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A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.

To work with PNG images using Matplotlib in Python, you can use the `imshow()` function of Matplotlib's pyplot module. In this example, the `mpimg. imread()` function is used to load the PNG image into a NumPy array. Matplotlib's `imshow()` function is then used to display the image.

Yes, plot connects points in the order in which they appear in the input sequence; scatter does not connect, and has additional capabilities for varying the symbol, size, and color.

How to plot an array in Python using Matplotlib? Set the figure size and adjust the padding between and around the subplots. Create two arrays, x and y, using numpy. Set the title of the curve using title() method. Plot x and y data points, with red color. To display the figure, use show() method.

Approach: Create a numpy array. Reshape the above array to suitable dimensions. Create an image object from the above array using PIL library. Save the image object in a suitable file format.

We'll need numpy for array operations, os for directory operations, and PIL (Python Imaging Library) for opening images. import numpy as np from PIL import Image import os. image_directory = '/path/to/your/images' image_list = [Image. open(os. ... image_array_list = [np. array(img) for img in image_list] final_array = np.

Basically, the plt is a common alias of matplotlib. pyplot used by most people. When we plot something using plt such as plt. line(...) , we implicitly created a Figure instance and an Axes inside the Figure object.