Data Analysis with Python MCQ part-4

Que.Which of the following thing can be data in Pandas?
a. a python dict
b. an ndarray
c. a scalar value
d. all of the mentioned
Que.Point out the correct statement.
a. If data is a list, if index is passed the values in data corresponding to the labels in the index will be pulled out
b. NaN is the standard missing data marker used in pandas
c. Series acts very similarly to a array
d. None of the mentioned
Que.The result of an operation between unaligned Series will have the ________ of the indexes involved.
a. intersection
b. union
c. total
d. all of the mentioned
Que.Which of the following input can be accepted by DataFrame?
a. Structured ndarray
b. Series
c. DataFrame
d. All of the mentioned
Que.Point out the wrong statement.
a. A DataFrame is like a fixed-size dict in that you can get and set values by index label
b. Series can be be passed into most NumPy methods expecting an ndarray
c. A key difference between Series and ndarray is that operations between Series automatically align the data based on label
d. None of the mentioned
Que.Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame?
a. DataFrame.from_items
b. DataFrame.from_records
c. DataFrame.from_dict
d. All of the mentioned
Que.Series is a one-dimensional labeled array capable of holding any data type.
a. True
b. False
c. May be True or False
d. Can’t say
Que.Which of the following works analogously to the form of the dict constructor?
a. DataFrame.from_items
b. DataFrame.from_records
c. DataFrame.from_dict
d. All of the mentioned
Que.Which of the following operation works with the same syntax as the analogous dict operations?
a. Getting columns
b. Setting columns
c. Deleting columns
d. All of the mentioned
Que.If data is an ndarray, index must be the same length as data.
a. True
b. False
c. May be True or False
d. Can’t say

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