Pandas Exercises and Solutions

To build web applications and APIs

To perform scientific computing and data visualization

To provide a fast and flexible way to work with structured (tabular) data (correct)

To handle parallel computing and distributed systems

import pandas as pd (correct)

from pandas import DataFrame

from pandas import *

import pandas.DataFrame as df

There is no difference; they are interchangeable data structures

A `DataFrame` is a 2D labeled data structure, while a `Series` is a 1D labeled data structure (correct)

A `DataFrame` is used for time series data, while a `Series` is used for cross-sectional data

A `DataFrame` can only contain numerical data, while a `Series` can contain any data type

<p>pd.Series([1, 2, 3], index=['a', 'b', 'c'])</p> Signup and view all the answers

<p>To group rows of a <code>DataFrame</code> based on one or more columns</p> Signup and view all the answers

<p>pd.read_csv('data.csv')</p> Signup and view all the answers