What is interpolation in matplotlib

1. What does interpolation do in Matplotlib?
2. What is interpolation in Python?
3. Why is interpolation used in image processing?

What does interpolation do in Matplotlib?

Interpolation is mostly used to impute missing values in the dataframe or series while preprocessing data. Interpolation is also used in Image Processing when expanding an image you can estimate the pixel value with help of neighboring pixels.

What is interpolation in Python?

Interpolation is a method for generating points between given points. For example: for points 1 and 2, we may interpolate and find points 1.33 and 1.66. Interpolation has many usage, in Machine Learning we often deal with missing data in a dataset, interpolation is often used to substitute those values.

Why is interpolation used in image processing?

Image interpolation occurs when you resize or distort your image from one pixel grid to another. Image resizing is necessary when you need to increase or decrease the total number of pixels, whereas remapping can occur when you are correcting for lens distortion or rotating an image.