Displaying images - ( Jupyter Data Visualization )
Heading h2
Syntax
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread(path)
plt.imshow(img)
plt.show()
Example
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread("path/to/image.jpg")
plt.imshow(img)
plt.show()
Output
Displays the image in the Jupyter notebook.
Explanation
Jupyter notebooks provide an interactive environment for data science and machine learning projects. One of the most common tasks in these projects is to display and visualize images.
Matplotlib is a popular library for data visualization that can be used to read and display images in Jupyter notebooks. The matplotlib.pyplot
module provides a function imshow()
that can be used to display an image. The matplotlib.image
module is used to read the image from a file and convert it into a format that imshow()
can use.
In the above example, we use mpimg.imread()
function from matplotlib.image
to read the image from a file with the specified path. We store the image in the img
variable and then pass this variable to the imshow()
function to display the image.
Use
Displaying and visualizing images is an essential task in data science and machine learning. Jupyter notebooks provide an interactive environment for this task, and Matplotlib provides a useful library for displaying and manipulating images in Python.
Important Points
- Jupyter notebooks provide an interactive environment for data science and machine learning
- Matplotlib is a popular library for data visualization
- The
matplotlib.pyplot
module provides a functionimshow()
that can be used to display an image in Jupyter notebooks - The
matplotlib.image
module is used to read and convert the image to a format thatimshow()
can use
Summary
In conclusion, displaying and visualizing images in Jupyter notebooks is an essential task in data science and machine learning. Matplotlib provides a powerful library for working with images in Python, and the imshow()
function in matplotlib.pyplot
can be used to display an image in a Jupyter notebook. The matplotlib.image
module is used to read and convert the image into a format that can be used by imshow()
.