The matplotlib.pyplot is basically the collection of command style functions that helps in making the Matplotlib work like MATLAB. New Notebook in Jupyter Notebook If you want to create a new notebook in Jupyter notebook where you desire to store your work then we have shown you the option in our previous tutorial. Now whenContinue Reading
Jupyter Notebook is an open-source web application with the help of which one can create and share documents containing live python code, visualizations, and code explanation. Features of Jupyter(IPython) Notebook Let us discuss the features of Jupyter Notebook after that we will discuss how to launch it and use it with Matplotlib library: Let usContinue Reading
As we know that Matplotlib is a powerful library which is used to visualize data in form of plots. You will see in our tutorial that with the help of this library one can create many types of plots like line, bar, histogram, contour, scatter, violin, and many more. It is used for creating 2D plotsContinue Reading
What is Matplotlib? Matplotlib is basically a Multiplatform visualization library for data that is built on NumPy Arrays. This Library is designed to work with the broader SciPy stack, which includes different modules of Python used for machine learning and data science. It was written by John D. Hunter in 2003 and it was born withContinue Reading
Tkinter is a standard library in python used for creating Graphical User Interface (GUI) for Desktop Applications. With the help of Tkinter developing desktop applications is not a tough task. The primary GUI toolkit we will be using is Tk, which is Python’s default GUI library. We’ll access Tk from its Python interface called Tkinter (short for Tk interface). Prerequisites for Tkinter Before learning Tkinter you should have basic knowledgeContinue Reading
The numpy.fromiter() function is used to create an ndarray by using a python iterable object. This method mainly returns a one-dimensional ndarray object. Syntax of numpy.fromiter(): Below we have the required syntax to use this function: Parameters: Let us discuss the parameters of the above function: Note: It is important to specify a count parameter in order to improveContinue Reading
This function is used to return evenly spaced numbers over a specified interval. Syntax of numpy.linspace(): The required syntax to use this function is as follows: Parameters: The parameters of the above-mentioned function are as follows: Returned Values: This function will return the array within the range specified. This function willContinue Reading
The numpy.logspace() function in Numpy is used to create an array by using the numbers that are evenly separated on a log scale. Syntax of numpy.logspace(): The syntax to use this function is as follows: Parameters: The parameters of this function are as follows: Returned Values: This function will return the array in theContinue Reading
The numpy.frombuffer() function of the Numpy library is used to create an array by using the specified buffer. This function interprets a buffer as a 1-dimensional array. Syntax of frombuffer(): Given below is the required syntax that is used for numpy.frombuffer() function: Parameters: Let us discuss the parameters of the above constructor: Let us nowContinue Reading
The numpy.asarray() function in Numpy is used to convert the input or any existing data into an array. Syntax of numpy.asarray(): Given below is the basic syntax to use this function: Parameters: Let us discuss the parameters mentioned above for the asarray() function: Returned Values: This function will return an array with all the values from the sequenceContinue Reading
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