1 / 7

Top 28 Python Panda Interview Question in 2022

We will discuss Python Interview Questions in this blog. The following are the most frequently asked questions in Python interviews for the year 2022. If you have a Python question, you can ask it about any Python topic.<br> If you would like more information about our Java course, please contact us at the number below.<br>For any questions, call 7070905090<br><br>Visit our tutorial to learn more<br>

Ducat5
Download Presentation

Top 28 Python Panda Interview Question in 2022

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Top 28 Python Panda Interview Question in 2022 LEARN NOW 70-70-90-50-90 www.ducatindia.com

  2. Q1- What is Python pandas? Ans- Pandas is a Python software package that is mostly used to analyze and work with data. Wes Mckinney created a cross-platform, open-source library that was made available in 2008. This library provides methods and data structures for working with time-series and numerical information. Pandas may be set up via pip or the Anaconda package. With the help of this package, doing machine learning functions on the table data is simple and rapid. a little bit of body text

  3. Q2-Describe the primary features of the Python pandas? Ans- Some of the major features of Python Pandas are:- It offers capabilities for importing data into in-memory data objects from a variety of file types and is quick and effective at processing the data using its DataFrame object. It performs well when combining and merging data. Time Series functionality is included. It offers joining and merging capabilities for data sets. It contains features for sophisticated indexing, label-based slicing, and subsetting of big data sets. It has features that let you reshape and pivot data collections.

  4. Q3-Describe different types of Data Structures available in Pandas? Ans-The many types of data structures offered by Pandas include: Series: A homogenous, one-dimensional array data structure that is unchanging in size. DataFrame: Rows and columns make up the tabular data structure known as a “DataFrame.” Data and size might change in this situation. Panel: This three-dimensional data structure uses heterogeneous data storage.

  5. Q4- What is Series in Pandas? Ans-A one-dimensional array data structure called a series may contain any kind of data. In an Excel sheet, it is the columns that contains a sequence of data of a single kind. The axial identifiers of the dataset are referred to as the index in this straightforward Pandas data structure. Q5-What is use of Reindexing in pandas? Ans-The DataFrame’s row and column labels are changed by reindexing. It adjusts to the facts so that it matches a specific set of keywords along a specific axis. Additionally, the label places where there are no data are updated to include the missing value marker.

  6. Q6- What is Data Frame in Pandas? Ans-Pandas has a data structure called DataFrame that allows for the storage of mixed, two-dimensional, size-mutable data tables with labelled rows and columns. It is arranged in relational database like a table. The rows and columns of this construct can be subjected to a mathematical operations. The data type for each column in this case will be the same. Q7- What is pylab? Matplotlib package. An object-oriented charting library is Matplotlib. It combines the NumPy module for graphical plotting with the Matplotlib library. This is a part of Matplotlib rather than being a standalone module, giving users a matplotlib-like experience. Ans-A computational approach to Matplotlib is provided by the Pylab module of the READ MORE

More Related