Download our e-book of Introduction To Python
Related Blog
Discuss Microsoft Cognitive ToolkitMatplotlib - Subplot2grid() FunctionMicrosoft Cognitive Toolkit (CNTK) - CPU and GPUMatplotlib - PyLab moduleMatplotlib - Twin AxesMatplotlib - MultiplotsMatplotlib - Working with ImagesMatplotlib - Working With TextPython Forensics - Memory and ForensicsMatplotlib - Setting Ticks and Tick Labels View More
Top Discussion
How can I write Python code to change a date string from "mm/dd/yy hh: mm" format to "YYYY-MM-DD HH: mm" format? Exception Type: JSONDecodeError at /update/ Exception Value: Expecting value: line 1 column 1 (char 0) Someone guide please. How to store the name of IV in a list which show non linear behavior ?.......How to understand data is linear or non linear ? 'collections.OrderedDict' object has no attribute 'status_code' What is the difference between a module and a package in Python? How can i use pyspark to parallelize a file's payload How to leave/exit/deactivate a Python virtualenvironment Join Discussion
Top Courses
Webinars
Generative AI Journey in Data Science
Dec 6th (8:00 PM) 2018 Registered
Matplotlib - Working with Images
Palak Punjabi
5 months ago
The image module in Matplotlib package provides functionalities required for loading, rescaling and displaying image.
Loading image data is supported by the Pillow library. Natively, Matplotlib only supports PNG images. The commands shown below fall back on Pillow if the native read fails.
The image used in this example is a PNG file, but keep that Pillow requirement in mind for your own data. The imread() function is used to read image data in an ndarray object of float32 dtype.
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
img = mpimg.imread('mtplogo.png')
Assuming that following image named as mtplogo.png is present in the current working directory.
Any array containing image data can be saved to a disk file by executing the imsave() function. Here a vertically flipped version of the original png file is saved by giving origin parameter as lower.
plt.imsave("logo.png", img, cmap = 'gray', origin = 'lower')
The new image appears as below if opened in any image viewer.
To draw the image on Matplotlib viewer, execute the imshow() function.
imgplot = plt.imshow(img)