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add a basic heatmap example #118
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46f7865
add heatmap example
AmitPress d4da234
add histogram support
AmitPress a30058c
Merge branch 'vlang:master' into master
AmitPress cf3c5b5
Merge branch 'vlang:master' into master
AmitPress cd3d3dd
Merge branch 'vlang:master' into master
AmitPress 5c2c6fd
Merge branch 'vlang:master' into master
AmitPress 53f6dc0
add basic heatmap example
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,23 @@ | ||
module main | ||
import vsl.plot | ||
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z := [[1.0, 0, 30, 50, 1], [20.0, 1, 60, 80, 30], [30.0, 60, 1, -10, 20]] | ||
x := ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'] | ||
y := ['Morning', 'Afternoon', 'Evening'] | ||
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mut plt := plot.new_plot() | ||
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plt.add_trace( | ||
trace_type: .heatmap | ||
x_str: x | ||
y_str: y | ||
z: z | ||
) | ||
plt.set_layout( | ||
title: 'Heatmap Basic Implementation' | ||
width: 750 | ||
height: 750 | ||
) | ||
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plt.show()? |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,49 @@ | ||
import plotly.graph_objects as go | ||
import numpy as np | ||
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# Build the rectangles as a heatmap | ||
# specify the edges of the heatmap squares | ||
phi = (1 + np.sqrt(5) )/2. # golden ratio | ||
xe = [0, 1, 1+(1/(phi**4)), 1+(1/(phi**3)), phi] | ||
ye = [0, 1/(phi**3), 1/phi**3+1/phi**4, 1/(phi**2), 1] | ||
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z = [ [13,3,3,5], | ||
[13,2,1,5], | ||
[13,10,11,12], | ||
[13,8,8,8] | ||
] | ||
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fig = go.Figure(data=go.Heatmap( | ||
x = np.sort(xe), | ||
y = np.sort(ye), | ||
z = z, | ||
type = 'heatmap', | ||
colorscale = 'Viridis')) | ||
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# Add spiral line plot | ||
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def spiral(th): | ||
a = 1.120529 | ||
b = 0.306349 | ||
r = a*np.exp(-b*th) | ||
return (r*np.cos(th), r*np.sin(th)) | ||
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theta = np.linspace(-np.pi/13,4*np.pi,1000); # angle | ||
(x,y) = spiral(theta) | ||
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fig.add_trace(go.Scatter(x= -x+x[0], y= y-y[0], | ||
line =dict(color='white',width=3))) | ||
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axis_template = dict(range = [0,1.6], autorange = False, | ||
showgrid = False, zeroline = False, | ||
linecolor = 'black', showticklabels = False, | ||
ticks = '' ) | ||
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fig.update_layout(margin = dict(t=200,r=200,b=200,l=200), | ||
xaxis = axis_template, | ||
yaxis = axis_template, | ||
showlegend = False, | ||
width = 700, height = 700, | ||
autosize = False ) | ||
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fig.show() |
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This can be done for vlang/vtl#30 on VTL since it provides ndarrays