Simple Split X axes for matplotlib
Use gridspec to generate nxm grids of figures where the x axis on each figure may be an split arbitrary number of times.
The axes object presented by this package is similar (though not identical) to the axes object presented by matplotlib. This allows for a good amount of plotting code to be directly ported.
Installation
From source
git clone https://github.com/tboudreaux/splitAxes.git
cd splitAxes
pip instal -e .From PyPi
pip install splitAxesExamples
from splitAxes import split_grid
import numpy as np
import matplotlib.pyplot as plt
figRows = 2
figColums = 2
# this is a matrix of size rows x colums. Each entry in the matrix is the number of splits (NOT the number of final panels, which will be 1 + the number of splits) to generate
splitMatrix=np.array([[3,1],[0,2]])
fig, axs = split_grid(figRows, figColums, splitMatrix, figsize=(15,7))
# Example Data
X = np.linspace(-10,50, 1000)
Y = np.exp(-(X-0)**2) + np.exp(-(X-10)**2) + np.exp(-(X-20)**2)
axs[0,0].set_xlim(0,45)
axs[0,0].set_ylabel("Bob")
axs[1,0].plot(X,Y, color='green')
axs[1,1].scatter([0,3,4],[5,4,2])
axs[0,1].set_xlabel("Dave", position="manual", labelpos=0.67)
axs[1,0].fill_between([0,10], 0.3, alpha=0.5, color='blue')
plt.show()This should produce an output that looks something like
