So the error is coming from inside yt. Somehow yt is creating an array with shape (128) and trying to fill it with values from an array with shape (128, 128), causing numpy to complain. Unfortunately I'm still not sure what the underlying issue is just from looking at your code and the traceback. It's possible it's a yt bug, it's also possible that it's an issue in your notebook.

Is there any chance you can make a script I can run that triggers the issue? That will make it much easier to understand what's going wrong. You could also just share your full notebook.

If you can, please make use of a dataset from yt-project.org/data in your script. If that's not possible, you can also upload a dataset to the yt curldrop using the "yt upload" command line tool:

$ yt upload /path/to/dataset.tar.gz

and then include the link to the dataset that yt upload will print out once it's finished uploading the data.

-Nathan

On Fri, Nov 3, 2017 at 5:15 PM, ｔyuta <y0u1t1a5.t@gmail.com> wrote:
Dear Nathan,

Sorry for the incompleteness.
This is the error message from jupyter notebook:

ValueErrorTraceback (most recent call last)
<ipython-input-63-383c90a16917> in <module>()
     11                             fields=["cell_mass"],
     12                             weight_field=None,
---> 13                             extrema=dict(density=(1e-30, 1e-20), temperature=(1e1, 1e8))
     14                            )
     15 

/home/ytarumi/.local/yt/yt/data_objects/profiles.pyc in create_profile(data_source, bin_fields, fields, n_bins, extrema, logs, units, weight_field, accumulation, fractional, deposition)
   1093     setattr(obj, "fractional", fractional)
   1094     if fields is not None:
-> 1095         obj.add_fields([field for field in fields])
   1096     for field in fields:
   1097         if fractional:

/home/ytarumi/.local/yt/yt/data_objects/profiles.pyc in add_fields(self, fields)
    125         citer = self.data_source.chunks([], "io")
    126         for chunk in parallel_objects(citer):
--> 127             self._bin_chunk(chunk, fields, temp_storage)
    128         self._finalize_storage(fields, temp_storage)
    129 

/home/ytarumi/.local/yt/yt/data_objects/profiles.pyc in _bin_chunk(self, chunk, fields, storage)
    565 
    566     def _bin_chunk(self, chunk, fields, storage):
--> 567         rv = self._get_data(chunk, fields)
    568         if rv is None: return
    569         fdata, wdata, (bf_x, bf_y) = rv

/home/ytarumi/.local/yt/yt/data_objects/profiles.pyc in _get_data(self, chunk, fields)
    253         for i, field in enumerate(fields):
    254             units = chunk.ds.field_info[field].output_units
--> 255             arr[:,i] = chunk[field][filter].in_units(units)
    256         if self.weight_field is not None:
    257             units = chunk.ds.field_info[self.weight_field].output_units

ValueError: could not broadcast input array from shape (128,128) into shape (128)

2017-11-03 17:08 GMT-04:00 Nathan Goldbaum <nathan12343@gmail.com>:
Can you share the full traceback along with the error message you're seeing? You can use gist.github.com to avoid cluttering your e-mail.

On Fri, Nov 3, 2017 at 3:54 PM, ｔyuta <y0u1t1a5.t@gmail.com> wrote:
Dear yt-users,

Hi, I want to ask you about phase plot. Some days ago, I asked how to sum up different datasets to make one profile plot, and it worked fine. This time, I tried to do the same thing in phase plot, but it did not work fine. Could you help me find out what the problem is?

(inside for loop):
     profile_medium = yt.create_profile(
             data_source=medium_region,
             bin_fields=["density", "temperature"],
             fields=["cell_mass"],
             n_bins=[128, 128],
             units=dict(),
             logs=dict(),
             weight_field=None,
             extrema=dict(density=(1e-30, 1e-20), temperature=(1e1, 1e8))
          )
     plot_med = yt.ProfilePlot.from_profiles(profile_medium)
     profile_med = plot_med.profiles[0]
     profiles_sum_med = profiles_sum_med + profile_med["cell_mass"]
    

my_data_med = {"density": profile_med.x,   
           "temperature": profile_med.y, 
              "cell_mass": profiles_sum_med}
fake_ds_med = {"current_time": yt.YTQuantity(10, "Myr")} 
yt.save_as_dataset(fake_ds_med, "phaseplots_med_all.h5", my_data_med)

ds = yt.load("phaseplots_med_all.h5")
ad = ds.data

profile = yt.create_profile(ad,
                            ["density", "temperature"],
                            n_bins=[128, 128],
                            fields=["cell_mass"], 
                            weight_field=None, 
                            extrema=dict(density=(1e-30, 1e-20), temperature=(1e1, 1e8))
                           )

and I got this error:

could not broadcast input array from shape (128,128) into shape (128)

Sincerely,
Y.T.

2017-10-26 16:15 GMT-04:00 ｔyuta <y0u1t1a5.t@gmail.com>:
Hi Suoqing Ji,

Thanks! I'll try that.

2017-10-26 15:59 GMT-04:00 Suoqing Ji <suoqing@physics.ucsb.edu>:
Hi t yuta,

What you can do is to get the data as numpy array directly from the profiles you’ve generated, and sum them up by yourself. You can follow the last example at: http://yt-project.org/docs/dev/visualizing/plots.html#d-profile-plots

For each dataset, you can have one profile:
profile = plot.profiles[0]

Then you can sum up profile[‘cell_mass'] over different datasets, and plot it against profile.x

Best wishes,
—
Suoqing Ji
Ph.D Candidate
Department of Physics
University of California, Santa Barbara

On Oct 26, 2017, 12:51 PM -0700, ｔyuta <y0u1t1a5.t@gmail.com>, wrote:
Dear yt-users,

Hi, I want to ask you about profile plot. I'm analyzing Enzo data, and I'm trying to plot metallicity-cellmass of different 12 datasets into one curve. I can plot 12 curves on one image, but that's not what I want. Does anyone know some good way, or links to documentation?
I've attached the 12-curve plot. I want to sum up all the curves to get one curve.

Thanks,
Y.T.埋め込み画像 2
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