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Counting the number of occurrences of a specific value in a column is a common task in data analysis. Fortunately, the pandas library in Python provides a quick and easy way to do this with the value_counts() method. This method returns a Pandas series that contains the count of each unique value in the column. You can then access the count for a specific value by using square brackets and the value you want to count. In this article, we will walk through the steps of counting the occurrences of a specific value in a pandas column. We will cover ... Read More
PyTorch is a popular open−source machine learning framework that provides efficient tensor operations on both CPUs and GPUs. A tensor is a multi−dimensional array in PyTorch, and it is the fundamental data structure used for storing and manipulating data in PyTorch. In this context, a 3D tensor is a tensor with three dimensions, and it can be represented as a cube−like structure with rows, columns, and depth. To access elements in a 3D PyTorch tensor, you need to know its dimensions and the indices of the elements you want to access. The indices of a tensor are specified using square ... Read More
Unstructured data is data that does not follow any specific data model or format, and it can come in different forms such as text, images, audio, and video. Converting unstructured data to structured data is an important task in data analysis, as structured data is easier to analyse and extract insights from. Python provides various libraries and tools for converting unstructured data to structured data, making it more manageable and easier to analyse. In this article, we will explore how to convert unstructured biometric data into a structured format using Python, allowing for more meaningful analysis and interpretation of the ... Read More
Pandas is a popular data manipulation library in Python, used for cleaning and transforming data. It provides various functionalities for converting data types, such as the astype() method. However, manually converting data types can be time−consuming and prone to errors. To address this, Pandas introduced a new feature in version 1.0 called convert_dtypes(), which allows automatic conversion of columns to their best−suited data types based on the data in the column. This feature eliminates the need for manual type conversion and ensures that the data is appropriately formatted. Converting the Datatype of a Pandas Series Consider the code shown below ... Read More
Scikit−learn (sklearn) is one of the most popular machine learning libraries for Python. It provides a range of efficient tools for machine learning and statistical modelling, including a variety of datasets. These datasets are provided in the form of numpy arrays, which can be difficult to work with for certain tasks, such as exploratory data analysis. Pandas is a popular data manipulation library that provides powerful tools for data analysis and manipulation. It provides data structures for efficiently storing and manipulating large datasets, and provides a wide range of tools for data cleaning, transformation, and analysis. Below are the two ... Read More
Web scraping is the process of extracting data from websites. It involves parsing HTML or XML code and extracting relevant information from it. Scrapy is a popular Python−based web scraping framework that allows you to easily build web scrapers to extract structured data from websites. Scrapy provides a robust and efficient framework for building web crawlers that can extract data from websites and store it in various formats. One of the key features of Scrapy is its ability to parse and store data using custom Item classes. These Item classes define the structure of the data that will be extracted ... Read More
Extensible Markup Language (XML) is a popular data exchange format used in many applications. It provides a standardised way of representing data that can be easily understood by both humans and machines. In many cases, it is necessary to convert data stored in Python lists to XML format for various purposes, such as data exchange or storage. In this article, we will explore different approaches for converting Python lists to XML format using Python's built−in libraries. Below are the two different approaches that we can use to convert Python lists to XML in points. Using ElementTree library Import ... Read More
In order to make sure that the data is accurate, trustworthy, and appropriate for the intended analysis, cleaning the data is a crucial step in any data analysis or data science endeavour. The data cleaning functions in Pyspark, like dropna, make it a potent tool for working with big datasets. The dropna function in Pyspark allows you to remove rows from a DataFrame that contain missing or null values. Missing or null values can occur in a DataFrame for various reasons, such as incomplete data, data entry errors, or inconsistent data formats. Removing these rows can help ensure the quality ... Read More
We know that Python is a programming language used for accomplishing various tasks in fields such as Data Analysis, AI, Machine Learning and so on. And obviously, there are different modules with special functions which help us to do the job. Similarly, Python code is made to interact with a PostgreSQL database using a module known as the “Psycopg2 module”. It is a popular PostgreSQL database adapter for Python. This module provides us with a set of functions and classes that help us with database connectivity, result handling as well as query execution. Key Features of ... Read More
As we know, Python is a language widely used for Data Science and Data Analytics. Alongside libraries such as NumPy and Pandas, Plotly is another such library to represent given data in charts and graphs of all sorts. Let’s learn more about this library! Why a whole library exists in Python just for the sake of Data Representation? Many might think of representing some data in a graph is simple, but that isn’t simple at all! For small amounts of data, it is a somewhat easy task to plot graphs manually. But when dealing with large amounts ... Read More