From cd59846b19fa5f7214f32bbe33435cf9e51116af Mon Sep 17 00:00:00 2001
From: dave <dave@dtu.dk>
Date: Thu, 30 Jun 2016 15:45:27 +0200
Subject: [PATCH] prepost.misc: add hist_centers2edges convenience method
---
wetb/prepost/misc.py | 21 +++++++++++++++++++++
1 file changed, 21 insertions(+)
diff --git a/wetb/prepost/misc.py b/wetb/prepost/misc.py
index b0bd7498..1d3b3aff 100644
--- a/wetb/prepost/misc.py
+++ b/wetb/prepost/misc.py
@@ -769,6 +769,13 @@ def check_df_dict(df_dict):
"""
Verify if the dictionary that needs to be transferred to a Pandas DataFrame
makes sense
+
+ Returns
+ -------
+
+ collens : dict
+ Dictionary with df_dict keys as keys, len(df_dict[key]) as column.
+ In other words: the length of each column (=rows) of the soon to be df.
"""
collens = {}
for col, values in df_dict.items():
@@ -978,6 +985,20 @@ def histfit(hist, bin_edges, xnew):
return shape_out, scale_out, pdf_fit
+def hist_centers2edges(centers):
+ """Given the centers of bins, return its edges and bin widths.
+ """
+
+ binw_c = centers[1:] - centers[:-1]
+ edges = np.ndarray((len(centers)+1,))
+ edges[0] = centers[0] - binw_c[0]/2.0
+ edges[-1] = centers[-1] + binw_c[-1]/2.0
+ edges[1:-1] = centers[1:] - binw_c/2.0
+ binw_e = edges[1:] - edges[:-1]
+
+ return edges, binw_e
+
+
def df_dict_check_datatypes(df_dict):
"""
there might be a mix of strings and numbers now, see if we can have
--
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