Pltpcolor in Python

Python:

Python programming language is one of the most used programming languages, as it is used widely in the field of software and data analysis, web development, etc. It is said to be a user-friendly programing language, as the syntax for it is very simple to write and easy to understand for a beginner programmer. Python programming language is rich in libraries that can be imported easily and used to perform many different operations. In the year 1989, Guido van Rossum is the one who introduced python programming language. It is also used in web applications; web applications like the Django and Flask frameworks are created using python. Compared to any programming language, the syntax in python is much easier.

Python programming language is most widely used language in today’s technology. Many colleges and institutions have introduced python in their syllabus so that the students need to learn python. The biggest advantage of the python programming language is that it has a good collection of libraries widely used in machine learning, web frameworks, test frameworks, multimedia, image processing, and many more applications. The latest version of the python programming language available is python 3 which is the most updated version of the python programming language.

Matplotlib

Matplotlib is a library in python used to create static, animated and interactive visualizations. The library is used to create various plots like bar graphs, pie charts, histograms and many more. The matplotlib describes and analyses the data more efficiently and faster. The matplotlib is specially used for dealing with large datasets. The matplotlib provides an interface like python but uses it and is an open source.The popular Python library used for data visualisation is called Matplotlib.

The Matplotlibaddon for numerical mathematics is called Numpy. Matplotlib can generate excellent graphs, charts, and figures. For embedding plots into projects utilising GUI toolkits like Tkinter, wxPython, or Qt, Matplotlib creates object-oriented API. Matplotlib was created by John D. Hunter in its first form, and it is made available to users under a BSD-style licence.

pyplot.pcolor():

One of the many functions in Matplotlib that aid in carrying out various tasks is the matplotlib.pyplot.pcolor() function. The Matplotlib library's pyplot module's pcolor() method assists in producing a pseudo-color plot with an irregular rectangular grid.

Syntax:

 matplotlib.pyplot.pcolor(*args, alpha=None, normi=None, smap=None, ymin=None, ymax=None, data=None, **kwargs)
Call Signature: pcolor([A, B,] E, **kwargs)

Parameters:

• E: It is used to denote scalar 2-D array
• A, B: these are the optional parameters used tomeasure the qudirlateral corners
• smap: This parameter is the strmap or the color map 
• normi: This is an optional parameter used to normalize
• ymin, ymax: this is an optional parameter , scaler function
• edgecolors: {‘none’, None, ‘face’, color sequence}, optional
• alpha: this is an optional parameter , scaler function
• snap: this is an optional parameter, bool operation

Other Parameters:

• antialiaseds: this is an optional parameter, bool operation
• **kwargs
• Returns: The function returns a collection i.e matplotlib.collections.Collection

Example:

With the help of the pcolor( ) function we will generate the images.We can create 2-D image-style plots using the pcolor() function, as shown below.

Code:

# importing the required libraries
importmatplotlib.pyplot as plt
importnumpy as np
frommatplotlib.colors import LogNorm


X = np.random.rand(3, 10)


f, (a0, a1) = plt.subplots(3, 1)


d = a0.pcolor(X)
a0.set_title('No edge images are found')


d = a1.pcolor(X, edgecolors='k', linewidths=5)
a1.set_title('Thick edge images are observed')


f.tight_layout()
plt.show()

Output:

No edge images are found

Thick edge images are observed

Conclusion

Matplotlib is a library in python used to create static, animated and interactive visualizations. The library is used to create various plots like bar graphs, pie charts, histograms and many more. The matplotlib is specially used for dealing with large datasets. The matplotlib provides an interface like python but uses it and is an open source.

The popular Python library used for data visualisation is called Matplotlib. The Matplotlibaddon for numerical mathematics is called Numpy. Matplotlib can generate excellent graphs, charts, and figures. For embedding plots into projects utilising GUI toolkits like Tkinter, wxPython, or Qt, Matplotlib creates object-oriented API. Matplotlib was created by John D. Hunter in its first form, and it is made available to users under a BSD-style licence.