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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