fix normalized and deprecate numpy asscalar

- fix normalized as per 3adf692
- Deprecated use of numpy asscalar as per linkedin#64 and
  EchoDel@7269a35

src/luminol/modules/time_series.py

@@ -282,13 +282,17 @@ def add_offset(self, offset):
 
     def normalize(self):
         """
-        Return a new time series with all values normalized to 0 to 1.
+        Return a new time series with all values normalized between 0 and 1.
 
         :return: `None`
         """
         maximum = self.max()
         if maximum:
-            self.values = [value / maximum for value in self.values]
+            # @modified 20180108 - fix normalized
+            # self.values = [value / maximum for value in self.values]
+            minimum = self.min()
+            if minimum:
+                self.values = [((value - minimum) / (maximum - minimum)) for value in self.values]
 
     def crop(self, start_timestamp, end_timestamp):
         """
@@ -316,7 +320,11 @@ def average(self, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the average value or `None`.
         """
-        return numpy.asscalar(numpy.average(self.values)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.average(self.values)) if self.values else default
+        return numpy.average(self.values).item() if self.values else default
 
     def median(self, default=None):
         """
@@ -325,7 +333,11 @@ def median(self, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the median value or `None`.
         """
-        return numpy.asscalar(numpy.median(self.values)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.median(self.values)) if self.values else default
+        return numpy.median(self.values).item() if self.values else default
 
     def max(self, default=None):
         """
@@ -334,7 +346,11 @@ def max(self, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the maximum value or `None`.
         """
-        return numpy.asscalar(numpy.max(self.values)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.max(self.values)) if self.values else default
+        return numpy.max(self.values).item() if self.values else default
 
     def min(self, default=None):
         """
@@ -343,7 +359,11 @@ def min(self, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the maximum value or `None`.
         """
-        return numpy.asscalar(numpy.min(self.values)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.min(self.values)) if self.values else default
+        return numpy.min(self.values).item() if self.values else default
 
     def percentile(self, n, default=None):
         """
@@ -353,7 +373,11 @@ def percentile(self, n, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the Nth percentile value or `None`.
         """
-        return numpy.asscalar(numpy.percentile(self.values, n)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.percentile(self.values, n)) if self.values else default
+        return numpy.percentile(self.values, n).item() if self.values else default
 
     def stdev(self, default=None):
         """
@@ -362,7 +386,11 @@ def stdev(self, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the standard deviation value or `None`.
         """
-        return numpy.asscalar(numpy.std(self.values)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.std(self.values)) if self.values else default
+        return numpy.std(self.values).item() if self.values else default
 
     def sum(self, default=None):
         """
@@ -371,4 +399,20 @@ def sum(self, default=None):
         :param default: Value to return as a default should the calculation not be possible.
         :return: Float representing the sum or `None`.
         """
-        return numpy.asscalar(numpy.sum(self.values)) if self.values else default
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # As per https://github.com/linkedin/luminol/pull/64
+        # https://github.com/EchoDel/luminol/commit/7269a35e12d2dc1c7a7db9e8d5a71558cb6c9935
+        # return numpy.asscalar(numpy.sum(self.values)) if self.values else default
+        return numpy.sum(self.values).item() if self.values else default
+
+    # @added 20180110 - use mean as per Paul Bourke method
+    def mean(self, default=None):
+        """
+        Calculate the mean value over the time series.
+
+        :param default: Value to return as a default should the calculation not be possible.
+        :return: Float representing the mean value or `None`.
+        """
+        # @modified 20230120 - Task #4820: Deprecation of numpy asscalar function in luminol
+        # return numpy.asscalar(numpy.mean(self.values)) if self.values else default
+        return numpy.mean(self.values).item() if self.values else default