Merge branch 'dev' of https://github.com/TheBridgeMachineLearningPythonLibrary/MachineLearningToolKit into dev

Author: RamonFCerezo

test/test_convert_to_numeric.py

@@ -1,5 +1,5 @@
 import pandas as pd
-from to_numeric import convert_to_numeric
+from toolkit.data_processing import convert_to_numeric
 
 def test_convert_to_numeric():
 
@@ -9,4 +9,4 @@ def test_convert_to_numeric():
     convert_to_numeric(df, 'A')
 
 
-    assert df['A'][0],int
+    assert df['A'][0],int

test/test_heatmap_corr.py

@@ -2,12 +2,12 @@
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd
-from heatmap_corr import heatmap
+from toolkit.plot import heatmap
 
 def test_heatmap():
     df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9], 'target': [10, 20, 30]})
 
     heatmap(df, 2, 'target', None)
 
 
-    
+    

test/test_scrap.py

@@ -7,7 +7,7 @@
 import time
 import io
 from PIL import Image
-from scrap import image_scrap
+from toolkit.machine_learning import image_scrap
 import shutil
 
 
@@ -21,4 +21,4 @@ def test_image_scrap():
     assert os.path.exists(download_dir)
     assert len(os.listdir(download_dir)) == n
 
-    shutil.rmtree(download_dir) 
+    shutil.rmtree(download_dir) 

test/test_sunburst.py

@@ -1,4 +1,4 @@
-from sunburst import sunburst
+from toolkit.plot import sunburst
 import plotly.graph_objs as go
 import plotly.express as px
 
@@ -12,4 +12,4 @@ def test_sunburst():
 
     assert fig.layout.title.text == 'My Sunburst Chart'
     assert fig.layout.width == 800
-    assert fig.layout.height == 600
+    assert fig.layout.height == 600