Python for Business Analytics

Pandas stands for

• Panel Data

• Panel Statistics

• Data Panels

• Panel Analysis

Answer explanation

Pandas is derived from 'Panel Data', which refers to multidimensional data structures. The other options do not accurately represent the term, making 'Panel Data' the correct choice.

What are the correct parameters (required + optional) to create pandas series?

•      pandas.Series(data, index, dtype)

• pandas_Series(data, index, dtype, name)

• pandas_Series(data, index, dtype, copy)

•     pandas.Series(data, index, dtype, copy, name)

Answer explanation

The correct parameters to create a pandas Series are data, index, dtype, copy, and name. The choice 'pandas.Series(data, index, dtype, copy, name)' includes all required and optional parameters.

What are the correct parameters (required + optional) to create pandas dataframe?

• pandas.DataFrame( data, index, dtype, copy)

• pandas.DataFrame( data, index, rows, dtype, copy)

•   pandas_DataFrame( data, index, columns, dtype, copy)

•    pandas.DataFrame( data, index, columns, dtype, copy)

Answer explanation

The correct parameters to create a pandas DataFrame are 'data', 'index', 'columns', 'dtype', and 'copy'. The option 'pandas_DataFrame' is incorrect, and 'rows' is not a valid parameter.

In pandas, index values must be?

• unique

• hashable

• Both (a) and (b)

• None of the above

Answer explanation

In pandas, index values must be both unique and hashable. Unique ensures no duplicate entries, while hashable allows for efficient data retrieval. Therefore, the correct answer is 'Both (a) and (b)'.

Which of the following is correct features of pandas DataFrame?

• Labeled axes (rows and columns)

• Potentially columns are of different types

• Can Perform Arithmetic operations on rows and columns

• All of the above

Answer explanation

All the listed features are correct for a pandas DataFrame: it has labeled axes, can contain different data types in columns, and supports arithmetic operations on rows and columns.

Which of the following library in Python is used for plotting graphs and visualization?

• Pandas

• NumPy

• Matplotlib

• SciPy

Answer explanation

Matplotlib is the primary library in Python for creating static, animated, and interactive visualizations. While Pandas and NumPy are used for data manipulation and numerical operations, Matplotlib specifically focuses on plotting.

What will be output for the following code?

import pandas as pd

s = pd.Series([1,2,3,4,5],index = [‘a’,’b’,’c’,’d’,’e’])

print(s[‘a’])

• 2

• 5

• 1

• 3

Answer explanation

The code creates a pandas Series with custom indices. Accessing s['a'] retrieves the first element, which is 1. Therefore, the output is 1.

What will be output for the following code?

import pandas as pd

import numpy as np

s = pd.Series(np.random.randn(2))

print(s.size)

• 1

• 3

• 5

• 2

Answer explanation

The code creates a Pandas Series 's' with 2 random numbers. The 'size' attribute of a Series returns the number of elements it contains. Since 's' has 2 elements, the output will be 2, making the correct answer 2.

Which of the following thing can be data in Pandas?

• an ndarray

• a python dict

• a scalar value

• All of the above

Answer explanation

In Pandas, data can be represented in various forms, including an ndarray, a Python dictionary, or even a scalar value. Therefore, the correct answer is 'All of the above'.

The way to install the pandas library

• install pandas

• pandas install python

• python install pandas

• None of the above

Answer explanation

The correct way to install the pandas library is using the command 'pip install pandas'. None of the provided options accurately represent this command, making 'None of the above' the correct choice.