DataFrame and Series

State the following statement as true or false

"DataFrame values are immutable"

• True

• False

Predict the o/p of the following:

import pandas as pd

s=[6,4,2]

s1=pd.Series(s*2)

print(s1+2)

• 0 14

  1 10

  2 6

  dtype: int64

• 0 8

  1 6

  2 4

  3 8

  4 6

  5 4

  dtype: int64

• 0 8

  1 6

  2 4

  dtype: int64

The following code create a dataframe named ‘D1’ with _______________ columns.

import pandas as pd

D1 = pd.DataFrame([1,2,3] )

• 1

• 2

• 3

Predict the output

import pandas as pd

s1=pd.Series(1000,index=range(100,500,100))

print(s1)

• 100 1000

  500 1000

  100 1000

  dtype: int64

• 100 1000

  200 1000

  300 1000

  400 1000

  500 1000

  dtype: int64

• 100 1000

  200 1000

  300 1000

  400 1000

  dtype: int64

• 100 1001

  200 1002

  300 1003

  400 1004

  dtype: int64

Size attribute of the data frame returns total number of rows of the data frame

• False

• True

Suppose df is a data frame created from the dictionary,Column labels of the data frame df are displayed from

• values

• keys

• keys and values

• Nine of the above

The attribute returns true if they are any NaN is

• values

• Nans

• hasnans

Find the output

import pandas as pd

s=pd.Series(range(1,15,3),index=['a','b','c','d','e'])

print(s.index)

• Index(['a', 'b', 'c', 'd', 'e'], dtype='object')

• RangeIndex(['a', 'b', 'c', 'd', 'e'], dtype='object')

• Int64Index(['a', 'b', 'c', 'd', 'e'], dtype='object')

Find the output

import pandas as pd

s=pd.Series(range(1,15,3),index=['a','b','c','d','e'])

print(s.size)

• 14

• 5

• 15

Axis 0 of data frame represents

• Rows

• Columns

• Values

• Both rows and columns