/maxes.py (944337088f060aabe029b611c27145bb28de4b38) (1364 bytes) (mode 100644) (type blob)
#!/usr/bin/env python
# coding: utf-8
# Axes level functions (for Matplotlib)
#č Založme nový modul pro funkce (procedury),
#č které sice stejně jako mart pracují na urovni axes,
#č ale na rozdil od atomických funkcí mart modulu
#č udělaj z prazdných os hotový obrazek.
#č mplot.show2D() může použivat tuhle nabídku obrázků.
from . import mart
# it is mostly for qt_plot, it offers availiable options to user
__all__ = ['base_drawing', 'candidates_drawing']
def base_drawing(ax):
mart.setup(ax)
mart.curly(ax)
try:
mart.triplot(ax, color="grey", linewidth=0.4)
except:
pass
mart.plot_boundaries(ax, linewidth=0.7)
mart.scatter_points(ax)
def candidates_drawing(ax):
try:
mart.triplot(ax, color="grey", linewidth=0.4)
except:
pass
mart.plot_boundaries(ax, linewidth=0.7)
#č ax.scatter posílá parameter cmap Collections třídě.
#č Třída mimo jiného dědí cm.ScalarMappable,
#č která inicializaci deleguje funkci cm.get_cmap() ve (svém) modulu cm.
# cmap='viridis_r' #cmap='plasma',
mart.scatter_candidates(ax, s=5, marker='.', cmap='plasma_r',\
alpha=None, linewidths=None, edgecolors=None, plotnonfinite=False)
mart.plot_the_best_candidate(ax, "^", color='#3D0D5B')
mart.scatter_points(ax)
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IS_stat.py |
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__init__.py |
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blackbox.py |
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candybox.py |
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convex_hull.py |
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dicebox.py |
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estimation.py |
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f_models.py |
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g_models.py |
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ghull.py |
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gl_plot.py |
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gp_plot.py |
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lukiskon.py |
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mart.py |
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mart3d.py |
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maxes.py |
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mgraph.py |
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misc.py |
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mplot.py |
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plot.py |
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plotly_plot.py |
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qt_plot.py |
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reader.py |
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samplebox.py |
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sball.py |
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sball_old.py |
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schemes.py |
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shapeshare.py |
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simplex.py |
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spring.py |
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stm_df.py |
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testcases_2D.py |
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welford.py |
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whitebox.py |
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