
 += Minimum values = 
 +<code python>
 +vals1 = (np.nanmin(data1, axis=1), "Min.")
 +#vals1 = (np.nanmax(data1, axis=1), "Max.")
 +#vals1 = (np.nanmean(data1, axis=1), "Mean")
 +
 +vals2 = (np.nanmin(data2, axis=1), "Min.")
 +#vals2 = (np.nanmax(data2, axis=1), "Max.")
 +#vals2 = (np.nanmean(data2, axis=1), "Mean")
 +</code>
  
 === Output === === Output ===