python pandas 1 and 2

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 can be created from

• Array

• Dictionary

• Scatter value

• All of them

Full form of NaN is

• Not a Null

• Not a Number

• Not a Numeric

• None of these

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

write the output:

import pandas as pd

s=pd.Series([1,2,3,4],index=['a','b','c','d'])

print(s.iloc[2:4])

• b 2

  c 3

  d 4

  dtype: int64

• b 3

  c 4

  dtype: int64

• c 3

  d 4

  dtype: int64

• none of the above

write the output:

import pandas as pd

s=pd.Series([1,2,3,4],index=['a','b','c','d'])

print(s.loc['b':'d'])

• b 2

  c 3

  d 4

  dtype: float64

• b 2

  c 3

  d 4

  dtype: object

• c 3

  d 4

  dtype: int64

• b 2

  c 3

  d 4

  dtype: int64

Give the output of the following code:

>>>import pandas as pd

>>>dict1 = {'AR' : 100, 'VR' : 200, 'AI' : 300}

>>>ser = pd.Series(dict1)

>>>print(ser[1])

• AR

• 100

• VR

• 200

• print(ser[2,4])

• print(ser[[2:4]])

• print(ser[[2,4]])

• print(ser[2,3,4])