updated example in readme

README.md

@@ -20,16 +20,23 @@ python -m pip install git+https://github.com/Der-Henning/TopK-Insights
 ## Example
 
 ````Python
-import pandas as pd
+import logging
+
 import matplotlib.pyplot as plt
+import pandas as pd
 
 from tki import TKI
-from tki.insights import OutstandingFirstInsight, OutstandingLastInsight, \
-    TrendInsight, EvennessInsight, CorrelationInsight
-from tki.extractors import RankExtractor, DeltaPrevExtractor, \
-    DeltaMeanExtractor, ProportionExtractor
 from tki.aggregators import SumAggregator
-from tki.dimensions import CardinalDimension, TemporalDimension, NominalDimension
+from tki.dimensions import (CardinalDimension, NominalDimension,
+                            TemporalDimension)
+from tki.extractors import (DeltaMeanExtractor, DeltaPrevExtractor,
+                            ProportionExtractor, RankExtractor)
+from tki.insights import (CorrelationInsight, EvennessInsight,
+                          OutstandingFirstInsight, OutstandingLastInsight,
+                          TrendInsight)
+
+logging.basicConfig()
+logging.getLogger('tki').setLevel(logging.INFO)
 
 data = [
     ['H', 2010, 40], ['T', 2010, 38], ['F', 2010, 13], ['B', 2010, 20],
@@ -38,7 +45,6 @@ data = [
     ['H', 2013, 43], ['T', 2013, 29], ['F', 2013, 23], ['B', 2013, 17],
     ['H', 2014, 58], ['T', 2014, 36], ['F', 2014, 27], ['B', 2014, 19]
 ]
-
 extractors = {
     RankExtractor,
     DeltaPrevExtractor,
@@ -70,7 +76,7 @@ tki.run()
 
 fig, axes = plt.subplots(7, 3, figsize=(25, 40), dpi=80)
 for idx, i in enumerate(tki.heap.insights):
-    plt.axes(axes[int(idx/3)][idx % 3])
+    plt.axes(axes[int(idx / 3)][idx % 3])
     i.plot()
     plt.title(
         f"{idx + 1}) {type(i.insight).__name__} "