Bokeh Tutorial

1.4 Plotting - Climate

Exercise: Plot temperature anomaly monthly average for a given year and month by lat/lon with bokeh.plotting.image_rgba()

Data: 'data/Land_and_Ocean_LatLong1.nc'

Note: For your convienience, I'm providing an RGBAColorMapper



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from utils.colormap import RGBAColorMapper



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# Get the netCDF4 variable for temperature anomaly



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# Initialize the colormap with a bokeh palette and the low and high values for the scale.



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# Write a function ``get_slice(temperature_variable, year, month)`` that given a temperature variable, year and month
# returns an array of rgba colors. (Hint: Use RGBAColorMapper.color()).



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from bokeh.plotting import figure, output_notebook, show



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# Set output option



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# Get image data for a given year and month using the ``get_slice`` function



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# Create plot
# Tip: Make sure to set x_range and y_range appropriately



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# Show plot



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# Change the year and month and rerun the plot again.

Exercise: Overlay the worldmap boundaries in the temperature image plot



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# Get the worldmap data



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# Create your plot



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# Show plot