Dear Nathan:
Here is tracebin of the error in streamline plotting. Thanks in advance
yt : [WARNING ] 2018-02-03 14:39:03,549 Switching to symlog colorbar
scaling unless linear scaling is specified later
/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/colors.py:1114:
RuntimeWarning: invalid value encountered in greater
masked = np.abs(a) > self.linthresh
/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/colors.py:1126:
RuntimeWarning: invalid value encountered in greater
masked = np.abs(a) > (self.linthresh * self._linscale_adj)
/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/yt/units/yt_array.py:985:
RuntimeWarning: invalid value encountered in divide
np.divide(self, oth, out=self)
Traceback (most recent call last):
File "yt_frb_offaxes.py", line 61, in <module>
plt.streamplot(X,Y,U,V,norm='True')
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/pyplot.py",
line 3542, in streamplot
data=data)
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/__init__.py",
line 1717, in inner
return func(ax, *args, **kwargs)
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/axes/_axes.py",
line 4624, in streamplot
integration_direction=integration_direction)
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/streamplot.py",
line 83, in streamplot
grid = Grid(x, y)
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/streamplot.py",
line 315, in __init__
if not np.allclose(x_row, x):
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/numpy/core/numeric.py",
line 2459, in allclose
res = all(isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan))
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/numpy/core/numeric.py",
line 2541, in isclose
return within_tol(x, y, atol, rtol)
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/numpy/core/numeric.py",
line 2524, in within_tol
result = less_equal(abs(x-y), atol + rtol * abs(y))
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/yt/units/yt_array.py",
line 912, in __radd__
lo = sanitize_units_add(self, left_object, "addition")
File
"/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/yt/units/yt_array.py",
line 163, in sanitize_units_add
raise YTUnitOperationError(op_string, inp.units, dimensionless)
yt.utilities.exceptions.YTUnitOperationError: The addition operator for
YTArrays with units (km) and (1) is not well defined.
On Tue, Jan 30, 2018 at 10:57 AM,
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Today's Topics:
1. Re: Derivatives on a 2D Dataset (Nathan Goldbaum) 2. Re: Error in streamline plotting (Nathan Goldbaum) 3. Re: Projection Plot Image Array (Julia Rakas)
----------------------------------------------------------------------
Date: Tue, 30 Jan 2018 10:45:49 -0600 From: Nathan Goldbaum
Subject: [yt-users] Re: Derivatives on a 2D Dataset To: Discussion of the yt analysis package Message-ID: Content-Type: multipart/alternative; boundary="089e082216e08e25a60564011961" --089e082216e08e25a60564011961 Content-Type: text/plain; charset="UTF-8"
I'm not sure exactly what's causing the error you're running into - it would help to see more frames of the stack trace. If I had to guess it's coming from somewhere in your grad function but the stack trace would let you know for sure.
You also might be interested in yt's built-in support for adding gradient fields:
http://yt-project.org/docs/dev/reference/api/yt.data_ objects.static_output.html#yt.data_objects.static_output. Dataset.add_gradient_fields http://yt-project.org/docs/dev/analyzing/fields.html#gradient-fields http://yt-project.org/docs/dev/cookbook/calculating_ information.html#cookbook-complicated-derived-fields
Hope that helps,
Nathan
On Tue, Jan 30, 2018 at 10:03 AM,
wrote: Good morning YT-users,
I'm trying to take derivatives on a 2d dataset, below is what I do and the error I get: # - - - - - - A SIMPLE TEST TO TRY GETTING A 2D DERIVATIVE - - - - - - - - - - ... ds_list = [yt.load('%s/DD%04d/data%04d'%(base_directory,n1,n1)) for n1 in frame_list] ds = ds_list[0] g = ds.index.grids[0] ds.periodicity = (True, True, True) ad = ds.all_data()
# this is to access the grad operator and the added derived field which are found further below: map(xyz_derived_fields, ds_list)
# the following line breaks down print(ad['deriv_vx'])
# - - - - - - - - - - - - ANOTHER .PY FILE - - - - - - - - - - ... def grad(data,fieldname,direction): iM2 = slice(None,-2) iP2 = slice(2,None) all = slice(1,-1) all_all=[all]*3
dxi=1./(2*data.dds)
out = np.zeros_like(data[fieldname])
Right = [all]*3 Left = [all]*3 print(data.shape) if data.shape[2] == 1: all_all[2]=slice(None) Right[2]=slice(None) Left[2]=slice(None)
Right[direction] = iP2 Left[direction] = iM2
out[all_all] = (data[fieldname][Right] - data[fieldname][Left]) * dxi[direction] return out
def xyz_derived_fields(target): def deriv_vx(field,data): return grad(data,'velocity_x',0) MyValidators = [yt.ValidateSpatial(1,['velocity_x', 'velocity_y','velocity_z'])] target.add_field('deriv_vx', function=deriv_vx, units='cm/s', validators=MyValidators)
# this is the error: - - - - - - - - - - - /home/luzlourdes/yt-conda/lib/python2.7/site-packages/yt/ units/yt_array.py:1161: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 2; dimension is 4 but corresponding boolean dimension is 1 ret = super(YTArray, self).__getitem__(item) [ 0. 0. 0. ..., 0. 0. 0.] cm/s
# - - - - - - - - - - - - - - - - - - - - - May I use your knowledge and help on knowing what is happening and/or how we could go about solving this? Please let me know if I could provide you with anything further.
Thank you,
Luz Jimenez Vela Graduate Student at FSU _______________________________________________ yt-users mailing list -- yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org
--089e082216e08e25a60564011961 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
<div><div><div>I'm not sure exactly what's causing= the error you're running into - it would help to see more frames of th= e stack trace. If I had to guess it's coming from somewhere in your gra= d function but the stack trace would let you know for sure.<br><br></div>Yo= u also might be interested in yt's built-in support for adding gradient= fields:<br><br>http://yt-project.org/ docs/dev/reference/api/yt.= data_objects.static_output.html#yt.data_objects.static_ output.Dataset.add_g= radient_fields">http://yt-project.org/docs/dev/ reference/api/yt.data_object= s.static_output.html#yt.data_objects.static_output.Dataset. add_gradient_fie= lds</a><br>http://yt-project.org/docs/dev/analyzing/fields. html#= gradient-fields">http://yt-project.org/docs/dev/ analyzing/fields.html#gradi= ent-fields</a><br>http://yt-project.org/ docs/dev/cookbook/calcul= ating_information.html#cookbook-complicated-derived-fields"> http://yt-proje= ct.org/docs/dev/cookbook/calculating_information.html# cookbook-complicated-= derived-fields</a><br><br></div>Hope that helps,<br><br></div>Nathan<br><br>On Tue, Jan 30= , 2018 at 10:03 AM, <llj16b@my.fsu.edu</a>></span> wrote:<br>Good morning YT-users,<br> <br> I'm trying to take derivatives on a 2d dataset, below is what I do and = the error I get:<br> # - - - - - -=C2=A0 A SIMPLE TEST TO TRY GETTING A 2D DERIVATIVE - - - - - = - - - - -<br> ...<br> ds_list =3D [yt.load('%s/DD%04d/data%04d'%<wbr>(base_directory, n1,n= 1)) for n1 in frame_list]<br> ds =3D ds_list[0]<br> g =3D ds.index.grids[0]<br> ds.periodicity =3D (True, True, True)<br> ad =3D ds.all_data()<br> <br> # this is to access the grad operator and the added derived field which are= found further below:<br> map(xyz_derived_fields, ds_list)<br> <br> # the following line breaks down<br> print(ad['deriv_vx'])<br> <br> # - - - - - - - - - - - - ANOTHER .PY FILE - - - - - - - - - -<br> ...<br> def grad(data,fieldname,direction)<wbr>:<br> =C2=A0 =C2=A0 iM2 =3D slice(None,-2)<br> =C2=A0 =C2=A0 iP2 =3D slice(2,None)<br> =C2=A0 =C2=A0 all =3D slice(1,-1)<br> =C2=A0 =C2=A0 all_all=3D[all]*3<br> <br> =C2=A0 =C2=A0 dxi=3D1./(2*data.dds)<br> <br> =C2=A0 =C2=A0 out =3D np.zeros_like(data[fieldname])<br> <br> =C2=A0 =C2=A0 Right =3D [all]*3<br> =C2=A0 =C2=A0 Left =3D [all]*3<br> =C2=A0 =C2=A0 print(data.shape)<br> =C2=A0 =C2=A0 if data.shape[2] =3D=3D 1:<br> =C2=A0 =C2=A0 =C2=A0 =C2=A0 all_all[2]=3Dslice(None)<br> =C2=A0 =C2=A0 =C2=A0 =C2=A0 Right[2]=3Dslice(None)<br> =C2=A0 =C2=A0 =C2=A0 =C2=A0 Left[2]=3Dslice(None)<br> <br> =C2=A0 =C2=A0 Right[direction] =3D iP2<br> =C2=A0 =C2=A0 Left[direction] =3D iM2<br> <br> =C2=A0 =C2=A0 out[all_all] =3D (data[fieldname][Right] - data[fieldname][Le= ft]) * dxi[direction]<br> =C2=A0 =C2=A0 return out<br> <br> def xyz_derived_fields(target):<br> =C2=A0 =C2=A0 def deriv_vx(field,data):<br> =C2=A0 =C2=A0 =C2=A0 =C2=A0 return grad(data,'velocity_x',0)<br> =C2=A0 =C2=A0 MyValidators =3D [yt.ValidateSpatial(1,['< wbr>velocity_x&= #39;, 'velocity_y','velocity_z'])]<br> =C2=A0 =C2=A0 target.add_field('deriv_vx', function=3Dderiv_vx, uni= ts=3D'cm/s', validators=3DMyValidators)<br> <br> # this is the error: - - - - - - - - - - -<br> /home/luzlourdes/yt-conda/lib/<wbr>python2.7/site-packages/ yt/<wbr>units/yt= _array.py:1161: VisibleDeprecationWarning: boolean index did not match inde= xed array along dimension 2; dimension is 4 but corresponding boolean dimen= sion is 1<br> =C2=A0 ret =3D super(YTArray, self).__getitem__(item)<br> [ 0.=C2=A0 0.=C2=A0 0. ...,=C2=A0 0.=C2=A0 0.=C2=A0 0.] cm/s<br> <br> # - - - - - - - - - - - - - - - - - - - - -<br> May I use your knowledge and help on knowing what is happening and/or how w= e could go about solving this?<br> Please let me know if I could provide you with anything further.<br> <br> Thank you,<br> <br> Luz Jimenez Vela<br> Graduate Student at FSU<br> ______________________________<wbr>_________________<br> yt-users mailing list -- yt-users@py= thon.org</a><br> To unsubscribe send an email to --f403045c2a140828d50564011fc5 Content-Type: text/plain; charset="UTF-8"
Can you pastebin the traceback you get along with the error message? The traceback will show you which line in your script is raising the error.
On Mon, Jan 29, 2018 at 5:17 PM, Sushilkumar
wrote: Dear yt:
I am getting the following error for the script (see below). Could you let me know what is causing it? Thank you in advance
Error: yt.utilities.exceptions.YTUnitOperationError: The addition operator for YTArrays with units (km) and (1) is not well defined.
Script: import yt import numpy as np import matplotlib.pylab as pl import matplotlib.pyplot as plt import matplotlib.colors as colors from matplotlib.colors import LogNorm
from yt.visualization.api import Streamlines from yt.units import km from mpl_toolkits.mplot3d import Axes3D
ms = 24000000 vector_max=ms-(ms/3) ms1=ms-vector_max dims = (200,200,200)
x = np.genfromtxt("/work/jbi157/MODEL7/UPDATE_B/yo_n_t0.mtx", skip_header=2,usecols=1, dtype="f8") x = x.reshape((8000000, 3), order="F")
field1 = x[:,2].reshape(dims, order="F") field2 = x[:,1].reshape(dims, order="F") field3 = x[:,0].reshape(dims, order="F")
data = dict(cutting_plane_velocity_x = field1, cutting_plane_velocity_y = field2, cutting_plane_velocity_z = field3)
bbox = np.array([[-100, 99], [-100, 99], [-100, 99]])
pf = yt.load_uniform_grid(data, dims, km, bbox=bbox, nprocs=1)
L = [0,1,0] # vector normal to cutting plane north_vector = [0,1,1]
slc = yt.OffAxisSlicePlot(pf, L, 'cutting_plane_velocity_x', center=[0,0,0], width=(180,'km'), north_vector=north_vector)
vel = slc._frb['cutting_plane_velocity_z'] U = slc._frb['cutting_plane_velocity_x'] V = slc._frb['cutting_plane_velocity_y']
extentx = [slc.xlim[i].in_units('km') for i in (0, 1)] extenty = [slc.ylim[i].in_units('km') for i in (0, 1)] extent = extentx + extenty
x = np.linspace(extentx[0], extentx[1], vel.shape[0]) y = np.linspace(extenty[1], extenty[0], vel.shape[1])
X, Y = np.meshgrid(x, y)
normalize = True if normalize is True: N = np.sqrt(U**2+V**2) U /= N V /= N
norm = colors.Normalize(vmin=vel.min(), vmax=vel.max()) factor = 1 #plt.quiver(X[::factor, ::factor], Y[::factor, ::factor], U[::factor, ::factor], V[::factor, ::factor])
plt.streamplot(X,Y,U,V,norm='True')
#plt.imshow(vel.d, extent=extent) plt.colorbar() plt.xlabel("x") plt.axis([-100, 99, -100, 99]) plt.savefig('L(1,0,0) N(0,1,1)') #slc.save()
--f403045c2a140828d50564011fc5 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 cutting= _plane_velocity_y =3D field2,<br>=C2=A0=C2=A0=C2=A0= C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0 cutting_plane_velocity_z =3D field3)<br><br>bbox = =3D np.array([[-100, 99], [-100, 99], [-100, 99]])<br><br>pf =3D yt.load_un= iform_grid(data, dims, km, bbox=3Dbbox, nprocs=3D1)<br><br>L =3D [0,1,0] # = vector normal to cutting plane<br>north_vector =3D [0,1,1]<br><br>slc =3D y= t.OffAxisSlicePlot(pf, L, 'cutting_plane_velocity_x',
<div>Can you pastebin the traceback you get along with the= error message? The traceback will show you which line in your script is ra= ising the error.<br></div><br>On Mon, Jan 29, 2018 at 5:17 PM, Sushilkumar <= ;sushil.sush= 19us@gmail.com</a>></span> wrote:<br><div><div>Dear yt:<br><br></div>I am getting the following err= or for the script (see below). Could you let me know what is causing=C2=A0 = it? Thank you in advance<br><br></div>Error:<br>yt.utilities.exceptions.< wb= r>YTUnitOperationError: The addition operator for YTArrays with units (km) = and (1) is not well defined.<br><div><br></div>Script:<br>import yt<br>impo= rt numpy as np<br>import matplotlib.pylab as pl<br>import matplotlib.pyplot= as plt<br>import matplotlib.colors as colors<br>from matplotlib.colors imp= ort LogNorm<br><br>from yt.visualization.api import Streamlines<br>from yt.= units import km<br>from mpl_toolkits.mplot3d import Axes3D<br><br><br>ms = =3D 24000000<br>vector_max=3Dms-(ms/3)<br>ms1=3Dms-vector_max<br>dims =3D (= 200,200,200)<br><br>x =3D np.genfromtxt("/work/ jbi157/<wbr>MODEL7/UPDA= TE_B/yo_n_t0.mtx",<wbr>skip_header=3D2,usecols=3D1, dtype=3D"f8&q= uot;)<br>x =3D x.reshape((8000000, 3), order=3D"F")<br><br> field1= =3D x[:,2].reshape(dims, order=3D"F")<br>field2 =3D x[:,1].resha= pe(dims, order=3D"F")<br>field3 =3D x[:,0].reshape(dims, order=3D= "F")<br><br>data =3D dict(cutting_plane_velocity_x =3D field1,
#plt.quiver(X[::factor, ::factor], Y[::factor, ::factor], U[::factor, ::fa= ctor], V[::factor, ::factor])<br><br>plt.streamplot(X,Y,U,V,norm=3D 39;
True')<br><br>#plt.imshow(vel.d, extent=3Dextent)<br>plt. colorbar()<b= r>plt.xlabel("x")<br>plt.axis([-100, 99, -100, 99])<br>plt.savefi= g('L(1,0,0) N(0,1,1)')<br>#slc.save()< br></div></blockquote></div><= /div></div>
--f403045c2a140828d50564011fc5--
------------------------------
Date: Tue, 30 Jan 2018 11:50:30 -0500 From: Julia Rakas
Subject: [yt-users] Re: Projection Plot Image Array To: Discussion of the yt analysis package Message-ID: Content-Type: multipart/alternative; boundary="Apple-Mail=_049CE903-17B0-49DF-AB92-DFA4CDCB8C85" --Apple-Mail=_049CE903-17B0-49DF-AB92-DFA4CDCB8C85 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=utf-8
Hello,
So I did as you suggested and cast my image array to a normal python = array, but for some reason when I try to do an imshow, it doesn=E2=80=99t = seem to recognize any of the values because I get this:
This is the frb that I made
Do you know why this might be?
Thanks, Julie
On Jan 21, 2018, at 12:04 PM, Nathan Goldbaum
mailto:nathan12343@gmail.com> wrote: =20 Your image contains the "density" field with a width of 10 in code = units along each axis. So each row corresponds to the density value = sampled over a 1x1 (in code units) region of your simulation, since you = specified that you wanted a 10x10 image. =20 You might find the OffAxisProjectionPlot object to be a bit nicer to = work with to make plots: =20 = http://yt-project.org/doc/visualizing/plots.html#off- axis-projection-plots= = <http://yt-project.org/doc/visualizing/plots.html#off- axis-projection-plot= s> = http://yt-project.org/doc/reference/api/yt.visualization.plot_window. =20 OffAxisProjectionPlot presents the same interface as ProjectionPlot = and will make a plot with axes and labels that should hopefully be = easier to understand than the raw image you are dealing with now. =20 =20 On Sun, Jan 21, 2018 at 10:42 AM, Julia Rakas
mailto:jrakas@umich.edu> wrote: Thank you! And I was wondering how exactly the output array = corresponds to the image?=20 =20 =20 =20 For example, in the above ImageArray, what do the rows/colums mean? =20 Thanks again, Julie =20 On Jan 21, 2018, at 8:45 AM, Nathan Goldbaum
mailto:nathan12343@gmail.com> wrote: =20 Hi Julia, =20 If I create a ProjectionPlot like so: =20 p =3D ProjectionPlot(ds, 'z', ('gas', 'density')) =20 Then I can access the image array you are looking for like this: =20 image =3D p.frb['gas', 'density'] =20 This is using the FixedResolutionBuffer object that is associated = with the ProjectionPlot. You also don't need to create a ProjectionPlot = to do this, you can instead manually create a FixedResolutionBuffer = object. See the following doc pages: =20 = http://yt-project.org/doc/visualizing/manual_plotting. = http://yt-project.org/doc/reference/api/yt.visualization.fixed_ resolution.=
=20 Hope that helps, =20 Nathan =20 On Sun, Jan 21, 2018 at 12:47 AM Julia Rakas
mailto:jrakas@umich.edu> wrote: Hello, =20 When I do yt.off_axis_projection(=E2=80=A6) I get an array as an = output. My question is how I can get an output array for regular = On Jan 22, 2018, at 11:49 AM, Nathan Goldbaum
= wrote: =20 =20 =20 On Mon, Jan 22, 2018 at 12:07 AM, Julia Rakas mailto:jrakas@umich.edu> wrote: Hi, =20 So I did what was suggested and made a fixed resolution buffer and got = this: =20 =20 =20 What do the dots mean? =20 That's how big arrays (bigger than can fit on your display) are = printed by NumPy. The default plot resolution is 800x800 so that's way = bigger than can fit on your screen. =20 And I guess the main thing is that I want to be able to modify the = array and be able to, for example, multiply the values by a conversion = factor, normalize some values if they are below a threshold etc using = matplotlib and I=E2=80=99m not quite sure how to interpret the results = in order to do so. Any help would be greatly appreciated. =20 The image array you get back acts just like a normal numpy array. You = can multiply by conversion factors and do boolean logic just like any = other array. I'd use matplotlib's imshow command to display the image. = One wrinkle though, matplotlib will raise errors when you pass a yt = ImageArray to the imshow command. This is fixed on some versions of = matplotlib, although I just tested the latest version and it seems to = have hapenned again. The fix is just to cast the ImageArray to a numpy = ndarray: =20 import numpy as np =20 p =3D ProjectionPlot(...) image =3D p.frb[field] =20 ndarray_image =3D np.array(image) =20 =20 Here's a worked example: =20 https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4 = https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4 =20 =20 Thanks so much! Julie =20 html#= yt.visualization.plot_window.OffAxisProjectionPlot = <http://yt-project.org/doc/reference/api/yt.visualization.plot_window. html= #yt.visualization.plot_window.OffAxisProjectionPlot> html#fixed-resolutio= n-buffers = <http://yt-project.org/doc/visualizing/manual_plotting. html#fixed-resoluti= on-buffers> processed_data.html?highlig= ht=3Dfixedresolutionbuffer#d-image-arrays = <http://yt-project.org/doc/analyzing/generating_ processed_data.html?highli= ght=3Dfixedresolutionbuffer#d-image-arrays> html#yt.visualization.fixed_resolution.FixedResolutionBuffer = <http://yt-project.org/doc/reference/api/yt.visualization.fixed_ resolution= .html#yt.visualization.fixed_resolution.FixedResolutionBuffer> projection plots? And does the output array correspond to the actual = image that it otherwise would have plotted? =20 Thanks, Julie _______________________________________________ yt-users mailing list -- yt-users@python.org = mailto:yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org = mailto:yt-users-leave@python.org _______________________________________________ yt-users mailing list -- yt-users@python.org = mailto:yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org = mailto:yt-users-leave@python.org =20 =20
yt-users mailing list -- yt-users@python.org = mailto:yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org = mailto:yt-users-leave@python.org =20 =20 _______________________________________________ yt-users mailing list -- yt-users@python.org = mailto:yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org = mailto:yt-users-leave@python.org =20 =20
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Hello,
</div>So = I did as you suggested and cast my image array to a normal python array, = but for some reason when I try to do an imshow, it doesn=E2=80=99t seem = to recognize any of the values because I get this:</div>
</div></div>
</div>This= is the frb that I made</div>
</div>
<div>
</div><div>Do you know why = this might be?</div><div>
</div><div>Thanks,</div><div>Julie</div><div>On Jan = 22, 2018, at 11:49 AM, Nathan Goldbaum <nathan12343@gmail.com</a>> wrote:</div>On Mon, Jan 22, 2018 at 12:07 AM, Julia Rakas </span><jrakas@umich.edu</a>></span> </span>wrote:Hi,
</div>So I did what was suggested and made a = fixed resolution buffer and got this:</div>
</div>
</div>What do the dots = mean?</div></div></div></blockquote>
</div>That's how big arrays (bigger than can = fit on your display) are printed by NumPy. The default plot resolution = is 800x800 so that's way bigger than can fit on your screen.
</div></div>And I guess the = main thing is that I want to be able to modify the array and be able to, = for example, multiply the values by a conversion factor, normalize some = values if they are below a threshold etc using matplotlib and I=E2=80=99m = not quite sure how to interpret the results in order to do so. Any help = would be greatly appreciated.</div></div></div></blockquote>
</div>The image array you get = back acts just like a normal numpy array. You can multiply by conversion = factors and do boolean logic just like any other array. I'd use = matplotlib's imshow command to display the image. One wrinkle though, = matplotlib will raise errors when you pass a yt ImageArray to the imshow = command. This is fixed on some versions of matplotlib, although I just = tested the latest version and it seems to have hapenned again. The fix = is just to cast the ImageArray to a numpy ndarray:
</div>import numpy as = np
</div></span>
</div>p =3D ProjectionPlot(...)
</div>image =3D = p.frb[field]
</div>ndarray_image =3D np.array(image)
</div>
</div>
</div>Here's a worked example:
https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4" = class=3D"">https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4 </a>
</div></div>
</div>Thanks so much!</div>Julie</div>On Jan = 21, 2018, at 12:04 PM, Nathan Goldbaum <nathan12343@gmail.com</a>> wrote:</div>
</span>< div= class=3D"">Your image contains the "density" field with = a width of 10 in code units along each axis. So each row corresponds to = the density value sampled over a 1x1 (in code units) region of your = simulation, since you specified that you wanted a 10x10 image.
</div>You might find the OffAxisProjectionPlot = object to be a bit nicer to work with to make plots:
http://yt-project.org/doc/visualizing/plots.html# off-axis-projecti= on-plots" target=3D"_blank" class=3D"">http://yt-project.org/doc/visualizing/plots.html#off- axis-projection-plots</a>
http://yt-project.org/doc/reference/api/yt. visualization.plot_wind= ow.html#yt.visualization.plot_window.OffAxisProjectionPlot" = target=3D"_blank" class=3D"">http://yt-project.org/doc/reference/api/yt. visualization.plot_ window. html#yt.visualization.plot_ window.OffAxisProjectionPlot</a>
</div>OffAxisProjectionPlot presents the same interface as = ProjectionPlot and will make a plot with axes and labels that should = hopefully be easier to understand than the raw image you are dealing = with now.
</div></div></span>On Sun, Jan = 21, 2018 at 10:42 AM, Julia Rakas </span><jrakas@umich.edu</a>></span> </span>wrote:
</span>Thank you! And I was wondering how exactly the output = array corresponds to the image?
</div></span><Screenshot 2018-01-12 = 19.38.46.png></span>
</div>For = example, in the above ImageArray, what do the rows/colums = mean?</div>
</div>Thanks = again,</div>Julie</div>On Jan = 21, 2018, at 8:45 AM, Nathan Goldbaum <nathan12343@gmail.com</a>> wrote:</div>Hi Julia,</div>
</div>If I create a = ProjectionPlot like so:</div>
</div></span>p =3D ProjectionPlot(ds, = 'z', ('gas', 'density'))</div>
</div>Then I can access the image array you = are looking for like this:</div>
</div></span>image =3D p.frb['gas', = 'density']</div>
</div>This = is using the FixedResolutionBuffer object that is associated with the = ProjectionPlot. You also don't need to create a ProjectionPlot to do = this, you can instead manually create a FixedResolutionBuffer object. = See the following doc pages:
</div>
</div>http://yt-project.org/doc/visualizing/manual_ plotting.html#fixed-r= esolution-buffers" target=3D"_blank" = class=3D"">http://yt-project.org/doc/visualizing/manual_plotting.html# fixed-resolution-buffers</a></div> http://yt-project.org/doc/analyzing/generating_ processed_data.html= ?highlight=3Dfixedresolutionbuffer#d-image-arrays" target=3D"_blank" = class=3D"">http://yt-project.org/doc/analyzing/generating_processed_ data.html?highlight=3Dfixedresol utionbuffer#d-image-arrays</a></div> http://yt-project.org/doc/reference/api/yt. visualization.fixed_res= olution.html#yt.visualization.fixed_resolution.FixedResolutionBuffer" = target=3D"_blank" class=3D"">http://yt-project.org/doc/reference/api/yt.visualization. fixed_resolution.html#yt.visua lization.fixed_resolution.Fixe dResolutionBuffer</a></div>
</div>Hope that helps,</div>
</div>Nathan
</div>On Sun, Jan 21, = 2018 at 12:47 AM Julia Rakas <jrakas@umich.edu</a>> wrote:
</div>Hello,
When I do yt.off_axis_projection(=E2=80=A6) I = get an array as an output. My question is how I can get an output array = for regular projection plots? And does the output array correspond to = the actual image that it otherwise would have plotted?
Thanks,
Julie
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Subject: Digest Footer
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End of yt-users Digest, Vol 119, Issue 43 *****************************************
-- *SK2* *"**Claiming that something can move faster than light is a good conversation-stopper in physics. People edge away from you in cocktail parties; friends never return phone calls. You just don’t mess with Albert Einstein.**"*
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