How to set the text in an SVG image as text instead of paths when saving the SVG, so that it can be edited in Adobe Illustrator?

HoloViews
1

How to set the text in an SVG image as text instead of paths when saving the SVG, so that it can be edited in Adobe Illustrator?

2

Can you share how you exported it? Is it through bokeh? If so, you may want to raise an issue in Bokeh GitHub

3

Thanks for the reply, I used the following code for plotting and saving：

import pandas as pd
import holoviews as hv
from holoviews import opts
hv.extension('matplotlib')
macro_df = pd.read_csv('http://assets.holoviews.org/macro.csv', delimiter='\t')
key_dimensions   = [('year', 'Year'), ('country', 'Country')]
value_dimensions = [('unem', 'Unemployment'), ('capmob', 'Capital Mobility'),
                    ('gdp', 'GDP Growth'), ('trade', 'Trade')]
macro = hv.Table(macro_df, key_dimensions, value_dimensions)
bars=macro.to.bars(['Year', 'Country'], 'Trade', []).opts(
    opts.Bars(aspect=3, color=hv.Cycle('tab20'), legend_position='right', fig_size=300, legend_cols=2, stacked=True, xrotation=90))
bars
hv.save(bars, 'trade_bars.svg')
4

If you export matplotlib plots in SVG does it use paths too?

hv.renderer("matplotlib").get_plot(bars)
plt.savefig("test.svg")

If so, I think it’s a matplotlib issue.

5

When I change to the above command, the generated svg is blank, no graphics

import pandas as pd
import holoviews as hv
from holoviews import opts
import matplotlib.pyplot as plt
hv.extension(‘matplotlib’)
macro_df = pd.read_csv(‘http://assets.holoviews.org/macro.csv’, delimiter=‘\t’)
key_dimensions = [(‘year’, ‘Year’), (‘country’, ‘Country’)]
value_dimensions = [(‘unem’, ‘Unemployment’), (‘capmob’, ‘Capital Mobility’),
(‘gdp’, ‘GDP Growth’), (‘trade’, ‘Trade’)]
macro = hv.Table(macro_df, key_dimensions, value_dimensions)
bars=macro.to.bars([‘Year’, ‘Country’], ‘Trade’, ).opts(
opts.Bars(aspect=3, color=hv.Cycle(‘tab20’), legend_position=‘right’, fig_size=300, legend_cols=2, stacked=True, xrotation=90))
hv.renderer(“matplotlib”).get_plot(bars)
plt.savefig(“test.svg”)