A suite of simple python tools
import jakelyTables of numerical values are inefficient at drawing the eye to the largest and smallest values. Use ColorTable to create tables that color the grid cells in a table relative to all other values in the table.
jakely.plot.test_colortable()
Ever wanted to encode more information in a 2D density histogram? With jakely.plot_hexbin_dots() you can visualize intrisic properties of the points that fall within each histogram bin to trace gradients in a variable z atop an x,y density distribution.
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
# Set number of scatter points
N = 5000
# Generate random data
x = np.random.normal(size=N)
y = np.random.normal(size=N)
z = 10 * x # In this example z is correlated with x
# Create hexbin dots plot
fig = plot_hexbin_dots(x,y,z, label_hex='Hex Density', label_dots='Median Value per Hex')
# Customize axes with returned figure object
ax = fig.get_axes()[2]
ax.set_xlim([-4,4]); ax.set_ylim([-4,4])
ax.set_xlabel('x [units]'); ax.set_ylabel('y [units]') 