Scatter economic

Most examples work across multiple plotting backends, this example is also available for:

In [1]:
import numpy as np
import pandas as pd
import holoviews as hv
hv.extension('matplotlib')

Declaring data

In [2]:
macro_df = pd.read_csv('http://assets.holoviews.org/macro.csv', '\t')
key_dimensions   = [('year', 'Year'), ('country', 'Country')]
value_dimensions = [('unem', 'Unemployment'), ('capmob', 'Capital Mobility'),
                    ('gdp', 'GDP Growth'), ('trade', 'Trade')]
macro = hv.Table(macro_df, kdims=key_dimensions, vdims=value_dimensions)

Plot

In [3]:
%%output dpi=100
%%opts Scatter [scaling_method='width' scaling_factor=2 size_index=2 show_grid=True] 
%%opts Scatter (color=Cycle('tab20') edgecolors='k')
%%opts NdOverlay [legend_position='right' aspect=2, fig_size=250, show_frame=False]
gdp_unem_scatter = macro.to.scatter('Year', ['GDP Growth', 'Unemployment'])
gdp_unem_scatter.overlay('Country')
Out[3]:

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