Matplotlib Axes The region of the image that contains the data space is mainly known as Axes. Let us show you different parts of the figure that contains the graph: You can change different aspects of the Axes according to your requirements and the further sections of this tutorial we will learnContinue Reading
What are Grids? In any chart or graphical representation of any set of data, grids are made so that you can better understand the whole graph/chart and relate the points on the plot with the scale values, as there are grid lines in the background. Grid makes the inner partContinue Reading
This function is used to provide additional flexibility in creating axes object at a particular specified location inside a grid. Matplotlib subplot2grid() Function The subplot2grid() function or the matplotlib.pyplot.subplot2grid function can be used easily to create multiple charts within same figure, here is the syntax for it: Matplotlib subplot2grid() Parameters: Let us discuss the parameters used by this function: Example: Let usContinue Reading
The subplots() function in the Matplotlib acts as a utility wrapper. This function helps in creating common layouts of subplots and it also includes the enclosing figure object, in a single call. Matplotlib subplots() Function The basic syntax to use this function is as follows: Matplotlib subplots() Function Parameters Let us discuss the parameters used by this function: Matplotlib subplots() Function Returned Values The valuesContinue Reading
You must be thinking, why would we want to have multiple plots in a single graph. That will only lead to confusion and clutter. But if you need to either do comparison between the two curves or if you want to show some gradual changes in the plots(relative to each other), etc. inContinue Reading
The image’s region with the data space is commonly known as Axes object. The flexible and basic unit for creating sub-plots is Axes. axes() Function This function is mainly used to create an axes object with argument. Given below is a basic syntax of this function: Let us take a look at the simplest example where we will use theContinue Reading
As we all know that matplotlib is a python library used to create visualization which is also a numerical extension of Numpy library. figure() Function To create a new figure the figure() function of the pyplot module is used in the matplotlib library. Syntax: The syntax to use this function is given below: Copy Parameters: Let us discussContinue Reading
Matplotlib Interfaces There are two types of interfaces in Matplotlib for visualization and these are given below: 1. MATLAB like interface Using Pyplot Interface You can easily generate plots using pyplot module in the matplotlib library just by importing matplotlib.pyplot module. There are some disadvantages too with this interface that’s why Object Oriented interfaceContinue Reading
This module mainly helps in bringing functions and classes from pyplot and NumPy into the global namespace which then becomes easier for the Matlab users. NOTE: Pylab conflicts with all sorts of built-in functions in Python, so it is abandoned and is not used much. Syntax to import the Pylab module The basic syntax to import the pylab module is given below: CopyContinue Reading
The visualization of the single line function that is y=f(x) is simplest among all. Let us take a look at creating simple plots of this type. In this tutorial, we will cover the following simple line plots: Now the first and foremost step is to set up the notebook for plotting and importing those functions that we willContinue Reading
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