import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="tip", y="day", data=tips)
output_file("horizontalBar.html")
save(fig)
import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="day", y="total_bill", data=tips)
output_file("basicBarPlot.html")
save(fig)
import iSeaborn as isn
tips = isn.load_dataset("tips")
isn.barplot(x="day", y="total_bill", data=tips, palette="Blues_d", alpha=1.0)
import iSeaborn as isn
from bokeh.plotting import output_file, save
from numpy import median
tips = isn.load_dataset("tips")
fig = isn.barplot(x="day", y="tip", data=tips, estimator=median)
output_file("setDesiredEstimator.html")
save(fig)
import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="day", y="total_bill", data=tips, tools="pan, save")
output_file("chooseInteractiveTools.html")
save(fig)
import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="day",
y="total_bill",
data=tips,
plot_width=600,
plot_height=200,
plot_title="Awesome Plot Title")
output_file("setPlotProps.html")
save(fig)
import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="day", y="total_bill", data=tips, color="salmon")
output_file("setPrefferedColor.html")
save(fig)
import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="day", y="total_bill", data=tips, alpha=0.3)
output_file("vbarProps.html")
save(fig)
import iSeaborn as isn
from bokeh.plotting import output_file, save
tips = isn.load_dataset("tips")
fig = isn.barplot(x="time", y="tip", data=tips,order=["Lunch", "Dinner"])
output_file("controlPlotOrders.html")
save(fig)
