From d5217f22246ad3aa81f4bfd0c6fed77d59172b92 Mon Sep 17 00:00:00 2001
From: Philipp Oleynik <pholey@utu.fi>
Date: Thu, 28 Apr 2022 11:36:38 +0300
Subject: [PATCH] removed usage of the geometric_mean function native to Python
3.9 to run on clusters with old Python.
---
bowtie.py | 7 ++-----
1 file changed, 2 insertions(+), 5 deletions(-)
diff --git a/bowtie.py b/bowtie.py
index 3081e75..582ceb0 100644
--- a/bowtie.py
+++ b/bowtie.py
@@ -15,7 +15,6 @@ import matplotlib.colors as clr
import matplotlib.pyplot as plt
import numpy as np
import plotutil as plu
-from statistics import geometric_mean
def make_energy_grid(*, channels_per_decade=256, min_energy=0.01, max_energy=1.0E5):
@@ -292,10 +291,8 @@ def calculate_bowtie_gf(response_data,
except ValueError:
channel_energy_high = 0
- # gf = np.mean(multi_geometric_factors_usable, axis = 0) # Average geometric factor for all model spectra
- # gf_cross = gf[bowtie_cross_index] # The mean geometric factor for the bowtie crossing point
+ gf = np.mean(multi_geometric_factors_usable, axis = 0) # Average geometric factor for all model spectra
+ gf_cross = gf[bowtie_cross_index] # The mean geometric factor for the bowtie crossing point
- gf_cross = geometric_mean(multi_geometric_factors_usable[:, bowtie_cross_index])
energy_cross = energy_grid_local[bowtie_cross_index]
-
return gf_cross, energy_cross, channel_energy_low, channel_energy_high
--
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