From f5d94caa1c44f948186d4a192636d4bf33b32ee6 Mon Sep 17 00:00:00 2001
From: lukas leufen <l.leufen@fz-juelich.de>
Date: Thu, 12 Dec 2019 14:41:10 +0100
Subject: [PATCH] new function to apply inverse transformation for given mean
and std (if required)
---
src/statistics.py | 12 ++++++++++++
1 file changed, 12 insertions(+)
diff --git a/src/statistics.py b/src/statistics.py
index 060081de..6f34187e 100644
--- a/src/statistics.py
+++ b/src/statistics.py
@@ -9,6 +9,18 @@ from typing import Union, Tuple
Data = Union[xr.DataArray, pd.DataFrame]
+def apply_inverse_transformation(data, mean, std=None, method="standardise"):
+ if method == 'standardise':
+ return standardise_inverse(data, mean, std)
+ elif method == 'centre':
+ return centre_inverse(data, mean)
+ elif method == 'normalise':
+ # use min/max of data or given min/max
+ raise NotImplementedError
+ else:
+ raise NotImplementedError
+
+
def standardise(data: Data, dim: Union[str, int]) -> Tuple[Data, Data, Data]:
"""
This function standardises a xarray.dataarray (along dim) or pandas.DataFrame (along axis) with mean=0 and std=1
--
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