Matplotlib vs. Photographer's companion vs. Python vs. ggplot2 Comparison Chart

This application will help you to abandon the automatic mode of your cameras that does not do everything and control everything. For more experienced photographers, it can simplify the settings by doing the calculations for you. In any case, it is not a magic application to make beautiful pictures every time, but it will allow you to find a basic setting to refine to get the best picture you think. It is aimed at professional or amateur photographers (basic knowledge is required) and offers the tools to calculate the alternative/equivalent exposure (manages the ND filter and long exposures). Calculate the depth of field, hyperfocal, and simulation of Bokeh. Calculate the field of view. Calculate the shutter speed to freeze the motion of a subject. Capture/Photograph sunrise/sunset, the golden hour, and the blue hour. Get the position of the sun, time of sunrise/sunset, golden hours, blue hours, and monthly calendar.

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.