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

Author: celiacnavarro

test/test_last_columndf.py

@@ -0,0 +1,38 @@
+
+
+from toolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
+from toolkit.data_analysis import *
+from toolkit.machine_learning import *
+from toolkit.plot import *
+
+import pandas as pd
+import numpy as pd
+import pytest
+
+
+@pytest.fixture
+
+
+def test_data():
+
+    df = pd.DataFrame({'a':['1','2','3','4'], 
+                   'b': [16,7,6,16],
+                   'c':[61,57,16,36],
+                   'd':['12','22','13','44'],
+                   'e':['Green','Red','Blue','Yellow'],
+                   'f':[1,11,23,66]})
+    list_features=df.columns.to_list()
+    feature=list_features[0]
+    return df,feature
+
+
+def test_last_columndf(test_data):
+    df,feature=test_data()
+    df=last_columndf(df,feature)
+    list_features=df.columns.to_list()
+    feature=list_features[-1]
+
+    assert feature == 'a'
+
+
+

test/test_list_categorical_columns.py

@@ -0,0 +1,37 @@
+
+
+from toolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
+from toolkit.data_analysis import *
+from toolkit.machine_learning import *
+from toolkit.plot import *
+
+import pandas as pd
+import numpy as pd
+import pytest
+
+
+@pytest.fixture
+
+
+def test_data():
+
+    df = pd.DataFrame({'a':['1','2','3','4'], 
+                   'b': [16,7,6,16],
+                   'c':[61,57,16,36],
+                   'd':['12','22','13','44'],
+                   'e':['Green','Red','Blue','Yellow'],
+                   'f':[1,11,23,66]})
+    list_features=df.columns.to_list()
+    feature=list_features[0]
+    return df,feature
+
+
+
+def test_list_categorical_columns(test_data):
+    df,feature=test_data()
+    r=list_categorical_columns(df)
+    
+    
+    assert r== ['e']
+
+

test/test_uniq_value.py

@@ -0,0 +1,36 @@
+
+
+from toolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
+from toolkit.data_analysis import *
+from toolkit.machine_learning import *
+from toolkit.plot import *
+
+import pandas as pd
+import numpy as pd
+import pytest
+
+
+@pytest.fixture
+
+
+def test_data():
+
+    df = pd.DataFrame({'a':['1','2','3','4'], 
+                   'b': [16,7,6,16],
+                   'c':[61,57,16,36],
+                   'd':['12','22','13','44'],
+                   'e':['Green','Red','Blue','Yellow'],
+                   'f':[1,11,23,66]})
+    list_features=df.columns.to_list()
+    feature=list_features[0]
+    return df,feature
+
+def test_uniq_value(test_data):
+    df,feature=test_data()
+    df_list=df['b'].tolist()
+    r=uniq_value(df_list)
+
+    assert len(r)== '3'
+
+
+