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)