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colormap no longer requires scipy.interpolate

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This commit is contained in:
Luke Campagnola 2014-03-10 13:06:54 -04:00
parent b398ccd0ce
commit 18ddff76f0
1 changed files with 17 additions and 13 deletions
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30
pyqtgraph/colormap.py
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@ -63,8 +63,8 @@ class ColorMap(object):
ignored. By default, the mode is entirely RGB. ignored. By default, the mode is entirely RGB.
=============== ============================================================== =============== ==============================================================
""" """
self.pos = pos self.pos = np.array(pos)
self.color = color self.color = np.array(color)
if mode is None: if mode is None:
mode = np.ones(len(pos)) mode = np.ones(len(pos))
self.mode = mode self.mode = mode
@ -83,11 +83,6 @@ class ColorMap(object):
qcolor Values are returned as an array of QColor objects. qcolor Values are returned as an array of QColor objects.
=========== =============================================================== =========== ===============================================================
""" """
try:
import scipy.interpolate
except:
raise Exception("Colormap.map() requires the package scipy.interpolate, but it could not be imported.")
if isinstance(mode, basestring): if isinstance(mode, basestring):
mode = self.enumMap[mode.lower()] mode = self.enumMap[mode.lower()]
@ -96,15 +91,24 @@ class ColorMap(object):
else: else:
pos, color = self.getStops(mode) pos, color = self.getStops(mode)
data = np.clip(data, pos.min(), pos.max()) # don't need this--np.interp takes care of it.
#data = np.clip(data, pos.min(), pos.max())
if not isinstance(data, np.ndarray): # Interpolate
interp = scipy.interpolate.griddata(pos, color, np.array([data]))[0] # TODO: is griddata faster?
# interp = scipy.interpolate.griddata(pos, color, data)
if np.isscalar(data):
interp = np.empty((color.shape[1],), dtype=color.dtype)
else: else:
interp = scipy.interpolate.griddata(pos, color, data)
if mode == self.QCOLOR:
if not isinstance(data, np.ndarray): if not isinstance(data, np.ndarray):
data = np.array(data)
interp = np.empty(data.shape + (color.shape[1],), dtype=color.dtype)
for i in range(color.shape[1]):
interp[...,i] = np.interp(data, pos, color[:,i])
# Convert to QColor if requested
if mode == self.QCOLOR:
if np.isscalar(data):
return QtGui.QColor(*interp) return QtGui.QColor(*interp)
else: else:
return [QtGui.QColor(*x) for x in interp] return [QtGui.QColor(*x) for x in interp]