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ift
NIFTy
Commits
aaaaa209
Commit
aaaaa209
authored
Sep 08, 2017
by
Martin Reinecke
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PEP8
parent
df6b5347
Pipeline
#17995
passed with stage
in 4 minutes and 54 seconds
Changes
1
Pipelines
1
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Showing
1 changed file
with
42 additions
and
33 deletions
+42
-33
nifty2go/plotting/plot.py
nifty2go/plotting/plot.py
+42
-33
No files found.
nifty2go/plotting/plot.py
View file @
aaaaa209
...
...
@@ -12,6 +12,7 @@ import os
# - title
# - axis labels
def
_mollweide_helper
(
xsize
):
xsize
=
int
(
xsize
)
ysize
=
xsize
//
2
...
...
@@ -31,6 +32,7 @@ def _mollweide_helper(xsize):
phi
=
np
.
where
(
phi
<
0
,
phi
+
2
*
np
.
pi
,
phi
)
return
res
,
mask
,
theta
,
phi
def
_find_closest
(
A
,
target
):
# A must be sorted
idx
=
A
.
searchsorted
(
target
)
...
...
@@ -40,34 +42,36 @@ def _find_closest(A, target):
idx
-=
target
-
left
<
right
-
target
return
idx
def
_makeplot
(
name
):
import
matplotlib.pyplot
as
plt
if
name
is
None
:
plt
.
show
()
return
extension
=
os
.
path
.
splitext
(
name
)[
1
]
if
extension
==
".pdf"
:
if
extension
==
".pdf"
:
plt
.
savefig
(
name
)
plt
.
close
()
elif
extension
==
".png"
:
elif
extension
==
".png"
:
plt
.
savefig
(
name
)
plt
.
close
()
#elif extension==".html":
#import mpld3
#mpld3.save_html(plt.gcf(),fileobj=name,no_extras=True)
#import plotly.offline as py
#import plotly.tools as tls
#plotly_fig = tls.mpl_to_plotly(plt.gcf())
#py.plot(plotly_fig,filename=name)
#py.plot_mpl(plt.gcf(),filename=name)
#import bokeh
#bokeh.mpl.to_bokeh(plt.gcf())
#
elif extension==".html":
#
import mpld3
#
mpld3.save_html(plt.gcf(),fileobj=name,no_extras=True)
#
import plotly.offline as py
#
import plotly.tools as tls
#
plotly_fig = tls.mpl_to_plotly(plt.gcf())
#
py.plot(plotly_fig,filename=name)
#
py.plot_mpl(plt.gcf(),filename=name)
#
import bokeh
#
bokeh.mpl.to_bokeh(plt.gcf())
else
:
raise
ValueError
(
"file format not understood"
)
def
_limit_xy
(
**
kwargs
):
import
matplotlib.pyplot
as
plt
x1
,
x2
,
y1
,
y2
=
plt
.
axis
()
x1
,
x2
,
y1
,
y2
=
plt
.
axis
()
if
(
kwargs
.
get
(
"xmin"
))
is
not
None
:
x1
=
kwargs
.
get
(
"xmin"
)
if
(
kwargs
.
get
(
"xmax"
))
is
not
None
:
...
...
@@ -76,25 +80,26 @@ def _limit_xy(**kwargs):
y1
=
kwargs
.
get
(
"ymin"
)
if
(
kwargs
.
get
(
"ymax"
))
is
not
None
:
y2
=
kwargs
.
get
(
"ymax"
)
plt
.
axis
((
x1
,
x2
,
y1
,
y2
))
plt
.
axis
((
x1
,
x2
,
y1
,
y2
))
def
plot
(
f
,
**
kwargs
):
def
plot
(
f
,
**
kwargs
):
import
matplotlib.pyplot
as
plt
if
not
isinstance
(
f
,
Field
):
if
not
isinstance
(
f
,
Field
):
raise
TypeError
(
"incorrect data type"
)
if
len
(
f
.
domain
)
!=
1
:
if
len
(
f
.
domain
)
!=
1
:
raise
ValueError
(
"input field must have exactly one domain"
)
dom
=
f
.
domain
[
0
]
fig
=
plt
.
figure
()
ax
=
fig
.
add_subplot
(
1
,
1
,
1
)
ax
=
fig
.
add_subplot
(
1
,
1
,
1
)
xsize
,
ysize
=
6
,
6
xsize
,
ysize
=
6
,
6
if
kwargs
.
get
(
"xsize"
)
is
not
None
:
xsize
=
kwargs
.
get
(
"xsize"
)
if
kwargs
.
get
(
"ysize"
)
is
not
None
:
ysize
=
kwargs
.
get
(
"ysize"
)
fig
.
set_size_inches
(
xsize
,
ysize
)
fig
.
set_size_inches
(
xsize
,
ysize
)
if
kwargs
.
get
(
"title"
)
is
not
None
:
ax
.
set_title
(
kwargs
.
get
(
"title"
))
...
...
@@ -102,31 +107,33 @@ def plot(f,**kwargs):
ax
.
set_xlabel
(
kwargs
.
get
(
"xlabel"
))
if
kwargs
.
get
(
"ylabel"
)
is
not
None
:
ax
.
set_ylabel
(
kwargs
.
get
(
"ylabel"
))
cmap
=
plt
.
rcParams
[
'image.cmap'
]
cmap
=
plt
.
rcParams
[
'image.cmap'
]
if
kwargs
.
get
(
"colormap"
)
is
not
None
:
cmap
=
kwargs
.
get
(
"colormap"
)
if
isinstance
(
dom
,
RGSpace
):
if
len
(
dom
.
shape
)
==
1
:
if
len
(
dom
.
shape
)
==
1
:
npoints
=
dom
.
shape
[
0
]
dist
=
dom
.
distances
[
0
]
xcoord
=
np
.
arange
(
npoints
,
dtype
=
np
.
float64
)
*
dist
xcoord
=
np
.
arange
(
npoints
,
dtype
=
np
.
float64
)
*
dist
ycoord
=
f
.
val
plt
.
plot
(
xcoord
,
ycoord
)
_limit_xy
(
**
kwargs
)
_makeplot
(
kwargs
.
get
(
"name"
))
return
elif
len
(
dom
.
shape
)
==
2
:
elif
len
(
dom
.
shape
)
==
2
:
nx
=
dom
.
shape
[
0
]
ny
=
dom
.
shape
[
1
]
dx
=
dom
.
distances
[
0
]
dy
=
dom
.
distances
[
1
]
xc
=
np
.
arange
(
nx
,
dtype
=
np
.
float64
)
*
dx
yc
=
np
.
arange
(
ny
,
dtype
=
np
.
float64
)
*
dy
im
=
ax
.
imshow
(
f
.
val
,
extent
=
[
xc
[
0
],
xc
[
-
1
],
yc
[
0
],
yc
[
-
1
]],
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
)
#from mpl_toolkits.axes_grid1 import make_axes_locatable
#divider = make_axes_locatable(ax)
#cax = divider.append_axes("right", size="5%", pad=0.05)
#plt.colorbar(im,cax=cax)
xc
=
np
.
arange
(
nx
,
dtype
=
np
.
float64
)
*
dx
yc
=
np
.
arange
(
ny
,
dtype
=
np
.
float64
)
*
dy
im
=
ax
.
imshow
(
f
.
val
,
extent
=
[
xc
[
0
],
xc
[
-
1
],
yc
[
0
],
yc
[
-
1
]],
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
)
# from mpl_toolkits.axes_grid1 import make_axes_locatable
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# plt.colorbar(im,cax=cax)
plt
.
colorbar
(
im
)
_limit_xy
(
**
kwargs
)
_makeplot
(
kwargs
.
get
(
"name"
))
...
...
@@ -152,7 +159,8 @@ def plot(f,**kwargs):
base
=
pyHealpix
.
Healpix_Base
(
int
(
np
.
sqrt
(
f
.
val
.
size
//
12
)),
"RING"
)
res
[
mask
]
=
f
.
val
[
base
.
ang2pix
(
ptg
)]
plt
.
axis
(
'off'
)
plt
.
imshow
(
res
,
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
)
plt
.
imshow
(
res
,
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
)
plt
.
colorbar
(
orientation
=
"horizontal"
)
_makeplot
(
kwargs
.
get
(
"name"
))
return
...
...
@@ -168,7 +176,8 @@ def plot(f,**kwargs):
res
[
mask
]
=
f
.
val
[
ilat
*
dom
.
nlon
+
ilon
]
plt
.
axis
(
'off'
)
plt
.
imshow
(
res
,
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
)
plt
.
imshow
(
res
,
vmin
=
kwargs
.
get
(
"zmin"
),
vmax
=
kwargs
.
get
(
"zmax"
),
cmap
=
cmap
)
plt
.
colorbar
(
orientation
=
"horizontal"
)
_makeplot
(
kwargs
.
get
(
"name"
))
return
...
...
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