CODEWITHSUNDEEP
pythontime-seriesbokehscatter-plotholoviews
Daniel Lima
Daniel Lima

Reputation: 995

Holoviews colors and colorbar based on datetimes

I am new to holoviews and bokeh and I am trying to create a scatter plot from a time series where the colors are based on the dates. Something similar to the third code cell on this page: https://docs.pymc.io/notebooks/GLM-rolling-regression.html

Does anyone know how to do it?

Ps: I need to use holoviews with a bokeh backend.

Example:
holoviews colorbar based on datetime

Upvotes: 4

Views: 1914

Answers (1)

Sander van den Oord
Sander van den Oord

Reputation: 12818

I'm solving this by overwriting the tick labels of a colorbar with the dates by using parameter:

 colorbar_opts={
     'major_label_overrides'={}
 }

Here's a working example (simplified):

# import libraries
import numpy as np
import pandas as pd
import hvplot.pandas

# create sample data
X = np.random.normal(size=(2, 1000))

df = pd.DataFrame(
    data={
        'col1': X[0],
        'col2': X[1],
        # use 'date' to overwirte the ticklabels of the colorbar
        'date': pd.date_range(start='2017-01-01', freq='D', periods=1000),
    }
)

# use 'time_color' for the colorbar, since the colors need to be a float or int
df['time_color'] = df.index.to_series()


# draw scatter plot
# using the 'time_color' column to color the markers
# and overwrite the tick label using the date column

cbar_opts = dict(
                major_label_overrides  = df['date'].dt.strftime('%Y-%m-%d').to_dict(),
                major_label_text_align = 'left',
                )

hv_coloured = df.hvplot.points(x='col1', y='col2', c='time_color'
                              ).opts(colorbar_opts=cbar_opts, cmap='viridis')

hv_coloured

hv_coloured example


If you do `hv.help(hv.Points)` you can get more explanation on all available options around colorbar:

colorbar:
Whether to display a colorbar.

colorbar_opts:
Allows setting specific styling options for the colorbar overriding the options defined in the colorbar_specs class attribute. Includes location, orientation, height, width, scale_alpha, title, title_props, margin, padding, background_fill_color and more.

colorbar_position: Allows selecting between a number of predefined colorbar position options. The predefined options may be customized in the colorbar_specs class attribute.


This question pointed me in the right direction:

How do I manually set the tick locations of a colorbar for a Points plot in HoloViews?

Upvotes: 4

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