def test_stream_simple(self):
vid = Video(Streamer(mode="stream", delay=1000, close_window=True))
for k in range(3):
X = np.random.random((100, 2))
plt.scatter(X[:, 0], X[:, 1])
vid.record()
vid.close()
def test_html_embed_simple(self):
fname = "example.mp4"
vid = Video(HTML(File(fname), embedded=True))
for k in range(10):
X = np.random.random((100, 2))
plt.scatter(X[:, 0], X[:, 1])
vid.record()
vid.close()
self.assertTrue(os.path.exists("example.html"))
os.remove("example.html")
def test_gif_simple(self):
fname = "example.gif"
vid = Video(GIF(fname))
for k in range(10):
X = np.random.random((100, 2))
plt.scatter(X[:, 0], X[:, 1])
vid.record()
vid.close()
self.assertTrue(os.path.exists(fname))
os.remove(fname)
def test_html_wrap_simple(self):
fname = "example.mp4"
vid = Video(HTML(File(fname)))
for k in range(10):
X = np.random.random((100, 2))
plt.scatter(X[:, 0], X[:, 1])
vid.record()
vid.close()
self.assertTrue(os.path.exists(fname))
html = fname.replace("mp4", "html")
self.assertTrue(os.path.exists(html))
os.remove(fname)
os.remove(html)
def test_record_simple(self):
fname = "example.mp4"
vid = Video(File(fname), converter=Plotly())
df = px.data.iris()
for k in range(10):
rnd = np.random.rand(len(df)) < 0.7
fig = px.scatter(df.loc[rnd],
x="sepal_width",
y="sepal_length",
color="species",
size='petal_length')
vid.record(fig=fig)
vid.close()
self.assertTrue(os.path.exists(fname))
# START example
import numpy as np
from pyrecorder.recorders.file import File
from pyrecorder.video import Video
from pymoo.algorithms.nsga2 import NSGA2
from pymoo.visualization.scatter import Scatter
vid = Video(File("example.mp4"))
for k in range(10):
X = np.random.random((100, 2))
Scatter(title=str(k)).add(X).do()
vid.record()
vid.close()
# END example
# START ga
from pymoo.factory import get_problem
from pymoo.optimize import minimize
problem = get_problem("zdt1")
algorithm = NSGA2(pop_size=100, eliminate_duplicates=True)
ret = minimize(problem,
algorithm,
termination=('n_gen', 100),
seed=1,
save_history=True,
