SERIES SMALL CODING

SERIES SMALL CODING

import numpy as np

import pandas as pd

obj1=pd.Series(data=[10, 20, 30,40, 50, np.nan])

#obj2=pd.Series(data=[55.6, 20.0, 30.0, 40.5], index=['a', 'b', 'c', 'a'])

#print(obj1+obj2)

#obj1=pd.Series(data=[10, 20, 30, np.nan])

#print(obj2[  : :-2])

#obj2['a']=50.4

#print(obj2)

#obj1[0:4]=15

#print(obj1)

obj1[0:4:-1]=15

print(obj1)

#obj1[0:4:2]=15

#print(obj1)

#Dataframe using Series

import pandas as pd

Lst_Weight=pd.Series(data=[42, 75, 56, 45, 55])

Lst_Age=pd.Series(data=[15, 17, 16, 15, 18])

Lst_Name=pd.Series(data=['Arnav', 'Kailash', 'Mohan', 'Manavi', 'Kavya'])

dict1={'Weight':Lst_Weight, 'Age':Lst_Age, 'Name':Lst_Name}

dtf1=pd.DataFrame(dict1, index=['Stud1', 'Stud2', 'Stud3', 'Stud4', 'Stud5'])

print(dtf1)

import pandas as pd

usid=[4285, 4286, 4287, 3434, 2456, 4567, 8976]

pasd=[7281, 7282, 7283, 6743, 8976, 8756, 4598]

nam=["ANURAG KUMAR","SAURAV KUMAR"," RAUSHAN KUMAR", "KRISHNA ", "ASHWANI", "AYUSH", "ANAND"]

df1={"USER_ID":usid, "PASWORD":pasd, "NAME":nam}

dtf1=pd.DataFrame(df1)

dtf1.to_csv("")

print(dtf1)