matplotlib make scatter plot from tables

#Matplotlib make scatter plot from tables how to#
#Matplotlib make scatter plot from tables code#

# Add column headers # plot them at height y=9.75 to decrease the space to the # first data row (you'll see why later)Īx.

#Matplotlib make scatter plot from tables code#

I did promise that the code will be very simple, less than 10 lines really, here it is: Next, we will start plotting the table (as a structured scatterplot).

Note, the only elements added outside of Matplotlib are the fancy arrows and their descriptions. We will aim to create a table like this, which I have posted on Twitter here. With that in mind, we can move on to tables! So rather than plotting rectangles or circles we want to plot text and gridlines in a highly organized manner. This logic / thought process can unlock a ton of custom charts as the only thing you need are the coordinates (which can be mathematically computed).

The point is, it is useful to think of any chart as a scatterplot or simply as a collection of shapes based on xy coordinates.

Very often (again regardless of tool) we may not always see this process happening. Let me explain why: for me, scatterplots are the most fundamental chart type (regardless of tool).įor example ax.plot() automatically “connects the dots” to form a line chart or ax.bar() automatically “draws rectangles” across a set of coordinates. With that, I would like you to think of tables as highly structured and organized scatterplots. I was very much inspired by his approach and wanted to be able to achieve something similar in Matplotlib.īefore I begin with the tutorial, I wanted to go through the logic behind my approach as I think it's valuable and transferable to other visualizations (and tools!). His approach to tables is nothing short of fantastic due to the simplicity in design and how he manages to effectively communicate data to his audience. I want to give a lot of credit to Todd Whitehead who has created these types of tables for various Basketball teams and players. You’ll hopefully see that the code is very straightforward! In fact, the main methods we will be using are ax.text() and ax.plot().

#Matplotlib make scatter plot from tables how to#

Name = 'y' format = '1E' unit = 'pixel' coord_type = 'DEC-TAN' coord_unit = 'deg' coord_ref_point = 4096.5 coord_ref_value = -29.012248288366 coord_inc = 0.This tutorial will teach you how to create custom tables in Matplotlib, which are extremely flexible in terms of the design and layout. Name = 'tdety' format = '1I' unit = 'pixel' Name = 'tdetx' format = '1I' unit = 'pixel' Name = 'chipy' format = '1I' unit = 'pixel' coord_type = 'CPCY' coord_unit = 'mm' coord_ref_point = 0.5 coord_ref_value = 0.0 coord_inc = 0.023987 Name = 'chipx' format = '1I' unit = 'pixel' coord_type = 'CPCX' coord_unit = 'mm' coord_ref_point = 0.5 coord_ref_value = 0.0 coord_inc = 0.023987