- Plotly
- Bokeh
import wandb
import plotly.express as px
# Initialiser une nouvelle exécution
with wandb.init(project="log-plotly-fig-tables", name="plotly_html") as run:
# Créer un tableau
table = wandb.Table(columns=["plotly_figure"])
# Définir le chemin de la figure Plotly
path_to_plotly_html = "./plotly_figure.html"
# Créer une figure Plotly
fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])
# Exporter la figure Plotly au format HTML
# Définir auto_play sur False empêche les graphiques Plotly animés de se lancer automatiquement
fig.write_html(path_to_plotly_html, auto_play=False)
# Ajouter la figure Plotly en tant que fichier HTML au tableau
table.add_data(wandb.Html(path_to_plotly_html))
# Journaliser le tableau
run.log({"test_table": table})
from scipy.signal import spectrogram
import holoviews as hv
import panel as pn
from scipy.io import wavfile
import numpy as np
from bokeh.resources import INLINE
hv.extension("bokeh", logo=False)
import wandb
def save_audio_with_bokeh_plot_to_html(audio_path, html_file_name):
sr, wav_data = wavfile.read(audio_path)
duration = len(wav_data) / sr
f, t, sxx = spectrogram(wav_data, sr)
spec_gram = hv.Image((t, f, np.log10(sxx)), ["Time (s)", "Frequency (Hz)"]).opts(
width=500, height=150, labelled=[]
)
audio = pn.pane.Audio(wav_data, sample_rate=sr, name="Audio", throttle=500)
slider = pn.widgets.FloatSlider(end=duration, visible=False)
line = hv.VLine(0).opts(color="white")
slider.jslink(audio, value="time", bidirectional=True)
slider.jslink(line, value="glyph.location")
combined = pn.Row(audio, spec_gram * line, slider).save(html_file_name)
html_file_name = "audio_with_plot.html"
audio_path = "hello.wav"
save_audio_with_bokeh_plot_to_html(audio_path, html_file_name)
wandb_html = wandb.Html(html_file_name)
with wandb.init(project="audio_test") as run:
my_table = wandb.Table(columns=["audio_with_plot"], data=[[wandb_html], [wandb_html]])
run.log({"audio_table": my_table})
Experiments Tables Graphiques