PyDLC - Density Line Charts with Python
Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize large collections of time series.
Installation
Python Package Index
$ pip install pydlc
Requirements
Usage
The following example shows how to import and use the dense_lines plotting function.
import numpy as np
import matplotlib.pyplot as plt
from pydlc import dense_lines
# Generate random synthetic time series
x = np.linspace(0, 100, 50)
ys = []
for _ in range(1000):
ys.append(3 + 1.5*np.random.randn(1)*np.exp(-x/100))
# Plot here
fig, axs = plt.subplots(1, 2, figsize=(8, 3), sharey=True, sharex=True)
axs[0].plot(x, np.array(ys).T, lw=1)
axs[0].set_title('Line Chart')
im = dense_lines(ys, x=x, ax=axs[1], cmap='magma') # accepts plt.imshow() kwargs
axs[1].set_title('Density Lines Chart')
fig.colorbar(im)
fig.tight_layout()
plt.show()
Limitations
The vertical grid size can be adjusted with the ny parameter. Higher values of ny yield a smoother density visualization. However, the horizontal grid size is currently limited to the same size as the input sequences and there is no parameter to adjust it (yet).
Algorithm
This graphical abstract explains the algorithm (source).
1.2k Feb 18, 2021
299 Feb 13, 2021
3 Jul 2, 2022
0 Jun 25, 2022
2 Apr 13, 2022
50 Dec 30, 2022
46 Dec 16, 2022
1.7k Jan 9, 2023
366 Oct 27, 2022
1k Jan 01, 2023
4 Apr 14, 2022
497 Dec 29, 2022
2 Jun 08, 2022
7 Jul 06, 2022
2 Mar 29, 2022
7 Dec 21, 2022
8.6k Dec 31, 2022
1 Nov 04, 2021
990 Jan 05, 2023
1.6k Jan 08, 2023
144 Dec 14, 2022
719 Jan 04, 2023
4 Nov 25, 2022
13.1k Jan 03, 2023
13 Oct 12, 2022
5 Sep 02, 2022
3 Oct 10, 2022
5 Jun 02, 2022