Python Assume that you have created a DataFrame object that has 10 columns that

Question

Python

Assume that you have created a DataFrame object that has 10 columns that is called df. Which of the following commands would you issue in order to see the datatype of each column of the DataFrame df.

Select one:

a. df.dtypes

b. df.types

c. df.dtype

d. types(df)

e. dtypes(df)

All pandas data structures are _________mutable.

Select one:

a. always size-

b. value-

c. length-

d. completely im-

What command would you issue to create a Series object named spam in pandas, with the data [3, 5, 2, 7, 1] and letting pandas create a default integer index?

Assume that you have issued the following command:

import Pandas as pd

Select one:

a. spam = pd.series([3,5,2,7,1])

b. spam = pd.Series([3,5,2,7,1], index=)

c. spam = pd.Series([3,5,2,7,1])

d. spam = Series([3,5,2,7,1])

e. spam = series([3,5,2,7,1])

Which of the following commands will apply a boolean mask on to a DataFrame object called spam, and will label a component of the DataFrame object as "True" if that component is found to be "nan"?

Assume the following command has been issued:

import pandas as pd

Select one:

a. isnull(spam)

b. spam.pd.isnull

c. isnan(spam)

d. pd.isnan(spam)

e. pd.isnull(spam)

What is the name of a three-dimensional Pandas data structure?

Select one:

a. a TimeSeries

b. a Series

c. a Panel

d. a DataFrame

Explanation / Answer

The Questions given are basic and genral questions so i have given direct Answers

Assume that you have created a DataFrame object that has 10 columns that is called df. Which of the following commands would you issue in order to see the datatype of each column of the DataFrame df.

Answer) Option a is correct, i.e; df.dtypes

All pandas data structures are _________mutable.

Answer: option b is correct, i.e; Vaule-

What command would you issue to create a Series object named spam in pandas, with the data [3, 5, 2, 7, 1] and letting pandas create a default integer index?
Assume that you have issued the following command:

Answer: Option b is correct, i.e; spam = pd.Series([3,5,2,7,1], index=)

Which of the following commands will apply a boolean mask on to a DataFrame object called spam, and will label a component of the DataFrame object as "True" if that component is found to be "nan"?
Assume the following command has been issued:

Answer: Option e is correct, i.e; pd.isnull(spam)

What is the name of a three-dimensional Pandas data structure

Answer) Option c is correct, i.e Panel

Hope This Helps, if you have any doubts Please comment i will get back to you, thank you and please thumbs up

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