View_h5_file.py

@@ -1,5 +1,7 @@
 import h5py
 import pandas as pd
+import numpy as np
+import plotly.graph_objects as go
 
 f = h5py.File('product1.h5','r')
 list(f.keys())
@@ -9,3 +11,15 @@ for key in f.keys():
     # print(f[key].value)
 df = pd.read_hdf('product1.h5', key='df8')
 print(df)
+
+# Calculate the standard deviation using pandas' function
+std_dev_unit = df.groupby('Zip Code')['Unit Price'].std()
+std_dev_displayed = df.groupby('Zip Code')['Shown Price'].std()
+
+# Generate the graph using Plotly
+fig = go.Figure()
+fig.add_trace(go.Bar(x=std_dev_unit.index, y=std_dev_unit.values))
+fig.update_layout(title='Standard Deviation of the Unit Pricing by Item', xaxis_title='Zip Code', yaxis_title='Standard Deviation')
+
+report_file = 'test.html'
+fig.write_html(report_file)