2.4.1

findpeaks/__init__.py

@@ -18,7 +18,7 @@
 
 __author__ = 'Erdogan Tasksen'
 __email__ = '[email protected]'
-__version__ = '2.4.0'
+__version__ = '2.4.1'
 
 # module level doc-string
 __doc__ = """

findpeaks/examples.py

@@ -6,10 +6,25 @@
 # print(findpeaks.__version__)
 
 # pip install opencv-python
-import matplotlib.pyplot as plt
+# import matplotlib.pyplot as plt
+# from findpeaks import findpeaks
+
+# %% issue #12
+# https://github.com/erdogant/findpeaks/issues/12
+import numpy as np
+
+X = np.sin(np.linspace(0, 1, 100))
 from findpeaks import findpeaks
+fp = findpeaks(method='caerus', params_caerus={'window': 50, 'minperc': 3, 'nlargest': 10, 'threshold': 0.25})
+results = fp.fit(X)
 
-# %%
+from caerus import caerus
+cs = caerus(window=50, threshold=0.25, minperc=10, nlargest=10)
+cs.fit(X, verbose=3)
+cs.plot()
+
+
+# %% Issue 
 from findpeaks import findpeaks
 fp = findpeaks(method="mask", denoise=None, window=3, limit=None, verbose=0)
 X = fp.import_example("2dpeaks_image")
@@ -60,7 +75,7 @@
 # results['df']
 fp.plot()
 fp.plot_persistence()
-fp.plot_mesh(view=(90,0))
+fp.plot_mesh(view=(90, 0))
 
 
 # %%

findpeaks/findpeaks.py

@@ -18,11 +18,10 @@
 import requests
 from urllib.parse import urlparse
 
-# import sys
-# fpath = os.path.join(os.path.dirname(__file__), 'utils')
-# print(fpath)
-# if not np.isin(fpath, sys.path): sys.path.append(fpath)
-# sys.path.append(fpath)
+# import stats as stats
+# from stats import disable_tqdm
+# import interpolate as interpolate
+
 import findpeaks.stats as stats
 from findpeaks.stats import disable_tqdm
 import findpeaks.interpolate as interpolate

findpeaks/stats.py

@@ -13,6 +13,13 @@
 from findpeaks.filters.frost import frost_filter
 from findpeaks.filters.median import median_filter
 from findpeaks.filters.mean import mean_filter
+# import union_find as union_find
+# from filters.lee import lee_filter
+# from filters.lee_enhanced import lee_enhanced_filter
+# from filters.kuan import kuan_filter
+# from filters.frost import frost_filter
+# from filters.median import median_filter
+# from filters.mean import mean_filter
 
 from scipy.ndimage.morphology import generate_binary_structure, binary_erosion
 from scipy.ndimage.filters import maximum_filter