Found 33676 Articles for Programming

How to create a Triangle Correlation Heatmap in seaborn?

Manthan Ghasadiya
Updated on 11-May-2023 14:33:33

1K+ Views

In this tutorial, we will learn to create a Triangle Correlation Heatmap in seaborn; as the name sounds, Correlation is a measure that shows the extent to which variables are related. Correlation heatmaps are a type of plot that represents the relationships between numerical variables. These plots are used to understand which variables are related to each other and the strength of their relationship. Whereas a heatmap is a two-dimensional graphical representation of data using different colors. Seaborn is a Python library that is used for data visualization. It is useful in making statical graphs. It builds on top of ... Read More

How to load and save 3D Numpy Array file using savetxt() and loadtxt() functions?

Saba Hilal
Updated on 11-May-2023 11:40:23

4K+ Views

For using arrays in Python, NumPy is commonly used. Sometimes, the data is stored in a multidimensional or 3D array. If loadtxt() or savetxt() functions are used to save or load the array data, it will require a 2d array. If the 3D array is used, then it will give this error – “ValueError: Expected 1D or 2D array, got 3D array instead”. So, in this Python and Numpy article, using two different examples, code is written to show the process of saving arrays and loading arrays while using savetxt() and loadtxt() functions and working with 3D arrays. In the ... Read More

How to lowercase the column names in Pandas dataframe?

Saba Hilal
Updated on 11-May-2023 11:31:39

6K+ Views

In this article, the user will understand how to lowercase the column names in Pandas dataframe. Using three different examples, the ways are given for converting the dataframe columns in lowercase. For these examples, a Zomato dataset given on Kaggle is used. The kaggle dataset was available in CSV (Comma Separated Values) format so it was first downloaded and then it was converted into a dataframe by using pandas. In the first example, the python program uses a str.lower() function for the lowercase conversion of the column vales. In the second example, the map(str.lower) function is used for converting the ... Read More

How to load a TSV file into a Pandas Dataframe?

Saba Hilal
Updated on 11-May-2023 11:25:53

5K+ Views

Sometimes, the task is to analyze a dataset and use the data from a TSV (Tab Separated Values) file. For this, the TSV file is sometimes converted to a dataframe. A dataframe is a labeled two-dimensional structure that has different types of columns. In this article, using two different examples, this Python library called pandas is used with Python code to read a TSV file and load it into a dataframe. For these examples, a Zomato dataset given on Kaggle is used. The Kaggle dataset was available in CSV (Comma Separated Values) format so it was first downloaded and then ... Read More

How to create a seaborn correlation heatmap in Python?

Manthan Ghasadiya
Updated on 10-May-2023 17:39:23

9K+ Views

The strength and direction of the correlation between two pairs of variables in a dataset are displayed graphically in a correlation heatmap, which depicts the correlation matrix. It is an effective technique for finding patterns and connections in massive datasets. The Python data visualization toolkit Seaborn offers simple utilities for producing statistical visuals. Users can quickly see the correlation matrix of a dataset thanks to its feature for creating correlation heatmaps. We must import the dataset, compute the correlation matrix of the variables, and then use the Seaborn heatmap function to produce the heatmap to construct a correlation heatmap. The ... Read More

How to create a Scatter Plot with several colors in Matplotlib?

Manthan Ghasadiya
Updated on 10-May-2023 17:36:06

14K+ Views

A scatter plot is a data visualisation that displays the relationship between two variables. A marker or symbol is placed on the plot at the coordinates corresponding to each data point's values for the two variables, representing that data point. The graphic can aid in finding patterns, trends, and outliers in the data. Scatter plots and other types of data visualisation can be made using the well-known Python module Matplotlib. By giving a list of colours that each plot point should belong to, the user may use Matplotlib to produce a scatter plot with various hues. This way, we can ... Read More

How to create animations in python?

Manthan Ghasadiya
Updated on 10-May-2023 17:33:59

10K+ Views

Python provides several libraries for creating animations, such as Matplotlib, Pygame, and Pyglet. Matplotlib is a popular Python data visualisation library that also offers the functionality of creating animations using the ‘FuncAnimation’ function. ‘FuncAnimation’ is a class in the ‘matplotlib.animation’ module that creates animations by calling a user-defined function. In this tutorial, we will learn animations using the ‘FuncAnimation’ function, and we will illustrate three examples of this method. Syntax animation = FuncAnimation(fig, animate_func, frames=frame_values, interval=interval_value, repeat=repeat_value) In the above syntax, fig is the object that we want to animate, animate_func updates the plot for each frame, ‘frame_values’ is ... Read More

Longest Common Prefix in Linked List

Sakshi Koshta
Updated on 10-May-2023 16:25:54

452 Views

The longest common prefix problem is a well-known computer science problem that is frequently encountered when working with strings or lists. It entails determining the string or list element with the longest common prefix. When it comes to linked lists, there are several approaches that can be taken. One common approach is to traverse the linked list and compare the characters of each node in the list until a mismatch is found. The longest common prefix up to the point of mismatch is considered. Linked List A linear linked list can be defined as a collection of variable number of ... Read More

Queries To Evaluate The Given Equation In A Range [L,R]

Sakshi Koshta
Updated on 10-May-2023 16:23:51

186 Views

The evaluation of all equation in an interval [L, R] give us a range of values for those variables. Examples of how this may be used include modelling, data analysis, and problem-solving scenarios. In this situation, we define equations variable values for all point in range. Hence can be done by specifying the step size of the range and evaluating the equation for each variable value inside the range. Specifications It may be called a request for information asked to database. Data is extracted using specific commands when certain requirements are met. To acquire, filter, sort, and summarize data from ... Read More

Find Values after N Operations to Remove N Characters of String ‘S’ With Given Constraints

Sakshi Koshta
Updated on 10-May-2023 16:19:14

255 Views

What are the Specifications of Using String? To solve a specific challenge involving the given string S. The string S contains only lowercase English letters, and certain constraints must be followed while removing characters. The given constraints are − There are lowercase English letters in string S. A character can only be deleted if it appears more than once in string. Only characters that appear consecutively can be deleted. The following steps can be used to remove characters from string S − Find all characters that appear more than once as you iterate over string S. Find all of ... Read More

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