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Updated 4 years ago
import pandas as pd
import numpy as np
import jovian
data = pd.read_csv('C:\\Users\\vsneh\\Udemy-notebooks\\Lava-project\\data.csv',sep="|")
# from numpy import genfromtxt
# data = genfromtxt('C:\\Users\\vsneh\\Udemy-notebooks\\Lava-project\\data.txt', delimiter=' ')
for col in data.columns:
print(col)
Name
md5
Machine
SizeOfOptionalHeader
Characteristics
MajorLinkerVersion
MinorLinkerVersion
SizeOfCode
SizeOfInitializedData
SizeOfUninitializedData
AddressOfEntryPoint
BaseOfCode
BaseOfData
ImageBase
SectionAlignment
FileAlignment
MajorOperatingSystemVersion
MinorOperatingSystemVersion
MajorImageVersion
MinorImageVersion
MajorSubsystemVersion
MinorSubsystemVersion
SizeOfImage
SizeOfHeaders
CheckSum
Subsystem
DllCharacteristics
SizeOfStackReserve
SizeOfStackCommit
SizeOfHeapReserve
SizeOfHeapCommit
LoaderFlags
NumberOfRvaAndSizes
SectionsNb
SectionsMeanEntropy
SectionsMinEntropy
SectionsMaxEntropy
SectionsMeanRawsize
SectionsMinRawsize
SectionMaxRawsize
SectionsMeanVirtualsize
SectionsMinVirtualsize
SectionMaxVirtualsize
ImportsNbDLL
ImportsNb
ImportsNbOrdinal
ExportNb
ResourcesNb
ResourcesMeanEntropy
ResourcesMinEntropy
ResourcesMaxEntropy
ResourcesMeanSize
ResourcesMinSize
ResourcesMaxSize
LoadConfigurationSize
VersionInformationSize
legitimate
data
data.shape
(10539, 57)
data.size
600723