mirror of
https://github.com/Estom/notes.git
synced 2026-02-07 12:35:20 +08:00
77 lines
2.2 KiB
Markdown
77 lines
2.2 KiB
Markdown
# MATPLOTLIB UNCHAINED
|
||
|
||
脉冲星的假信号频率的比较路径演示（主要是因为Joy Division的未知乐趣的封面而闻名）。
|
||
|
||
作者：Nicolas P. Rougier
|
||
|
||
|
||
|
||
```python
|
||
import numpy as np
|
||
import matplotlib.pyplot as plt
|
||
import matplotlib.animation as animation
|
||
|
||
# Fixing random state for reproducibility
|
||
np.random.seed(19680801)
|
||
|
||
|
||
# Create new Figure with black background
|
||
fig = plt.figure(figsize=(8, 8), facecolor='black')
|
||
|
||
# Add a subplot with no frame
|
||
ax = plt.subplot(111, frameon=False)
|
||
|
||
# Generate random data
|
||
data = np.random.uniform(0, 1, (64, 75))
|
||
X = np.linspace(-1, 1, data.shape[-1])
|
||
G = 1.5 * np.exp(-4 * X ** 2)
|
||
|
||
# Generate line plots
|
||
lines = []
|
||
for i in range(len(data)):
|
||
# Small reduction of the X extents to get a cheap perspective effect
|
||
xscale = 1 - i / 200.
|
||
# Same for linewidth (thicker strokes on bottom)
|
||
lw = 1.5 - i / 100.0
|
||
line, = ax.plot(xscale * X, i + G * data[i], color="w", lw=lw)
|
||
lines.append(line)
|
||
|
||
# Set y limit (or first line is cropped because of thickness)
|
||
ax.set_ylim(-1, 70)
|
||
|
||
# No ticks
|
||
ax.set_xticks([])
|
||
ax.set_yticks([])
|
||
|
||
# 2 part titles to get different font weights
|
||
ax.text(0.5, 1.0, "MATPLOTLIB ", transform=ax.transAxes,
|
||
ha="right", va="bottom", color="w",
|
||
family="sans-serif", fontweight="light", fontsize=16)
|
||
ax.text(0.5, 1.0, "UNCHAINED", transform=ax.transAxes,
|
||
ha="left", va="bottom", color="w",
|
||
family="sans-serif", fontweight="bold", fontsize=16)
|
||
|
||
|
||
def update(*args):
|
||
# Shift all data to the right
|
||
data[:, 1:] = data[:, :-1]
|
||
|
||
# Fill-in new values
|
||
data[:, 0] = np.random.uniform(0, 1, len(data))
|
||
|
||
# Update data
|
||
for i in range(len(data)):
|
||
lines[i].set_ydata(i + G * data[i])
|
||
|
||
# Return modified artists
|
||
return lines
|
||
|
||
# Construct the animation, using the update function as the animation director.
|
||
anim = animation.FuncAnimation(fig, update, interval=10)
|
||
plt.show()
|
||
```
|
||
|
||
## 下载这个示例
|
||
|
||
- [下载python源码: unchained.py](https://matplotlib.org/_downloads/unchained.py)
|
||
- [下载Jupyter notebook: unchained.ipynb](https://matplotlib.org/_downloads/unchained.ipynb) |