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#!/bin/bash | |
dbus-send --system --print-reply --dest=org.freedesktop.login1 /org/freedesktop/login1 "org.freedesktop.login1.Manager.Suspend" boolean:true |
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a = 25 |
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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(): |
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# Using our context manager | |
with OpenHDFS(filename) as store: | |
store.put('d1', df) |
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# 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): | |
""" |
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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) |
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# Used to clean and analyse the data-set | |
import pandas as pd | |
# To open an excel file | |
df = pd.ExcelFile('myexcel.xls').parse('Sheet1') |
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# Changing the data types of all strings in the module at once | |
from __future__ import unicode_literals | |
# Used to save the file as excel workbook | |
# Need to install this library | |
from xlwt import Workbook | |
# Used to open to corrupt excel file | |
import io | |
filename = r'SALEJAN17.xls' | |
# Opening the file using 'utf-16' encoding |
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