update caerus version installer

Author: erdogant

findpeaks/__init__.py

@@ -37,7 +37,7 @@
 
 __author__ = 'Erdogan Tasksen'
 __email__ = 'erdogant@gmail.com'
-__version__ = '2.7.4'
+__version__ = '2.7.5'
 
 
 # module level doc-string

findpeaks/examples.py

@@ -9,7 +9,19 @@
 import matplotlib.pyplot as plt
 # from findpeaks import findpeaks
 
-# %%
+# Import library
+from findpeaks import findpeaks
+# Initialize findpeaks with cearus method.
+# The default setting is that it only return peaks-vallyes with at least 5% difference. We can change this using params
+# fp = findpeaks(method='caerus',  params={'minperc': 10, 'window': 50})
+fp = findpeaks(method='caerus')
+# Import example data
+X = fp.import_example('facebook')
+# Fit
+results = fp.fit(X)
+# Make the plot
+fp.plot()
+
 
 # %%
 # Import library
@@ -247,18 +259,6 @@
 
 
 # %%
-# Import library
-from findpeaks import findpeaks
-# Initialize findpeaks with cearus method.
-# The default setting is that it only return peaks-vallyes with at least 5% difference. We can change this using params
-# fp = findpeaks(method='caerus',  params={'minperc': 10, 'window': 50})
-fp = findpeaks(method='caerus')
-# Import example data
-X = fp.import_example('facebook')
-# Fit
-results = fp.fit(X)
-# Make the plot
-fp.plot()
 
 # %%
 from findpeaks import findpeaks

findpeaks/findpeaks.py

@@ -1740,7 +1740,7 @@ def import_example(data='2dpeaks', url=None, sep=';', datadir=None):
         # X = np.c_[x, y]
         return y
     elif (data == 'btc') or (data == 'facebook'):
-        cs = caerus(verbose='info')
+        cs = caerus(verbose=get_logger())
         X = cs.download_example(name=data)
         return X
     else:

pyproject.toml

@@ -47,10 +47,11 @@ dependencies = [
     'pandas',
     'tqdm',
     'requests',
-    'caerus>=0.1.9',
+    'caerus>=1.0.1',
     'xarray',
     'joblib',
     'adjustText',
+    'opencv-python-headless',
     ]
 
 [project.urls]

requirements.txt

@@ -4,7 +4,8 @@ numpy
 pandas
 tqdm
 requests
-caerus>=0.1.9
+caerus>=1.0.0
 xarray
 joblib
 adjustText
+opencv-python-headless