HTML exportieren¶
Es kann auch eine eigenständige HTML-Datei mit Bokeh-Inhalten generiert werden. Dies wird erreicht durch den Aufruf der Funktion output_file ("….html")
:
[1]:
from bokeh.io import output_notebook, show
output_notebook()
[2]:
import bokeh.sampledata
bokeh.sampledata.download()
Using data directory: /Users/veit/.bokeh/data
Skipping 'CGM.csv' (checksum match)
Skipping 'US_Counties.zip' (checksum match)
Skipping 'us_cities.json' (checksum match)
Skipping 'unemployment09.csv' (checksum match)
Skipping 'AAPL.csv' (checksum match)
Skipping 'FB.csv' (checksum match)
Skipping 'GOOG.csv' (checksum match)
Skipping 'IBM.csv' (checksum match)
Skipping 'MSFT.csv' (checksum match)
Skipping 'WPP2012_SA_DB03_POPULATION_QUINQUENNIAL.zip' (checksum match)
Skipping 'gapminder_fertility.csv' (checksum match)
Skipping 'gapminder_population.csv' (checksum match)
Skipping 'gapminder_life_expectancy.csv' (checksum match)
Skipping 'gapminder_regions.csv' (checksum match)
Skipping 'world_cities.zip' (checksum match)
Skipping 'airports.json' (checksum match)
Skipping 'movies.db.zip' (checksum match)
Skipping 'airports.csv' (checksum match)
Skipping 'routes.csv' (checksum match)
Skipping 'haarcascade_frontalface_default.xml' (checksum match)
Skipping 'SampleSuperstore.csv.zip' (checksum match)
[3]:
import pandas as pd
from bokeh.plotting import figure
from bokeh.sampledata.stocks import AAPL
df = pd.DataFrame(AAPL)
df["date"] = pd.to_datetime(df["date"])
[5]:
p = figure(width=800, height=250, x_axis_type="datetime")
p.line(df["date"], df["close"], color="navy", alpha=0.5)
[5]:
GlyphRenderer(
id = 'p1092', …)
Schließlich konfigurieren wir mit output_file die Ausgabe von show()
:
[6]:
from bokeh.io import output_file, show
output_file("plot.html")
show(p)