Add SleepReportModule.py

analysis/SleepReportModule.py

@@ -0,0 +1,48 @@
+import pandas as pd
+from pandas import DataFrame
+import numpy as np
+
+
+class SleepReportAnalysis(object):
+    """A Class to Produce a morning Sleep Report"""
+
+    def __init__(self, data=None, dataframe=None, frame1=None, frame2=None):
+        self.data = data
+        self.dataframe = dataframe
+        self.frame1 = frame1
+        self.frame2 = frame2
+
+    def ProduceDataFrame(self, data):
+        """Function to produce dataframe"""
+        df = pd.read_csv(self.data, header=None, names=['Timestamp',
+                                                        'Magnitude'])
+        df = df.dropna()
+        df['Timestamp'] = df['Timestamp'].astype(np.datetime64)
+        return df
+
+    def DataOverview(self, dataframe):
+        """Function to provide top level overview of data"""
+        return dataframe.describe()
+
+    def HighestPeaks(self, dataframe):
+        """Fucntion to ID highest peaks in data"""
+        dfsorted1= dataframe.sort_values('Magnitude', axis=0,
+                                         ascending=False).head(n=150)
+        dfsorted2= dfsorted1.sort_values('Timestamp', axis=0, ascending=True)
+        return dfsorted2
+
+    def CalcDiff(self, dataframe):
+        """Function to calculate the time span between readings"""
+        difference = dataframe.diff(periods=1, axis=0)
+        difference2 = difference[difference.Timestamp >= '00:10:00']
+        #update the timestamp to desired length of time span
+        return difference2
+
+    def ProduceSleepReport(self, frame1, frame2):
+        """Function to produce the Sleep Report,
+        Frame1 should be CalcDiff Output"""
+        frames = [frame1, frame2]
+        result = pd.concat(frames, axis=1).dropna().drop('Magnitude', axis=1)
+        cols=['Length Between Peak', 'Timestamp of Peak']
+        result.columns = cols
+        return result

analysis/html_output_mod.py

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+import pandas as pd
+from pandas import DataFrame
+import bokeh.charts
+import numpy as np
+
+class Produce_html_files(object):
+    """Class that prduces html format report files"""
+
+    def __init__(self, dataframe=None, x=None, y=None,
+                title=None, xlabel=None, ylabel=None,
+                directory=None, filename=None):
+        self.dataframe = dataframe
+        self.x = x
+        self.y = y
+        self.title =title
+        self.xlabel = xlabel
+        self.ylabel = ylabel
+        self.directory = directory
+        self.filename = filename
+
+    def plotscatter(self, dataframe, x, y, title, xlabel,
+                    ylabel, directory, filename):
+        """Function to plot and export Scatter Chart to html"""
+        filename = directory+filename
+        plot = bokeh.charts.Scatter(dataframe, x=x, y=y,
+                                    title = title, xlabel=xlabel,
+                                    ylabel=ylabel)
+        bokeh.charts.output_file(filename)
+
+    def plotline(self, dataframe, x, y, title, xlabel,
+                 ylabel, directory, filename):
+        """Function to plot and export Line Chart to html"""
+        filename = directory+filename
+        plot = bokeh.charts.Line(dataframe, x=x, y=y,
+                                 title = title, xlabel=xlabel,
+                                 ylabel=ylabel)
+        bokeh.charts.output_file(filename)
+
+    def WritetoHTML(self, dataframe, directory, filename):
+        """Writes reports to html"""
+        filename = directory+filename
+        html_str= dataframe.to_html()
+        html_file = open(filename, 'w')
+        html_file.write(html_str)
+        html_file.close()