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ift
NIFTy
Commits
79a6fd2f
Commit
79a6fd2f
authored
Jul 13, 2018
by
Martin Reinecke
Browse files
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experiment
parent
de0a55da
Changes
3
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3 changed files
with
35 additions
and
19 deletions
+35
-19
demos/getting_started_1.py
demos/getting_started_1.py
+7
-7
nifty5/__init__.py
nifty5/__init__.py
+1
-1
nifty5/plotting/plot.py
nifty5/plotting/plot.py
+27
-11
No files found.
demos/getting_started_1.py
View file @
79a6fd2f
...
...
@@ -46,7 +46,7 @@ if __name__ == '__main__':
# FIXME description of the tutorial
# Choose problem geometry and masking
mode
=
0
mode
=
1
if
mode
==
0
:
# One dimensional regular grid
position_space
=
ift
.
RGSpace
([
1024
])
...
...
@@ -104,14 +104,14 @@ if __name__ == '__main__':
# PLOTTING
rg
=
isinstance
(
position_space
,
ift
.
RGSpace
)
if
rg
and
len
(
position_space
.
shape
)
==
1
:
ift
.
plot
([
HT
(
MOCK_SIGNAL
),
GR
.
adjoint
(
data
),
HT
(
m
)],
ift
.
add_
plot
([
HT
(
MOCK_SIGNAL
),
GR
.
adjoint
(
data
),
HT
(
m
)],
label
=
[
'Mock signal'
,
'Data'
,
'Reconstruction'
],
alpha
=
[
1
,
.
3
,
1
],
name
=
'getting_started_1.png'
)
else
:
ift
.
plot
(
HT
(
MOCK_SIGNAL
),
title
=
'Mock Signal'
,
name
=
'mock_signal.png'
)
ift
.
plot
(
mask_to_nan
(
mask
,
(
GR
*
Mask
).
adjoint
(
data
)),
ift
.
add_
plot
(
HT
(
MOCK_SIGNAL
),
title
=
'Mock Signal'
,
name
=
'mock_signal.png'
)
ift
.
add_
plot
(
mask_to_nan
(
mask
,
(
GR
*
Mask
).
adjoint
(
data
)),
title
=
'Data'
,
name
=
'data.png'
)
ift
.
plot
(
HT
(
m
),
title
=
'Reconstruction'
,
name
=
'reconstruction.png'
)
ift
.
plot
(
mask_to_nan
(
mask
,
HT
(
m
-
MOCK_SIGNAL
)),
name
=
'residuals.png'
)
ift
.
add_
plot
(
HT
(
m
),
title
=
'Reconstruction'
,
name
=
'reconstruction.png'
)
ift
.
add_
plot
(
mask_to_nan
(
mask
,
HT
(
m
-
MOCK_SIGNAL
)),
name
=
'residuals.png'
)
ift
.
plot
()
nifty5/__init__.py
View file @
79a6fd2f
...
...
@@ -73,7 +73,7 @@ from .minimization.line_energy import LineEnergy
from
.minimization.energy_sum
import
EnergySum
from
.sugar
import
*
from
.plotting.plot
import
plot
from
.plotting.plot
import
add_plot
,
plot
from
.library.amplitude_model
import
make_amplitude_model
from
.library.gaussian_energy
import
GaussianEnergy
...
...
nifty5/plotting/plot.py
View file @
79a6fd2f
...
...
@@ -169,7 +169,7 @@ def _register_cmaps():
plt
.
register_cmap
(
cmap
=
LinearSegmentedColormap
(
"Plus Minus"
,
pm_cmap
))
def
plot
(
f
,
**
kwargs
):
def
_plot
(
f
,
ax
,
**
kwargs
):
import
matplotlib.pyplot
as
plt
_register_cmaps
()
if
isinstance
(
f
,
Field
):
...
...
@@ -209,12 +209,12 @@ def plot(f, **kwargs):
alpha
=
[
alpha
]
dom
=
dom
[
0
]
fig
=
plt
.
figure
()
ax
=
fig
.
add_subplot
(
1
,
1
,
1
)
#
fig = plt.figure()
#
ax = fig.add_subplot(1, 1, 1)
xsize
=
kwargs
.
pop
(
"xsize"
,
6
)
ysize
=
kwargs
.
pop
(
"ysize"
,
6
)
fig
.
set_size_inches
(
xsize
,
ysize
)
#
xsize = kwargs.pop("xsize", 6)
#
ysize = kwargs.pop("ysize", 6)
#
fig.set_size_inches(xsize, ysize)
ax
.
set_title
(
kwargs
.
pop
(
"title"
,
""
))
ax
.
set_xlabel
(
kwargs
.
pop
(
"xlabel"
,
""
))
ax
.
set_ylabel
(
kwargs
.
pop
(
"ylabel"
,
""
))
...
...
@@ -231,7 +231,7 @@ def plot(f, **kwargs):
_limit_xy
(
**
kwargs
)
if
label
!=
([
None
]
*
len
(
f
)):
plt
.
legend
()
_makeplot
(
kwargs
.
get
(
"name"
))
#
_makeplot(kwargs.get("name"))
return
elif
len
(
dom
.
shape
)
==
2
:
f
=
f
[
0
]
...
...
@@ -251,7 +251,7 @@ def plot(f, **kwargs):
# plt.colorbar(im,cax=cax)
plt
.
colorbar
(
im
)
_limit_xy
(
**
kwargs
)
_makeplot
(
kwargs
.
get
(
"name"
))
#
_makeplot(kwargs.get("name"))
return
elif
isinstance
(
dom
,
PowerSpace
):
plt
.
xscale
(
'log'
)
...
...
@@ -265,7 +265,7 @@ def plot(f, **kwargs):
_limit_xy
(
**
kwargs
)
if
label
!=
([
None
]
*
len
(
f
)):
plt
.
legend
()
_makeplot
(
kwargs
.
get
(
"name"
))
#
_makeplot(kwargs.get("name"))
return
elif
isinstance
(
dom
,
HPSpace
):
f
=
f
[
0
]
...
...
@@ -282,7 +282,7 @@ def plot(f, **kwargs):
plt
.
imshow
(
res
,
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
,
origin
=
"lower"
)
plt
.
colorbar
(
orientation
=
"horizontal"
)
_makeplot
(
kwargs
.
get
(
"name"
))
#
_makeplot(kwargs.get("name"))
return
elif
isinstance
(
dom
,
GLSpace
):
f
=
f
[
0
]
...
...
@@ -300,7 +300,23 @@ def plot(f, **kwargs):
plt
.
imshow
(
res
,
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
,
origin
=
"lower"
)
plt
.
colorbar
(
orientation
=
"horizontal"
)
_makeplot
(
kwargs
.
get
(
"name"
))
#
_makeplot(kwargs.get("name"))
return
raise
ValueError
(
"Field type not(yet) supported"
)
_plots
=
[]
_kwargs
=
[]
def
add_plot
(
f
,
**
kwargs
):
_plots
.
append
(
f
)
_kwargs
.
append
(
kwargs
)
def
plot
(
**
kwargs
):
import
matplotlib.pyplot
as
plt
nplot
=
len
(
_plots
)
fig
=
plt
.
figure
()
for
i
in
range
(
nplot
):
ax
=
fig
.
add_subplot
(
nplot
,
1
,
i
+
1
)
_plot
(
_plots
[
i
],
ax
,
**
_kwargs
[
i
])
_makeplot
(
None
)
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