From 3fd3ecfacaf912de78e692ab74e036a67c09b19a Mon Sep 17 00:00:00 2001 From: Ana Ordonez Date: Thu, 16 May 2024 16:48:47 -0700 Subject: [PATCH] reapply nan fix --- pcmdi_metrics/sea_ice/sea_ice_driver.py | 35 +++++++++---------------- 1 file changed, 13 insertions(+), 22 deletions(-) diff --git a/pcmdi_metrics/sea_ice/sea_ice_driver.py b/pcmdi_metrics/sea_ice/sea_ice_driver.py index 741847964..b62da14c6 100644 --- a/pcmdi_metrics/sea_ice/sea_ice_driver.py +++ b/pcmdi_metrics/sea_ice/sea_ice_driver.py @@ -228,14 +228,14 @@ end_year = meyear real_clim = { - "arctic": {"model_mean": None}, - "ca": {"model_mean": None}, - "na": {"model_mean": None}, - "np": {"model_mean": None}, - "antarctic": {"model_mean": None}, - "sp": {"model_mean": None}, - "sa": {"model_mean": None}, - "io": {"model_mean": None}, + "arctic": {"model_mean": {}}, + "ca": {"model_mean": {}}, + "na": {"model_mean": {}}, + "np": {"model_mean": {}}, + "antarctic": {"model_mean": {}}, + "sp": {"model_mean": {}}, + "sa": {"model_mean": {}}, + "io": {"model_mean": {}}, } real_mean = { "arctic": {"model_mean": 0}, @@ -373,16 +373,7 @@ # Running sum of all realizations for rgn in clims: real_clim[rgn][run] = clims[rgn] - if real_clim[rgn]["model_mean"] is None: - real_clim[rgn]["model_mean"] = clims[rgn] - else: - real_clim[rgn]["model_mean"][var] = ( - real_clim[rgn]["model_mean"][var] + clims[rgn][var] - ) real_mean[rgn][run] = means[rgn] - real_mean[rgn]["model_mean"] = ( - real_mean[rgn]["model_mean"] + means[rgn] - ) print("\n-------------------------------------------") print("Calculating model regional average metrics \nfor ", model) @@ -390,12 +381,12 @@ for rgn in real_clim: print(rgn) # Get model mean - real_clim[rgn]["model_mean"][var] = real_clim[rgn]["model_mean"][ - var - ] / len(list_of_runs) - real_mean[rgn]["model_mean"] = real_mean[rgn]["model_mean"] / len( - list_of_runs + datalist = [real_clim[rgn][r][var].data for r in list_of_runs] + real_clim[rgn]["model_mean"][var] = np.nanmean( + np.array(datalist), axis=0 ) + datalist = [real_mean[rgn][r] for r in list_of_runs] + real_mean[rgn]["model_mean"] = np.nanmean(np.array(datalist)) for run in real_clim[rgn]: # Set up metrics dictionary