Hi Daniel,

Not sure if this will help, but I have run into some problems with velocity (due to negative values), so I always make sure to put these two lines at the top of my code (because I am too lazy to check if either/both work):

logs = {('gas','velocity_z'):False}
ds.field_info['gas','velocity_z'].take_log = False


Dr. Stephanie Tonnesen
Associate Research Scientist
CCA, Flatiron Institute
New York, NY


On Fri, Apr 24, 2020 at 10:13 AM Daniel DeFelippis <dad2183@columbia.edu> wrote:

I'm trying to create a projection plot of velocity (e.g. velocity_x) for a halo from IllustrisTNG ('cutout_478037.hdf5' below). I'm using the demeshened version of yt (yt-4.0). When I try to do this it fails with the following error message. This only seems to occur when I try to make a projection of a quantity with positive and negative values. If I instead use 'density' or 'temperature' for example, it works fine. Any suggestions?

Thank you,

ds = yt.load('cutout_478037.hdf5')

TypeError                                 Traceback (most recent call last)
~/anaconda3/lib/python3.6/site-packages/numpy/core/function_base.py in linspace(start, stop, num, endpoint, retstep, dtype, axis)
    116     try:
--> 117         num = operator.index(num)
    118     except TypeError:

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
<ipython-input-21-7770240b54f8> in <module>
      1 ds = yt.load('cutout_478037.hdf5')
----> 2 yt.ProjectionPlot(ds,'x',('gas','velocity_x'),width=(400,'kpc'))
      3 #slc.save('testplot.pdf')
      4 #slc.set_zlim(('gas','radial_velocity'),-200,200)
      5 #slc.annotate_title(title)

~/yt/yt/visualization/plot_window.py in __init__(self, ds, axis, fields, center, width, axes_unit, weight_field, max_level, origin, right_handed, fontsize, field_parameters, data_source, method, proj_style, window_size, buff_size, aspect)
   1609         PWViewerMPL.__init__(self, proj, bounds, fields=fields, origin=origin,
   1610                              right_handed=right_handed, fontsize=fontsize, window_size=window_size,
-> 1611                              aspect=aspect, buff_size=buff_size)
   1612         if axes_unit is None:
   1613             axes_unit = get_axes_unit(width, ds)

~/yt/yt/visualization/plot_window.py in __init__(self, *args, **kwargs)
    780             self._plot_type = kwargs.pop("plot_type")
    781         self._splat_color = kwargs.pop("splat_color", None)
--> 782         PlotWindow.__init__(self, *args, **kwargs)
    784     def _setup_origin(self):

~/yt/yt/visualization/plot_window.py in __init__(self, data_source, bounds, buff_size, antialias, periodic, origin, oblique, right_handed, window_size, fields, fontsize, aspect, setup)
    215                 self._field_transform[field] = linear_transform
    216         self.setup_callbacks()
--> 217         self._setup_plots()
    219     def __iter__(self):

~/yt/yt/visualization/plot_window.py in _setup_plots(self)
   1066                     else: # symlog_transform
   1067                         flinthresh = 10**np.floor( np.log10( self.plots[f].cb.norm.linthresh ) )
-> 1068                         mticks = self.plots[f].image.norm( get_symlog_minorticks(flinthresh, vmin, vmax) )
   1069                     self.plots[f].cax.yaxis.set_ticks(mticks, minor=True)
   1070             else:

~/yt/yt/visualization/plot_container.py in get_symlog_minorticks(linthresh, vmin, vmax)
    129         return np.hstack((-get_log_minorticks(linthresh,-vmin)[::-1], 0) )
    130     else:
--> 131         return np.hstack((-get_log_minorticks(linthresh,-vmin)[::-1], 0,
    132                           get_log_minorticks(linthresh, vmax)))

~/yt/yt/visualization/plot_container.py in get_log_minorticks(vmin, vmax)
    105             expA += 1
    106         else:
--> 107             lmticks = np.hstack( (lmticks, np.linspace(cofA, cofB, cofB-cofA+1)*10**expA) )
    108             expA += 1
    109     return np.array(lmticks)

<__array_function__ internals> in linspace(*args, **kwargs)

~/anaconda3/lib/python3.6/site-packages/numpy/core/function_base.py in linspace(start, stop, num, endpoint, retstep, dtype, axis)
    119         raise TypeError(
    120             "object of type {} cannot be safely interpreted as an integer."
--> 121                 .format(type(num)))
    123     if num < 0:

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
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