本文整理汇总了Python中matplotlib.colorbar.ColorbarBase方法的典型用法代码示例。如果您正苦于以下问题:Python colorbar.ColorbarBase方法的具体用法?Python colorbar.ColorbarBase怎么用?Python colorbar.ColorbarBase使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.colorbar
的用法示例。
在下文中一共展示了colorbar.ColorbarBase方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: plotTZ
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def plotTZ(filename=None):
t = np.linspace(0, 1, 101)
z = 0.25 + 0.5 / (1 + np.exp(- 20 * (t - 0.5))) + 0.05 * np.cos(t * 2 * np.pi)
cmap = cm.get_cmap('cool')
fig, (ax1, ax2) = plt.subplots(1, 2, gridspec_kw = {'width_ratios':[19, 1]})
poly1 = [[0, 0]]
poly1.extend([[t[i], z[i]] for i in range(t.size)])
poly1.extend([[1, 0], [0, 0]])
poly2 = [[0, 1]]
poly2.extend([[t[i], z[i]] for i in range(t.size)])
poly2.extend([[1, 1], [0, 1]])
poly1 = plt.Polygon(poly1,fc=cmap(0.0))
poly2 = plt.Polygon(poly2,fc=cmap(1.0))
ax1.add_patch(poly1)
ax1.add_patch(poly2)
ax1.set_xlabel('x1', size=22)
ax1.set_ylabel('x2', size=22)
ax1.set_title('True Data', size=28)
colorbar.ColorbarBase(ax2, cmap=cmap, format='%.1f')
ax2.set_ylabel('Output y', size=22)
plt.show()
if not filename is None:
plt.savefig(filename, format="pdf", bbox_inches="tight")
plt.close()
示例2: plotTZ
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def plotTZ(filename=None):
cmap = cm.get_cmap('cool')
fig, (ax1, ax2) = plt.subplots(1, 2, gridspec_kw = {'width_ratios':[19, 1]})
ax1.add_patch(pl.Rectangle(xy=[0, 0], width=0.5, height=0.5, facecolor=cmap(0.0), linewidth='2.0'))
ax1.add_patch(pl.Rectangle(xy=[0.5, 0.5], width=0.5, height=0.5, facecolor=cmap(0.0), linewidth='2.0'))
ax1.add_patch(pl.Rectangle(xy=[0, 0.5], width=0.5, height=0.5, facecolor=cmap(1.0), linewidth='2.0'))
ax1.add_patch(pl.Rectangle(xy=[0.5, 0], width=0.5, height=0.5, facecolor=cmap(1.0), linewidth='2.0'))
ax1.set_xlabel('x1', size=22)
ax1.set_ylabel('x2', size=22)
ax1.set_title('True Data', size=28)
colorbar.ColorbarBase(ax2, cmap=cmap, format='%.1f')
ax2.set_ylabel('Output y', size=22)
plt.show()
if not filename is None:
plt.savefig(filename, format="pdf", bbox_inches="tight")
plt.close()
示例3: spikesplot_cb
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def spikesplot_cb(position, cmap="viridis", fig=None):
# Add colorbar
if fig is None:
fig = plt.gcf()
cax = fig.add_axes(position)
cb = ColorbarBase(
cax,
cmap=cm.get_cmap(cmap),
spacing="proportional",
orientation="horizontal",
drawedges=False,
)
cb.set_ticks([0, 0.5, 1.0])
cb.set_ticklabels(["Inferior", "(axial slice)", "Superior"])
cb.outline.set_linewidth(0)
cb.ax.xaxis.set_tick_params(width=0)
return cax
示例4: plotRule
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def plotRule(mdl, X, d1, d2, alpha=0.8, filename='', rnum=-1, plot_line=[]):
cmap = cm.get_cmap('cool')
fig, (ax1, ax2) = plt.subplots(1, 2, gridspec_kw = {'width_ratios':[19, 1]})
if rnum <= 0:
rnum = len(mdl.rule_)
else:
rnum = min(len(mdl.rule_), rnum)
idx = np.argsort(mdl.weight_[:rnum])
for i in range(rnum):
r = mdl.rule_[idx[i]]
box, vmin, vmax = __r2boxWithX(r, X)
if mdl.modeltype_ == 'regression':
c = cmap(mdl.pred_[idx[i]])
elif mdl.modeltype_ == 'classification':
r = mdl.pred_[idx[i]] / max(np.unique(mdl.pred_).size - 1, 1)
c = cmap(r)
ax1.add_patch(pl.Rectangle(xy=[box[0, d1], box[0, d2]], width=(box[1, d1] - box[0, d1]), height=(box[1, d2] - box[0, d2]), facecolor=c, linewidth='2.0', alpha=alpha))
if len(plot_line) > 0:
for l in plot_line:
ax1.plot(l[0], l[1], 'k--')
ax1.set_xlabel('x1', size=22)
ax1.set_ylabel('x2', size=22)
ax1.set_title('Simplified Model (K = %d)' % (rnum,), size=28)
colorbar.ColorbarBase(ax2, cmap=cmap, format='%.1f')
ax2.set_ylabel('Predictor y', size=22)
plt.show()
if not filename == '':
plt.savefig(filename, format="pdf", bbox_inches="tight")
plt.close()
示例5: plotEachRule
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def plotEachRule(mdl, X, d1, d2, alpha=0.8, filename='', rnum=-1, plot_line=[]):
if rnum <= 0:
rnum = len(mdl.rule_)
else:
rnum = min(len(mdl.rule_), rnum)
m = rnum // 4
if m * 4 < rnum:
m += 1
cmap = cm.get_cmap('cool')
fig, ax = plt.subplots(m, 4 + 1, figsize=(4 * 4, 3 * m), gridspec_kw = {'width_ratios':[15, 15, 15, 15, 1]})
idx = np.argsort(mdl.weight_[:rnum])
for i in range(rnum):
j = i // 4
k = i - 4 * j
r = mdl.rule_[idx[i]]
box, vmin, vmax = __r2boxWithX(r, X)
if mdl.modeltype_ == 'regression':
c = cmap(mdl.pred_[idx[i]])
elif mdl.modeltype_ == 'classification':
r = mdl.pred_[idx[i]] / max(np.unique(mdl.pred_).size - 1, 1)
c = cmap(r)
ax[j, k].add_patch(pl.Rectangle(xy=[box[0, d1], box[0, d2]], width=(box[1, d1] - box[0, d1]), height=(box[1, d2] - box[0, d2]), facecolor=c, linewidth='2.0', alpha=alpha))
if len(plot_line) > 0:
for l in plot_line:
ax[j, k].plot(l[0], l[1], 'k--')
ax[j, k].set_xlim([0, 1])
ax[j, k].set_ylim([0, 1])
if k == 3:
cbar = colorbar.ColorbarBase(ax[j, -1], cmap=cmap, format='%.1f', ticks=[0.0, 0.5, 1.0])
cbar.ax.set_yticklabels([0.0, 0.5, 1.0])
ax[j, -1].set_ylabel('Predictor y', size=12)
plt.show()
if not filename == '':
plt.savefig(filename, format="pdf", bbox_inches="tight")
plt.close()
示例6: _colorbar_extension_shape
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def _colorbar_extension_shape(spacing):
'''
Produce 4 colorbars with rectangular extensions for either uniform
or proportional spacing.
Helper function for test_colorbar_extension_shape.
'''
# Get a colormap and appropriate norms for each extension type.
cmap, norms = _get_cmap_norms()
# Create a figure and adjust whitespace for subplots.
fig = plt.figure()
fig.subplots_adjust(hspace=4)
for i, extension_type in enumerate(('neither', 'min', 'max', 'both')):
# Get the appropriate norm and use it to get colorbar boundaries.
norm = norms[extension_type]
boundaries = values = norm.boundaries
# Create a subplot.
cax = fig.add_subplot(4, 1, i + 1)
# Turn off text and ticks.
for item in cax.get_xticklabels() + cax.get_yticklabels() +\
cax.get_xticklines() + cax.get_yticklines():
item.set_visible(False)
# Generate the colorbar.
cb = ColorbarBase(cax, cmap=cmap, norm=norm,
boundaries=boundaries, values=values,
extend=extension_type, extendrect=True,
orientation='horizontal', spacing=spacing)
# Return the figure to the caller.
return fig
示例7: _colorbar_extension_length
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def _colorbar_extension_length(spacing):
'''
Produce 12 colorbars with variable length extensions for either
uniform or proportional spacing.
Helper function for test_colorbar_extension_length.
'''
# Get a colormap and appropriate norms for each extension type.
cmap, norms = _get_cmap_norms()
# Create a figure and adjust whitespace for subplots.
fig = plt.figure()
fig.subplots_adjust(hspace=.6)
for i, extension_type in enumerate(('neither', 'min', 'max', 'both')):
# Get the appropriate norm and use it to get colorbar boundaries.
norm = norms[extension_type]
boundaries = values = norm.boundaries
for j, extendfrac in enumerate((None, 'auto', 0.1)):
# Create a subplot.
cax = fig.add_subplot(12, 1, i*3 + j + 1)
# Turn off text and ticks.
for item in cax.get_xticklabels() + cax.get_yticklabels() +\
cax.get_xticklines() + cax.get_yticklines():
item.set_visible(False)
# Generate the colorbar.
cb = ColorbarBase(cax, cmap=cmap, norm=norm,
boundaries=boundaries, values=values,
extend=extension_type, extendfrac=extendfrac,
orientation='horizontal', spacing=spacing)
# Return the figure to the caller.
return fig
示例8: test_colorbarbase
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def test_colorbarbase():
# smoke test from #3805
ax = plt.gca()
ColorbarBase(ax, plt.cm.bone)
示例9: test_SymLogNorm_colorbar
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def test_SymLogNorm_colorbar():
"""
Test un-called SymLogNorm in a colorbar.
"""
norm = mcolors.SymLogNorm(0.1, vmin=-1, vmax=1, linscale=1)
fig = plt.figure()
cbar = mcolorbar.ColorbarBase(fig.add_subplot(111), norm=norm)
plt.close(fig)
示例10: test_SymLogNorm_single_zero
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def test_SymLogNorm_single_zero():
"""
Test SymLogNorm to ensure it is not adding sub-ticks to zero label
"""
fig = plt.figure()
norm = mcolors.SymLogNorm(1e-5, vmin=-1, vmax=1)
cbar = mcolorbar.ColorbarBase(fig.add_subplot(111), norm=norm)
ticks = cbar.get_ticks()
assert sum(ticks == 0) == 1
plt.close(fig)
示例11: _colorbar_extension_shape
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def _colorbar_extension_shape(spacing):
'''
Produce 4 colorbars with rectangular extensions for either uniform
or proportional spacing.
Helper function for test_colorbar_extension_shape.
'''
# Get a colormap and appropriate norms for each extension type.
cmap, norms = _get_cmap_norms()
# Create a figure and adjust whitespace for subplots.
fig = plt.figure()
fig.subplots_adjust(hspace=4)
for i, extension_type in enumerate(('neither', 'min', 'max', 'both')):
# Get the appropriate norm and use it to get colorbar boundaries.
norm = norms[extension_type]
boundaries = values = norm.boundaries
# Create a subplot.
cax = fig.add_subplot(4, 1, i + 1)
# Generate the colorbar.
cb = ColorbarBase(cax, cmap=cmap, norm=norm,
boundaries=boundaries, values=values,
extend=extension_type, extendrect=True,
orientation='horizontal', spacing=spacing)
# Turn off text and ticks.
cax.tick_params(left=False, labelleft=False,
bottom=False, labelbottom=False)
# Return the figure to the caller.
return fig
示例12: _colorbar_extension_length
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def _colorbar_extension_length(spacing):
'''
Produce 12 colorbars with variable length extensions for either
uniform or proportional spacing.
Helper function for test_colorbar_extension_length.
'''
# Get a colormap and appropriate norms for each extension type.
cmap, norms = _get_cmap_norms()
# Create a figure and adjust whitespace for subplots.
fig = plt.figure()
fig.subplots_adjust(hspace=.6)
for i, extension_type in enumerate(('neither', 'min', 'max', 'both')):
# Get the appropriate norm and use it to get colorbar boundaries.
norm = norms[extension_type]
boundaries = values = norm.boundaries
for j, extendfrac in enumerate((None, 'auto', 0.1)):
# Create a subplot.
cax = fig.add_subplot(12, 1, i*3 + j + 1)
# Generate the colorbar.
ColorbarBase(cax, cmap=cmap, norm=norm,
boundaries=boundaries, values=values,
extend=extension_type, extendfrac=extendfrac,
orientation='horizontal', spacing=spacing)
# Turn off text and ticks.
cax.tick_params(left=False, labelleft=False,
bottom=False, labelbottom=False)
# Return the figure to the caller.
return fig
示例13: test_colorbar_powernorm_extension
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def test_colorbar_powernorm_extension():
# Test that colorbar with powernorm is extended correctly
f, ax = plt.subplots()
cb = ColorbarBase(ax, norm=PowerNorm(gamma=0.5, vmin=0.0, vmax=1.0),
orientation='vertical', extend='both')
assert cb._values[0] >= 0.0
示例14: setup_axes
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def setup_axes(fig: Any, cmap: Any, norm: Any, position: List[Number_T]) -> tuple:
ax = fig.add_axes(position)
cbar = ColorbarBase(
ax, cmap=cmap, norm=norm, orientation="vertical", drawedges=False
)
cbar.ax.tick_params(axis="both", which="both", length=0, labelsize=10)
cbar.outline.set_visible(False)
return cbar
示例15: change_cbar_text
# 需要导入模块: from matplotlib import colorbar [as 别名]
# 或者: from matplotlib.colorbar import ColorbarBase [as 别名]
def change_cbar_text(cbar: ColorbarBase, tick: List[Number_T], text: List[str]):
cbar.set_ticks(tick)
cbar.set_ticklabels(text)