本文整理汇总了Python中matplotlib.colors.Normalize.inverse方法的典型用法代码示例。如果您正苦于以下问题：Python Normalize.inverse方法的具体用法？Python Normalize.inverse怎么用？Python Normalize.inverse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.colors.Normalize的用法示例。
在下文中一共展示了Normalize.inverse方法的1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: __init__
# 需要导入模块: from matplotlib.colors import Normalize [as 别名]
# 或者: from matplotlib.colors.Normalize import inverse [as 别名]
def __init__(self, cmap, vmin, vmax=None, label=True, label_position=None,
label_rotation=None,
clipmin=None, clipmax=None, orientation='horizontal',
unit=None, contours=(), width=None, ticks=None, threshold=None,
ticklocation='auto', background='white', tight=True,
h=None, w=None, *args, **kwargs):
# get Colormap
if isinstance(cmap, np.ndarray):
if threshold is not None:
raise NotImplementedError("threshold parameter with cmap=array")
if cmap.max() > 1:
cmap = cmap / 255.
cm = mpl.colors.ListedColormap(cmap, 'LUT')
else:
cm = mpl.cm.get_cmap(cmap)
# prepare layout
if orientation == 'horizontal':
if h is None and w is None:
h = 1
ax_aspect = 4
elif orientation == 'vertical':
if h is None and w is None:
h = 4
ax_aspect = 0.3
else:
raise ValueError("orientation=%s" % repr(orientation))
layout = Layout(1, ax_aspect, 2, tight, False, h, w, *args, **kwargs)
EelFigure.__init__(self, cm.name, layout)
ax = self._axes[0]
# translate between axes and data coordinates
if isinstance(vmin, Normalize):
norm = vmin
else:
vmin, vmax = fix_vlim_for_cmap(vmin, vmax, cm.name)
norm = Normalize(vmin, vmax)
# value ticks
if ticks is False:
ticks = ()
tick_labels = None
elif isinstance(ticks, dict):
tick_dict = ticks
ticks = sorted(tick_dict)
tick_labels = [tick_dict[t] for t in ticks]
else:
tick_labels = None
if orientation == 'horizontal':
axis = ax.xaxis
contour_func = ax.axhline
else:
axis = ax.yaxis
contour_func = ax.axvline
if label is True:
if unit:
label = unit
else:
label = cm.name
elif not label:
label = ''
# show only part of the colorbar
if clipmin is not None or clipmax is not None:
if isinstance(norm, SymmetricNormalize):
raise NotImplementedError(
"clipmin or clipmax with SymmetricNormalize")
boundaries = norm.inverse(np.linspace(0, 1, cm.N + 1))
if clipmin is None:
start = None
else:
start = np.digitize(clipmin, boundaries, True)
if clipmax is None:
stop = None
else:
stop = np.digitize(clipmax, boundaries) + 1
boundaries = boundaries[start:stop]
else:
boundaries = None
colorbar = ColorbarBase(ax, cm, norm, boundaries=boundaries,
orientation=orientation,
ticklocation=ticklocation, ticks=ticks,
label=label)
# fix tick location
if isinstance(norm, SymmetricNormalize) and ticks is not None:
tick_norm = Normalize(norm.vmin, norm.vmax, norm.clip)
axis.set_ticks(tick_norm(ticks))
# unit-based tick-labels
if unit and tick_labels is None:
formatter, label = find_axis_params_data(unit, label)
tick_labels = tuple(map(formatter, colorbar.get_ticks()))
if tick_labels is not None:
if clipmin is not None:
#.........这里部分代码省略.........