DATA HANDLING USING PANDAS-SERIES

Which is true for series.

• Size is mutable,Values is mutable

• size is immutable,values is mutable

• size is mutable,values is immutable.

• none

Series.tail(3) will return how many values.

• 3 values from front

• 3 values from last

• 5 values

• none

Series in Pandas is

• 1 Dimensional Array

• 2 Dimensional array

• 3 Dimensional array

• none of above

Which is not a feature of series

• Homogeneous data

• Immutable size

• Mutable data

• Multiple rows

Series can be created from

• Array

• Dictionary

• Scatter value

• All of them

Which package should be needed for series

• Maths

• Statistic

• Pandas

• Random

Full form of NaN is

• Not a Null

• Not a Number

• Not a Numeric

• None of these

pandas is a:

• Data Structure

• Series

• Dataframe

• Library

Write the output for the following:

import pandas as pd1

s = pd1.Series(5, index=[0, 1, 2, 3])

print(s)

• 0 5

• 0 5

  1 5

  2 5

  3 5

  dtype: int64

• 1 5

  2 5

  2 5

  4 5

  dtype: int64

• 0 5

  1 5

  2 5

  3 5

  dtype: object

write the output:

import pandas as pd1

s = pd1.Series([1,2,3])

t = pd1.Series([1,2,4])

u=s-t

print (u)

• 0 1

  1 0

  2 1

  dtype: int64

• 0 0

  1 0

  2 1

  dtype: int64

• 0 0

  1 0

  2 -1

  dtype: float64

• 0 0

  1 0

  2 -1

  dtype: int64