Jeril Kuriakose jerilkuriakose

Quick Wins implementation from analysis

Session ID: ses_3e21fade1ffecORaoKJwTugpH9 Created: 2/2/2026, 10:22:46 AM Updated: 2/2/2026, 11:41:15 AM

	from pandas import DataFrame
	# import the required library to open HDF file
	from pandas import HDFStore

	# File that stores the dataframe
	filename = 'data.h5'
	# Creating a dataframe
	df = DataFrame(np.random.randn(5,3), columns=['A', 'B', 'C',])

	class OpenHDFS():

 # import the required library to open HDF file
 from pandas import HDFStore
 class OpenHDFS():
     """
     Context Manager class to open / create a HDFS / h5 file
     """
     def __init__(self, filename):
         """

	import scipy
	import matplotlib.pyplot as plt
	import scipy.cluster.hierarchy as sch
	# %matplotlib inline
	# uncomment the above line if using Jupyter notebook

	# creating dummy variable for plotting
	# 'D' is a 2-d array that has our data
	# for demonstartion purpose we are creating random variables
	x = scipy.rand(40)

	# Used to clean and analyse the data-set
	import pandas as pd
	# To open an excel file
	df = pd.ExcelFile('myexcel.xls').parse('Sheet1')

	#!/bin/bash
	dbus-send --system --print-reply --dest=org.freedesktop.login1 /org/freedesktop/login1 "org.freedesktop.login1.Manager.Suspend" boolean:true

	# Using our context manager
	with OpenHDFS(filename) as store:
	store.put('d1', df)