From cac829ed9632fce7c88d3e0e12f52b90ae2c6e99 Mon Sep 17 00:00:00 2001
From: pswain <peter.swain@ed.ac.uk>
Date: Thu, 9 May 2024 16:47:15 +0100
Subject: [PATCH] change: renamed butterfilter to butterworth
---
src/wela/{butterfilter.py => butterworth_filter.py} | 2 +-
src/wela/plotting.py | 6 +++---
2 files changed, 4 insertions(+), 4 deletions(-)
rename src/wela/{butterfilter.py => butterworth_filter.py} (96%)
diff --git a/src/wela/butterfilter.py b/src/wela/butterworth_filter.py
similarity index 96%
rename from src/wela/butterfilter.py
rename to src/wela/butterworth_filter.py
index 7322a9d..a9e100b 100644
--- a/src/wela/butterfilter.py
+++ b/src/wela/butterworth_filter.py
@@ -2,7 +2,7 @@ import numpy as np
from scipy import signal
-def butterfilter(timeseries, params=None):
+def butterworth_filter(timeseries, params=None):
"""Apply Butterworth filter to time series arranged in rows."""
# second-order-sections output
# by default, using a digital filter
diff --git a/src/wela/plotting.py b/src/wela/plotting.py
index 0d9de10..99189d9 100644
--- a/src/wela/plotting.py
+++ b/src/wela/plotting.py
@@ -4,7 +4,7 @@ import matplotlib.cm
import matplotlib.pylab as plt
import numpy as np
import numpy.matlib
-from wela.butterfilter import butterfilter
+from wela.butterworth_filter import butterworth_filter
def kymograph(
@@ -571,7 +571,7 @@ def bud_to_bud_plot(
title: str, optional
Title for plot.
filter: boolean
- If True, apply a butter filter to each time series.
+ If True, apply a butterworth filter to each time series.
Example
-------
@@ -585,7 +585,7 @@ def bud_to_bud_plot(
t, signal_data = dl.get_time_series(signal, group=group, df=df)
t, buddings = dl.get_time_series("buddings", group=group, df=df)
if filter:
- signal_data = butterfilter(signal_data)
+ signal_data = butterworth_filter(signal_data)
if np.max(t) > 48:
# convert to hours
t = t / 60
--
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