unit1

obj = pd.Series([4, 7, -5, 3])

obj.values

• array([ 4, 7, -5, 3])

• ([ 4, 7, -5, 3])

• array(4, 7, -5, 3)

• error

obj = pd.Series([4, 7, -5, 3])

obj.index

o/p:?

• RangeIndex(start=0, stop=4, step=1)

• Range(start=0, stop=4, step=1)

• RangeIndex(start=0, stop=4)

• error

obj2 = pd.Series([4, 7, -5, 3], index=['d', 'b', 'a', 'c'])

obj2[obj2 > 0]

output:?

• b 6

  c 7

  d 3

  dtype: int64

• d 6

  b 7

  c 3

  dtype: int64

• error

• none

What Are The Different Types Of Data Structures In Pandas

• Data Frame

• series

• panel

• all of the above

obj = pd.Series(range(3), index=['a', 'b', 'c'])

index = obj.index

index

o/p:

• Index(['a', 'b', 'c'])

• error

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

• none

labels = pd.Index(np.arange(3))

labels

• Index([0, 1, 2], dtype='int64')

• Int64Index([0, 1, 2], dtype='int64')

• Int64Index([0, 1, 2])

• error

What is purpose of df.columns and df.iloc[:,:-5]

• it displays the names of columns

• it displays all columns except the last five columns

• it displays all columns except the first five rows

• it displays all columns except the last four rows

which of the following thing can be data in pandas

• python dictionary

• nd array

• scalar value

• all the above

all pandas data structure are ____ mutable

data and index in data structure must be same size

• true

• false

• none