In [1]:
import pandas as pd
from bokeh.plotting import output_notebook, show
output_notebook()
In [2]:
from bokeh.models import Plot, Patch, Patches, Line, MultiLine, ColumnDataSource, Range1d, LinearAxis, HoverTool
from bokeh.palettes import Spectral3, Spectral4
from bokeh._version import version_version
from numpy import NAN
In [3]:
version_version
Out[3]:
In [4]:
patch_data = pd.DataFrame(
{
'oil' : [1, 2, 3, 1],
'gas' : [3, 2, 2, 3],
'solar': [0, 1, 1, 1]
},
index= [2010, 2011, 2012, 2013]
)
patch_data
Out[4]:
In [28]:
def make_patch_plot(xrange, data):
source = ColumnDataSource(data)
plot = Plot(
title=None,
x_range=xrange, y_range=Range1d(0,5),
plot_width=300, plot_height=300,
min_border=0, toolbar_location=None)
for i, energy in enumerate(['gas', 'oil', 'solar']):
glyph = Patch(
x='index', y=energy,
fill_color=Spectral3[i], fill_alpha=0.5,
line_color='#CCC', line_alpha=0.5
)
plot.add_glyph(source, glyph)
return plot
patch = make_patch_plot(Range1d(2010, 2013), patch_data)
show(patch)
In [29]:
def make_line_plot(xrange, data):
source = ColumnDataSource(data)
plot = Plot(
title=None,
x_range=xrange, y_range=Range1d(0,5),
plot_width=300, plot_height=300,
min_border=0, toolbar_location=None)
for i, energy in enumerate(['gas', 'oil', 'solar']):
glyph = Line(
x='index', y=energy,
line_color=Spectral3[i], line_alpha=0.5, line_width=5
)
plot.add_glyph(source, glyph)
return plot
line = make_line_plot(Range1d(2010, 2013), patch_data)
show(line)
In [7]:
patches_data = pd.DataFrame(
{
'xs' : [[1, 2, 3, 1], [2, 4, 6, 2], [3, 6, 9, 3], [1, -1, -2, 0] ],
'ys' : [[0, 1, 5, -1], [8, -3, 4, 0], [3, 4, 5, 4], [1, 4, 0, 2]],
'value': [Spectral4[0], Spectral4[1], Spectral4[2], Spectral4[3]]
},
)
patches_data
Out[7]:
In [62]:
def make_patches_plot(xrange, yrange, data):
source = ColumnDataSource(data)
plot = Plot(
title=None,
x_range=xrange, y_range=yrange,
plot_width=300, plot_height=300,
min_border=0, toolbar_location=None)
glyph = Patches(
xs='xs', ys='ys',
fill_color='value', fill_alpha=0.8,
line_color='#CCC', line_alpha=0.8)
plot.add_glyph(source, glyph)
return plot
patches = make_patches_plot(Range1d(-5, 10), Range1d(-5,10), patches_data)
show(patches)
In [70]:
def make_multiline_plot(xrange, yrange, data):
source = ColumnDataSource(data)
plot = Plot(
title=None,
x_range=xrange, y_range=yrange,
plot_width=300, plot_height=300,
min_border=0, toolbar_location=None)
glyph = MultiLine(xs='xs', ys='ys', line_color='value', line_width=5, line_alpha=0.8)
plot.add_glyph(source, glyph)
return plot
multiline = make_multiline_plot(Range1d(-5, 10), Range1d(-5,10), patches_data)
show(multiline)
In [71]:
patch_with_hole_data = pd.DataFrame(
{
'oil' : [1, 2, 1, NAN, 3, 1, 2, 1],
'gas' : [3, 2, 2, NAN, 2, 3, 4, 1],
'solar': [0, 1, 3, 2, NAN, 1, 4, 5]
},
index= [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017]
)
patch_with_hole_data
Out[71]:
In [72]:
patch_with_hole = make_patch_plot(Range1d(2010, 2017), patch_with_hole_data)
show(patch_with_hole)
In [73]:
line_with_hole = make_line_plot(Range1d(2010, 2016), patch_with_hole_data)
show(line_with_hole)
In [80]:
patches_with_hole_data = pd.DataFrame(
{
'xs' : [[1, 2, 3, NAN, 3, 1, 2], [2, 4, 5, NAN, 6, 2, 1], [3, 6, 8, NAN, 9, 3, 4], [1, -1, 2, NAN, 2, -2, 0] ],
'ys' : [[0, 1, -1, NAN, 5, -1, -2], [8, -3, 5, NAN, 4, 0, 1], [3, 4, 2, NAN, 5, 4, 6], [1, 4, 6, NAN, 1, 0, 2] ],
'value': [Spectral4[0], Spectral4[1], Spectral4[2], Spectral4[3]]
},
)
patches_with_hole_data
Out[80]:
In [81]:
patches_with_hole = make_patches_plot(Range1d(-5, 10), Range1d(-5,10), patches_with_hole_data)
show(patches_with_hole)
In [82]:
multiline_with_holes = make_multiline_plot(Range1d(-5, 10), Range1d(-5,10), patches_with_hole_data)
show(multiline_with_holes)
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