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Solarize_Light2 #3851

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3afdbf8
Solarize_Light2
ilivni Nov 26, 2014
79fc1f8
Solarized_License
ilivni Nov 26, 2014
a9e83a4
Example Script
ilivni Nov 26, 2014
668b025
Changed Name of File
ilivni Nov 26, 2014
6ab82cc
File Conventions
ilivni Nov 26, 2014
3fcd6d1
Deleted Some Empty Lines
ilivni Nov 27, 2014
f8faf18
Get Rid of white spaces 2
ilivni Nov 29, 2014
70d5d99
Solaraized Light Style File Fixed
ilivni Nov 29, 2014
f85ba42
style sheet remove white spaces
ilivni Nov 29, 2014
79c0e86
3rd Try White Spaces
ilivni Nov 30, 2014
c17c07d
Used PSPAD to check whitespace
ilivni Nov 30, 2014
a42bc6f
Set Sublime to UNIX Line style endings
ilivni Dec 1, 2014
4a48fc6
Tried Unix style line endings with sublime
ilivni Dec 1, 2014
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Get Rid of white spaces 2
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@ilivni
ilivni committed Nov 29, 2014
commit f8faf183af0f504f4e6183f3e5bb36ba2ae3599c
17 changes: 5 additions & 12 deletions examples/style_sheets/plot_solarizedlight2.py
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Expand Up @@ -4,21 +4,17 @@
tries to replicate the styles of:
- http://ethanschoonover.com/solarized
- https://github.com/jrnold/ggthemes
- http://pygal.org/builtin_styles/#idlight-solarized
and work of:
- https://github.com/tonysyu/mpltools
- http://pygal.org/builtin_styles/#idlight-solarized
and work of:
- https://github.com/tonysyu/mpltools
using all 8 accents of the color palette - starting with blue
ToDo:
- Create alpha values for bar and stacked charts. .33 or .5
- Apply Layout Rules
"""


from matplotlib import pyplot as plt
import numpy as np

x = np.linspace(0, 10)

with plt.style.context('Solarize_Light2'):
plt.plot(x, np.sin(x) + x + np.random.randn(50))
plt.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
Expand All @@ -27,12 +23,9 @@
plt.plot(x, np.sin(x) + 5 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 6 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 7 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 8 * x + np.random.randn(50))

plt.plot(x, np.sin(x) + 8 * x + np.random.randn(50))
#Number of accent colors in the color scheme
plt.title('8 Random Lines')

plt.title('8 Random Lines')
plt.xlabel('x label', fontsize=14)
plt.ylabel('y label', fontsize=14)

plt.show()