Python numpy.ma.min() Examples
The following are 30
code examples of numpy.ma.min().
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and go to the original project or source file by following the links above each example.
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Example #1
| Source File: colors.py From neural-network-animation with MIT License | 6 votes |
|
def shade(self, data, cmap, norm=None):
"""
Take the input data array, convert to HSV values in the
given colormap, then adjust those color values
to give the impression of a shaded relief map with a
specified light source.
RGBA values are returned, which can then be used to
plot the shaded image with imshow.
"""
if norm is None:
norm = Normalize(vmin=data.min(), vmax=data.max())
rgb0 = cmap(norm(data))
rgb1 = self.shade_rgb(rgb0, elevation=data)
rgb0[:, :, 0:3] = rgb1
return rgb0
Example #2
| Source File: contour.py From coffeegrindsize with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
Nargs = len(args)
if Nargs <= 2:
z = ma.asarray(args[0], dtype=np.float64)
x, y = self._initialize_x_y(z)
args = args[1:]
elif Nargs <= 4:
x, y, z = self._check_xyz(args[:3], kwargs)
args = args[3:]
else:
raise TypeError("Too many arguments to %s; see help(%s)" %
(fn, fn))
z = ma.masked_invalid(z, copy=False)
self.zmax = float(z.max())
self.zmin = float(z.min())
if self.logscale and self.zmin <= 0:
z = ma.masked_where(z <= 0, z)
warnings.warn('Log scale: values of z <= 0 have been masked')
self.zmin = float(z.min())
self._contour_level_args(z, args)
return (x, y, z)
Example #3
| Source File: virtualOS.py From PCR-GLOBWB_model with GNU General Public License v3.0 | 6 votes |
|
def regridToCoarse(fine,fac,mode,missValue):
nr,nc = np.shape(fine)
coarse = np.zeros(nr/fac * nc / fac).reshape(nr/fac,nc/fac) + MV
nr,nc = np.shape(coarse)
for r in range(0,nr):
for c in range(0,nc):
ar = fine[r * fac : fac * (r+1),c * fac: fac * (c+1)]
m = np.ma.masked_values(ar,missValue)
if ma.count(m) == 0:
coarse[r,c] = MV
else:
if mode == 'average':
coarse [r,c] = ma.average(m)
elif mode == 'median':
coarse [r,c] = ma.median(m)
elif mode == 'sum':
coarse [r,c] = ma.sum(m)
elif mode =='min':
coarse [r,c] = ma.min(m)
elif mode == 'max':
coarse [r,c] = ma.max(m)
return coarse
Example #4
| Source File: virtualOS.py From PCR-GLOBWB_model with GNU General Public License v3.0 | 6 votes |
|
def regridToCoarse(fine,fac,mode,missValue):
nr,nc = np.shape(fine)
coarse = np.zeros(nr/fac * nc / fac).reshape(nr/fac,nc/fac) + MV
nr,nc = np.shape(coarse)
for r in range(0,nr):
for c in range(0,nc):
ar = fine[r * fac : fac * (r+1),c * fac: fac * (c+1)]
m = np.ma.masked_values(ar,missValue)
if ma.count(m) == 0:
coarse[r,c] = MV
else:
if mode == 'average':
coarse [r,c] = ma.average(m)
elif mode == 'median':
coarse [r,c] = ma.median(m)
elif mode == 'sum':
coarse [r,c] = ma.sum(m)
elif mode =='min':
coarse [r,c] = ma.min(m)
elif mode == 'max':
coarse [r,c] = ma.max(m)
return coarse
Example #5
| Source File: contour.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
Nargs = len(args)
if Nargs <= 2:
z = ma.asarray(args[0], dtype=np.float64)
x, y = self._initialize_x_y(z)
args = args[1:]
elif Nargs <= 4:
x, y, z = self._check_xyz(args[:3], kwargs)
args = args[3:]
else:
raise TypeError("Too many arguments to %s; see help(%s)" %
(fn, fn))
z = ma.masked_invalid(z, copy=False)
self.zmax = float(z.max())
self.zmin = float(z.min())
if self.logscale and self.zmin <= 0:
z = ma.masked_where(z <= 0, z)
warnings.warn('Log scale: values of z <= 0 have been masked')
self.zmin = float(z.min())
self._contour_level_args(z, args)
return (x, y, z)
Example #6
| Source File: contour.py From GraphicDesignPatternByPython with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
Nargs = len(args)
if Nargs <= 2:
z = ma.asarray(args[0], dtype=np.float64)
x, y = self._initialize_x_y(z)
args = args[1:]
elif Nargs <= 4:
x, y, z = self._check_xyz(args[:3], kwargs)
args = args[3:]
else:
raise TypeError("Too many arguments to %s; see help(%s)" %
(fn, fn))
z = ma.masked_invalid(z, copy=False)
self.zmax = float(z.max())
self.zmin = float(z.min())
if self.logscale and self.zmin <= 0:
z = ma.masked_where(z <= 0, z)
warnings.warn('Log scale: values of z <= 0 have been masked')
self.zmin = float(z.min())
self._contour_level_args(z, args)
return (x, y, z)
Example #7
| Source File: contour.py From CogAlg with MIT License | 5 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
Nargs = len(args)
if Nargs <= 2:
z = ma.asarray(args[0], dtype=np.float64)
x, y = self._initialize_x_y(z)
args = args[1:]
elif Nargs <= 4:
x, y, z = self._check_xyz(args[:3], kwargs)
args = args[3:]
else:
raise TypeError("Too many arguments to %s; see help(%s)" %
(fn, fn))
z = ma.masked_invalid(z, copy=False)
self.zmax = float(z.max())
self.zmin = float(z.min())
if self.logscale and self.zmin <= 0:
z = ma.masked_where(z <= 0, z)
cbook._warn_external('Log scale: values of z <= 0 have been '
'masked')
self.zmin = float(z.min())
self._contour_level_args(z, args)
return (x, y, z)
Example #8
| Source File: contour.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _process_args(self, *args, **kwargs):
"""
Process *args* and *kwargs*; override in derived classes.
Must set self.levels, self.zmin and self.zmax, and update axes
limits.
"""
self.levels = args[0]
self.allsegs = args[1]
self.allkinds = len(args) > 2 and args[2] or None
self.zmax = np.max(self.levels)
self.zmin = np.min(self.levels)
self._auto = False
# Check lengths of levels and allsegs.
if self.filled:
if len(self.allsegs) != len(self.levels) - 1:
raise ValueError('must be one less number of segments as '
'levels')
else:
if len(self.allsegs) != len(self.levels):
raise ValueError('must be same number of segments as levels')
# Check length of allkinds.
if (self.allkinds is not None and
len(self.allkinds) != len(self.allsegs)):
raise ValueError('allkinds has different length to allsegs')
# Determine x,y bounds and update axes data limits.
flatseglist = [s for seg in self.allsegs for s in seg]
points = np.concatenate(flatseglist, axis=0)
self._mins = points.min(axis=0)
self._maxs = points.max(axis=0)
return kwargs
Example #9
| Source File: contour.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def _contour_level_args(self, z, args):
"""
Determine the contour levels and store in self.levels.
"""
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
self._auto = False
if self.levels is None:
if len(args) == 0:
lev = self._autolev(7)
else:
level_arg = args[0]
try:
if type(level_arg) == int:
lev = self._autolev(level_arg)
else:
lev = np.asarray(level_arg).astype(np.float64)
except:
raise TypeError(
"Last {0} arg must give levels; see help({0})"
.format(fn))
self.levels = lev
else:
self.levels = np.asarray(self.levels).astype(np.float64)
if not self.filled:
inside = (self.levels > self.zmin) & (self.levels < self.zmax)
self.levels = self.levels[inside]
if len(self.levels) == 0:
self.levels = [self.zmin]
warnings.warn("No contour levels were found"
" within the data range.")
if self.filled and len(self.levels) < 2:
raise ValueError("Filled contours require at least 2 levels.")
if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
raise ValueError("Contour levels must be increasing")
Example #10
| Source File: contour.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _contour_level_args(self, z, args):
"""
Determine the contour levels and store in self.levels.
"""
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
self._auto = False
if self.levels is None:
if len(args) == 0:
levels_arg = 7 # Default, hard-wired.
else:
levels_arg = args[0]
else:
levels_arg = self.levels
if isinstance(levels_arg, Integral):
self.levels = self._autolev(levels_arg)
else:
self.levels = np.asarray(levels_arg).astype(np.float64)
if not self.filled:
inside = (self.levels > self.zmin) & (self.levels < self.zmax)
levels_in = self.levels[inside]
if len(levels_in) == 0:
self.levels = [self.zmin]
warnings.warn("No contour levels were found"
" within the data range.")
if self.filled and len(self.levels) < 2:
raise ValueError("Filled contours require at least 2 levels.")
if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
raise ValueError("Contour levels must be increasing")
Example #11
| Source File: contour.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _process_levels(self):
"""
Assign values to :attr:`layers` based on :attr:`levels`,
adding extended layers as needed if contours are filled.
For line contours, layers simply coincide with levels;
a line is a thin layer. No extended levels are needed
with line contours.
"""
# Make a private _levels to include extended regions; we
# want to leave the original levels attribute unchanged.
# (Colorbar needs this even for line contours.)
self._levels = list(self.levels)
if self.logscale:
lower, upper = 1e-250, 1e250
else:
lower, upper = -1e250, 1e250
if self.extend in ('both', 'min'):
self._levels.insert(0, lower)
if self.extend in ('both', 'max'):
self._levels.append(upper)
self._levels = np.asarray(self._levels)
if not self.filled:
self.layers = self.levels
return
# Layer values are mid-way between levels in screen space.
if self.logscale:
# Avoid overflow by taking sqrt before multiplying.
self.layers = (np.sqrt(self._levels[:-1])
* np.sqrt(self._levels[1:]))
else:
self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
Example #12
| Source File: contour.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def _process_args(self, *args, **kwargs):
"""
Process *args* and *kwargs*; override in derived classes.
Must set self.levels, self.zmin and self.zmax, and update axes
limits.
"""
self.levels = args[0]
self.allsegs = args[1]
self.allkinds = len(args) > 2 and args[2] or None
self.zmax = np.max(self.levels)
self.zmin = np.min(self.levels)
self._auto = False
# Check lengths of levels and allsegs.
if self.filled:
if len(self.allsegs) != len(self.levels) - 1:
raise ValueError('must be one less number of segments as '
'levels')
else:
if len(self.allsegs) != len(self.levels):
raise ValueError('must be same number of segments as levels')
# Check length of allkinds.
if (self.allkinds is not None and
len(self.allkinds) != len(self.allsegs)):
raise ValueError('allkinds has different length to allsegs')
# Determine x,y bounds and update axes data limits.
flatseglist = [s for seg in self.allsegs for s in seg]
points = np.concatenate(flatseglist, axis=0)
self._mins = points.min(axis=0)
self._maxs = points.max(axis=0)
return kwargs
Example #13
| Source File: contour.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def _process_args(self, *args, **kwargs):
"""
Process *args* and *kwargs*; override in derived classes.
Must set self.levels, self.zmin and self.zmax, and update axes
limits.
"""
self.levels = args[0]
self.allsegs = args[1]
self.allkinds = len(args) > 2 and args[2] or None
self.zmax = np.max(self.levels)
self.zmin = np.min(self.levels)
self._auto = False
# Check lengths of levels and allsegs.
if self.filled:
if len(self.allsegs) != len(self.levels) - 1:
raise ValueError('must be one less number of segments as '
'levels')
else:
if len(self.allsegs) != len(self.levels):
raise ValueError('must be same number of segments as levels')
# Check length of allkinds.
if (self.allkinds is not None and
len(self.allkinds) != len(self.allsegs)):
raise ValueError('allkinds has different length to allsegs')
# Determine x,y bounds and update axes data limits.
flatseglist = [s for seg in self.allsegs for s in seg]
points = np.concatenate(flatseglist, axis=0)
self._mins = points.min(axis=0)
self._maxs = points.max(axis=0)
return kwargs
Example #14
| Source File: contour.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def _contour_level_args(self, z, args):
"""
Determine the contour levels and store in self.levels.
"""
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
self._auto = False
if self.levels is None:
if len(args) == 0:
levels_arg = 7 # Default, hard-wired.
else:
levels_arg = args[0]
else:
levels_arg = self.levels
if isinstance(levels_arg, Integral):
self.levels = self._autolev(levels_arg)
else:
self.levels = np.asarray(levels_arg).astype(np.float64)
if not self.filled:
inside = (self.levels > self.zmin) & (self.levels < self.zmax)
levels_in = self.levels[inside]
if len(levels_in) == 0:
self.levels = [self.zmin]
warnings.warn("No contour levels were found"
" within the data range.")
if self.filled and len(self.levels) < 2:
raise ValueError("Filled contours require at least 2 levels.")
if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
raise ValueError("Contour levels must be increasing")
Example #15
| Source File: contour.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def _process_levels(self):
"""
Assign values to :attr:`layers` based on :attr:`levels`,
adding extended layers as needed if contours are filled.
For line contours, layers simply coincide with levels;
a line is a thin layer. No extended levels are needed
with line contours.
"""
# Make a private _levels to include extended regions; we
# want to leave the original levels attribute unchanged.
# (Colorbar needs this even for line contours.)
self._levels = list(self.levels)
if self.logscale:
lower, upper = 1e-250, 1e250
else:
lower, upper = -1e250, 1e250
if self.extend in ('both', 'min'):
self._levels.insert(0, lower)
if self.extend in ('both', 'max'):
self._levels.append(upper)
self._levels = np.asarray(self._levels)
if not self.filled:
self.layers = self.levels
return
# Layer values are mid-way between levels in screen space.
if self.logscale:
# Avoid overflow by taking sqrt before multiplying.
self.layers = (np.sqrt(self._levels[:-1])
* np.sqrt(self._levels[1:]))
else:
self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
Example #16
| Source File: contour.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def _process_levels(self):
"""
Assign values to :attr:`layers` based on :attr:`levels`,
adding extended layers as needed if contours are filled.
For line contours, layers simply coincide with levels;
a line is a thin layer. No extended levels are needed
with line contours.
"""
# Make a private _levels to include extended regions; we
# want to leave the original levels attribute unchanged.
# (Colorbar needs this even for line contours.)
self._levels = list(self.levels)
if self.extend in ('both', 'min'):
self._levels.insert(0, min(self.levels[0], self.zmin) - 1)
if self.extend in ('both', 'max'):
self._levels.append(max(self.levels[-1], self.zmax) + 1)
self._levels = np.asarray(self._levels)
if not self.filled:
self.layers = self.levels
return
# layer values are mid-way between levels
self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
# ...except that extended layers must be outside the
# normed range:
if self.extend in ('both', 'min'):
self.layers[0] = -1e150
if self.extend in ('both', 'max'):
self.layers[-1] = 1e150
Example #17
| Source File: contour.py From coffeegrindsize with MIT License | 5 votes |
|
def _process_args(self, *args, **kwargs):
"""
Process *args* and *kwargs*; override in derived classes.
Must set self.levels, self.zmin and self.zmax, and update axes
limits.
"""
self.levels = args[0]
self.allsegs = args[1]
self.allkinds = len(args) > 2 and args[2] or None
self.zmax = np.max(self.levels)
self.zmin = np.min(self.levels)
self._auto = False
# Check lengths of levels and allsegs.
if self.filled:
if len(self.allsegs) != len(self.levels) - 1:
raise ValueError('must be one less number of segments as '
'levels')
else:
if len(self.allsegs) != len(self.levels):
raise ValueError('must be same number of segments as levels')
# Check length of allkinds.
if (self.allkinds is not None and
len(self.allkinds) != len(self.allsegs)):
raise ValueError('allkinds has different length to allsegs')
# Determine x,y bounds and update axes data limits.
flatseglist = [s for seg in self.allsegs for s in seg]
points = np.concatenate(flatseglist, axis=0)
self._mins = points.min(axis=0)
self._maxs = points.max(axis=0)
return kwargs
Example #18
| Source File: contour.py From coffeegrindsize with MIT License | 5 votes |
|
def _contour_level_args(self, z, args):
"""
Determine the contour levels and store in self.levels.
"""
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
self._auto = False
if self.levels is None:
if len(args) == 0:
levels_arg = 7 # Default, hard-wired.
else:
levels_arg = args[0]
else:
levels_arg = self.levels
if isinstance(levels_arg, Integral):
self.levels = self._autolev(levels_arg)
else:
self.levels = np.asarray(levels_arg).astype(np.float64)
if not self.filled:
inside = (self.levels > self.zmin) & (self.levels < self.zmax)
levels_in = self.levels[inside]
if len(levels_in) == 0:
self.levels = [self.zmin]
warnings.warn("No contour levels were found"
" within the data range.")
if self.filled and len(self.levels) < 2:
raise ValueError("Filled contours require at least 2 levels.")
if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
raise ValueError("Contour levels must be increasing")
Example #19
| Source File: contour.py From coffeegrindsize with MIT License | 5 votes |
|
def _process_levels(self):
"""
Assign values to :attr:`layers` based on :attr:`levels`,
adding extended layers as needed if contours are filled.
For line contours, layers simply coincide with levels;
a line is a thin layer. No extended levels are needed
with line contours.
"""
# Make a private _levels to include extended regions; we
# want to leave the original levels attribute unchanged.
# (Colorbar needs this even for line contours.)
self._levels = list(self.levels)
if self.logscale:
lower, upper = 1e-250, 1e250
else:
lower, upper = -1e250, 1e250
if self.extend in ('both', 'min'):
self._levels.insert(0, lower)
if self.extend in ('both', 'max'):
self._levels.append(upper)
self._levels = np.asarray(self._levels)
if not self.filled:
self.layers = self.levels
return
# Layer values are mid-way between levels in screen space.
if self.logscale:
# Avoid overflow by taking sqrt before multiplying.
self.layers = (np.sqrt(self._levels[:-1])
* np.sqrt(self._levels[1:]))
else:
self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
Example #20
| Source File: contour.py From CogAlg with MIT License | 5 votes |
|
def _process_levels(self):
"""
Assign values to :attr:`layers` based on :attr:`levels`,
adding extended layers as needed if contours are filled.
For line contours, layers simply coincide with levels;
a line is a thin layer. No extended levels are needed
with line contours.
"""
# Make a private _levels to include extended regions; we
# want to leave the original levels attribute unchanged.
# (Colorbar needs this even for line contours.)
self._levels = list(self.levels)
if self.logscale:
lower, upper = 1e-250, 1e250
else:
lower, upper = -1e250, 1e250
if self.extend in ('both', 'min'):
self._levels.insert(0, lower)
if self.extend in ('both', 'max'):
self._levels.append(upper)
self._levels = np.asarray(self._levels)
if not self.filled:
self.layers = self.levels
return
# Layer values are mid-way between levels in screen space.
if self.logscale:
# Avoid overflow by taking sqrt before multiplying.
self.layers = (np.sqrt(self._levels[:-1])
* np.sqrt(self._levels[1:]))
else:
self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
Example #21
| Source File: contour.py From CogAlg with MIT License | 5 votes |
|
def _process_args(self, *args, **kwargs):
"""
Process *args* and *kwargs*; override in derived classes.
Must set self.levels, self.zmin and self.zmax, and update axes
limits.
"""
self.levels = args[0]
self.allsegs = args[1]
self.allkinds = len(args) > 2 and args[2] or None
self.zmax = np.max(self.levels)
self.zmin = np.min(self.levels)
# Check lengths of levels and allsegs.
if self.filled:
if len(self.allsegs) != len(self.levels) - 1:
raise ValueError('must be one less number of segments as '
'levels')
else:
if len(self.allsegs) != len(self.levels):
raise ValueError('must be same number of segments as levels')
# Check length of allkinds.
if (self.allkinds is not None and
len(self.allkinds) != len(self.allsegs)):
raise ValueError('allkinds has different length to allsegs')
# Determine x,y bounds and update axes data limits.
flatseglist = [s for seg in self.allsegs for s in seg]
points = np.concatenate(flatseglist, axis=0)
self._mins = points.min(axis=0)
self._maxs = points.max(axis=0)
return kwargs
Example #22
| Source File: contour.py From CogAlg with MIT License | 5 votes |
|
def _contour_level_args(self, z, args):
"""
Determine the contour levels and store in self.levels.
"""
if self.levels is None:
if len(args) == 0:
levels_arg = 7 # Default, hard-wired.
else:
levels_arg = args[0]
else:
levels_arg = self.levels
if isinstance(levels_arg, Integral):
self.levels = self._autolev(levels_arg)
else:
self.levels = np.asarray(levels_arg).astype(np.float64)
if not self.filled:
inside = (self.levels > self.zmin) & (self.levels < self.zmax)
levels_in = self.levels[inside]
if len(levels_in) == 0:
self.levels = [self.zmin]
cbook._warn_external(
"No contour levels were found within the data range.")
if self.filled and len(self.levels) < 2:
raise ValueError("Filled contours require at least 2 levels.")
if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
raise ValueError("Contour levels must be increasing")
Example #23
| Source File: colors.py From matplotlib-4-abaqus with MIT License | 5 votes |
|
def autoscale(self, A):
"""
Set *vmin*, *vmax* to min, max of *A*.
"""
self.vmin = ma.min(A)
self.vmax = ma.max(A)
self._transform_vmin_vmax()
Example #24
| Source File: colors.py From Computable with MIT License | 5 votes |
|
def autoscale_None(self, A):
' autoscale only None-valued vmin or vmax'
if self.vmin is None and np.size(A) > 0:
self.vmin = ma.min(A)
if self.vmax is None and np.size(A) > 0:
self.vmax = ma.max(A)
Example #25
| Source File: colors.py From Computable with MIT License | 5 votes |
|
def autoscale(self, A):
'''
Set *vmin*, *vmax* to min, max of *A*.
'''
A = ma.masked_less_equal(A, 0, copy=False)
self.vmin = ma.min(A)
self.vmax = ma.max(A)
Example #26
| Source File: colors.py From Computable with MIT License | 5 votes |
|
def autoscale_None(self, A):
' autoscale only None-valued vmin or vmax'
if self.vmin is not None and self.vmax is not None:
return
A = ma.masked_less_equal(A, 0, copy=False)
if self.vmin is None:
self.vmin = ma.min(A)
if self.vmax is None:
self.vmax = ma.max(A)
Example #27
| Source File: colors.py From Computable with MIT License | 5 votes |
|
def autoscale(self, A):
"""
Set *vmin*, *vmax* to min, max of *A*.
"""
self.vmin = ma.min(A)
self.vmax = ma.max(A)
self._transform_vmin_vmax()
Example #28
| Source File: colors.py From Computable with MIT License | 5 votes |
|
def shade(self, data, cmap):
"""
Take the input data array, convert to HSV values in the
given colormap, then adjust those color values
to given the impression of a shaded relief map with a
specified light source.
RGBA values are returned, which can then be used to
plot the shaded image with imshow.
"""
rgb0 = cmap((data - data.min()) / (data.max() - data.min()))
rgb1 = self.shade_rgb(rgb0, elevation=data)
rgb0[:, :, 0:3] = rgb1
return rgb0
Example #29
| Source File: colors.py From Computable with MIT License | 5 votes |
|
def autoscale(self, A):
'''
Set *vmin*, *vmax* to min, max of *A*.
'''
self.vmin = ma.min(A)
self.vmax = ma.max(A)
Example #30
| Source File: colors.py From matplotlib-4-abaqus with MIT License | 5 votes |
|
def autoscale(self, A):
'''
Set *vmin*, *vmax* to min, max of *A*.
'''
self.vmin = ma.min(A)
self.vmax = ma.max(A)
