Fix pandas issue, fix sum for distribution representation inlc. min max vals, add possibility to define segment representation and update the default example

.github/workflows/pytest.yml

@@ -0,0 +1,36 @@
+# This workflow will install Python dependencies and run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+# Based on David Neuroth pylpg
+
+name: pytest
+
+on:
+  push:
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.10'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest
+        pip install pytest-cov
+        pip install codecov
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+        pip install --no-cache-dir -e .
+
+    - name: Test with pytest
+      working-directory: ./test/
+      run: |
+        pytest
+        codecov

README.md

@@ -1,4 +1,4 @@
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@@ -55,15 +55,15 @@ Read in the time series data set with pandas
 	raw = pd.read_csv('testdata.csv', index_col = 0)
 ```
 
-Initialize an aggregation object and define the length of a single period, the number of typical periods, the number of segments in each period, the aggregation method and the representation method - here duration/distribution representation which 
+Initialize an aggregation object and define the length of a single period, the number of typical periods, the number of segments in each period, the aggregation method and the representation method - here duration/distribution representation which contains the minimum and maximum value of the original time series 
 ```python
 	aggregation = tsam.TimeSeriesAggregation(raw, 
 						noTypicalPeriods = 8, 
 						hoursPerPeriod = 24, 
 						rescaleClusterPeriods = False,
 						segmentation = True,
-						representationMethod = "distributionRepresentation",
-						distributionPeriodWise = False,
+						representationMethod = "distributionAndMinMaxRepresentation",
+						distributionPeriodWise = False
 						clusterMethod = 'hierarchical')
 ```