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
28 Dec 14, 2022
473 Dec 12, 2022
12.7k Jan 05, 2023
83 Nov 26, 2022
81 Dec 15, 2022
2.3k Dec 31, 2022
2.9k Dec 28, 2022
1.1k Jan 03, 2023
2 Dec 19, 2022
1 Jan 05, 2022
54 Oct 04, 2022
7 Dec 28, 2022
98 Dec 29, 2022
2 Dec 24, 2021
3 Jul 09, 2021
162 Dec 05, 2022
5 Nov 18, 2022
90 Dec 14, 2022
56 Dec 30, 2022