![]() In the example below, we use the building grid layout support of Pandas Bokeh to display both the DataFrame (embedded in a Div) and the resulting scatterplot: #Load Iris Dataset from Scikit Learn:ĭf = df.map(dict(zip(range(3), iris)))ĭiv_df = Div(text=df.head(10).to_html(index=False), Note, that the _bokeh() method return per default a Bokeh figure, which can be embedded in Dashboard layouts with other figures and Bokeh objects (for more details about (sub)plot layouts and embedding the resulting Bokeh plots as HTML click here). For scatterplots, the x and y parameters have to be specified and the following optional keyword argument is allowed:Ĭategory: Determines the category column to use for coloring the scatter points import numpy as npĭf = pd.DataFrame()Ī basic scatterplot can be created using the kind="scatter" option. Note: If the x parameter is not specified, the index is used for the x-values of the plot. by clicking on the legend elements, one can hide and show the individual lines. ![]() a pannable and zoomable (zoom in plotarea and zoom on axis) plot.This simple lineplot already contains various interactive elements: Pandas_bokeh.output_file("Interactive Plot.html") Notebook output (see also bokeh.io.output_notebook) import pandas as pdįile output to "Interactive Plot.html" (see also bokeh.io.output_file) import pandas as pd pandas_bokeh.output_file(filename): Exports the plot to the provided filename as an HTML.įor more details about the plotting outputs, see the reference here or the Bokeh documentation.pandas_bokeh.output_notebook(): Embeds the Plots in the cell outputs of the notebook.After the import, one should define the plotting output, which can be: The Pandas-Bokeh library should be imported after Pandas. Pandas Bokeh is supported on Python 2.7, as well as Python 3.6 and above. BOKEH PLOT INSTALLYou can install Pandas Bokeh from PyPI via pip: pip install pandas-bokeh With Pandas Bokeh, creating stunning, interactive, HTML-based visualization is as easy as calling: df.plot_bokeh() ![]() BOKEH PLOT SERIESImporting the library adds a complementary plotting method plot_bokeh() on DataFrames and Series (and also on GeoDataFrames). Pandas Bokeh provides a Bokeh plotting backend for Pandas and GeoPandas, similar to the already existing Visualization feature of Pandas. ![]()
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