Matplotlib is garbage

ld2dap/SaveFig.py

@@ -21,9 +21,11 @@ class SaveFig(Output):
 
     def _process(self, data, metadata):
         im_size = 2
-        plt.figure(figsize=(16*im_size,3*im_size))
-        plt.imshow(data[:,:,-1])
-        plt.colorbar()
+        fig = plt.figure(figsize=(16*im_size,3*im_size))
+        f1 = fig.add_subplot(111)
+        img = f1.imshow(data[:,:,-1])
+        plt.colorbar(img)
         if metadata is not None:
-            plt.title(metadata[-1])
-        plt.savefig(self.fname, bbox_inches=self.bbox_inches, pad_inches=self.pad_inches)
+            f1.set_title(metadata[-1])
+        fig.savefig(self.fname, bbox_inches=self.bbox_inches, pad_inches=self.pad_inches)
+        plt.close(fig)

ld2dap/ShowFig.py

@@ -0,0 +1,31 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file SaveFig.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 09 avril 2018
+#
+# TODO details
+
+from core import Output
+
+import matplotlib.pyplot as plt
+
+class ShowFig(Output):
+    def __init__(self, fname, bbox_inches='tight', pad_inches=1):
+        super().__init__(self.__class__.__name__)
+        self.fname       = fname
+        self.bbox_inches = bbox_inches
+        self.pad_inches  = pad_inches
+
+    def _process(self, data, metadata):
+        im_size = 2
+        fig = plt.figure(figsize=(16*im_size,3*im_size))
+        f1 = fig.add_subplot(111)
+        img = f1.imshow(data[:,:,-1])
+        plt.colorbar(img)
+        if metadata is not None:
+            f1.set_title(metadata[-1])
+        plt.show()
+        plt.close(fig)

ld2dap/Treshold.py

@@ -0,0 +1,23 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file Treshold.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 09 avril 2018
+#
+# TODO details
+
+from core import Filter
+
+class Treshold(Filter):
+    def __init__(self, treshold, max_value=None):
+        super().__init__(self.__class__.__name__)
+        self.treshold  = treshold
+        self.max_value = max_value #if max_value is not None else treshold
+
+    def _process(self, data, metadata):
+        if self.max_value is None:
+            self.max_value = data[data < self.treshold].max()
+
+        return data * (data < self.treshold) + self.max_value * (data >= self.treshold), metadata

ld2dap/test.py

@@ -12,18 +12,24 @@
 from LoadTIFF import LoadTIFF
 from AttributeProfiles import AttributeProfiles as APs
 from SaveFig import SaveFig
+from Treshold import Treshold
+from ShowFig import ShowFig
 
 import numpy as np
 
 def main():
     i = LoadTIFF(['../Data/test.tiff', '../Data/test.tiff'])
+    t = Treshold(1e4)
     ap = APs(np.array([100,1e3,1e4]))
     o = SaveFig('test.png')
+    s = ShowFig(None)
 
-    ap.input = i
+    t.input = i
+    ap.input = t
     o.input = ap
+    s.input = ap
 
-    o.run()
+    i.run()
 
 if __name__ == '__main__':
     main()