Plotting example from RasterSequence documentation fails #240
Description
Describe the bug
I was working through the documentation trying the examples. When I ran this one, from here
my_rasters.plot_as_sns() I got back
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[22], line 1
----> 1 my_rasters.plot_as_sns()
File ~/mambaforge/envs/sunraster-dev/lib/python3.11/site-packages/ndcube/ndcube_sequence.py:441, in NDCubeSequence.plot_as_cube(self, *args, **kwargs)
440 def plot_as_cube(self, *args, **kwargs):
--> 441 raise NotImplementedError(
442 "NDCubeSequence plot_as_cube is no longer supported.\n"
443 "To learn why or to tell us why it should be re-instated, "
444 "read and comment on issue #315:\n\nhttps://github.com/sunpy/ndcube/issues/315\n\n"
445 "To see a introductory guide on how to make your own NDCubeSequence plots, "
446 "see the docs:\n\n"
447 "https://docs.sunpy.org/projects/ndcube/en/stable/ndcubesequence.html#plotting")
NotImplementedError: NDCubeSequence plot_as_cube is no longer supported.
To learn why or to tell us why it should be re-instated, read and comment on issue #315:
https://github.com/sunpy/ndcube/issues/315
To see a introductory guide on how to make your own NDCubeSequence plots, see the docs:
https://docs.sunpy.org/projects/ndcube/en/stable/ndcubesequence.html#plottingTo Reproduce
- Create a dev install following the instructions at https://docs.sunpy.org/projects/sunraster/en/latest/installation.html#installing-the-development-version
- Run the code in the documentation for
RasterSequence: https://docs.sunpy.org/projects/sunraster/en/latest/data_types/raster.html
Just for completeness, here is what I copied/pasted to produce the error, running in Jupyter Lab:
import numpy as np
import astropy.wcs
import astropy.units as u
from astropy.nddata import StdDevUncertainty
from datetime import datetime, timedelta
from astropy.time import Time
from sunraster import SpectrogramCube
from sunraster.meta import Meta
# Define primary data array and WCS object.
data = np.ones((3, 4, 5))
wcs_input_dict = {
'CTYPE1': 'WAVE ', 'CUNIT1': 'Angstrom', 'CDELT1': 0.2, 'CRPIX1': 0, 'CRVAL1': 10, 'NAXIS1': 5,
'CTYPE2': 'HPLT-TAN', 'CUNIT2': 'deg', 'CDELT2': 0.5, 'CRPIX2': 2, 'CRVAL2': 0.5, 'NAXIS2': 4,
'CTYPE3': 'HPLN-TAN', 'CUNIT3': 'deg', 'CDELT3': 0.4, 'CRPIX3': 2, 'CRVAL3': 1, 'NAXIS3': 3}
input_wcs = astropy.wcs.WCS(wcs_input_dict)
# Define a mask with all pixel unmasked, i.e. mask values = False
mask = np.zeros(data.shape, dtype=bool)
# Define some RasterSequence metadata.
exposure_times = np.ones(data.shape[0])/2 * u.s
scan_meta = Meta({"exposure time": exposure_times}, axes={"exposure time": 0},
data_shape=data.shape)
seq_meta = {"description": "This is a RasterSequence.", "exposure time" : exposure_times}
# Define uncertainties for data, 2*data and data/2.
uncertainties = StdDevUncertainty(np.sqrt(data))
uncertainties2 = StdDevUncertainty(np.sqrt(data * 2))
uncertainties05 = StdDevUncertainty(np.sqrt(data * 0.5))
# Create 1st raster
axis_length = int(data.shape[0])
timestamps0 = Time([datetime(2000, 1, 1) + timedelta(minutes=i)
for i in range(axis_length)], format='datetime', scale='utc')
extra_coords_input0 = [("time", 0, timestamps0)]
raster0 = SpectrogramCube(data, input_wcs, uncertainty=uncertainties, mask=mask,
meta=scan_meta, unit=u.ct)
for extra in extra_coords_input0:
raster0.extra_coords.add(*extra)
# Create 2nd raster
timestamps1 = Time([timestamps0[-1].to_datetime() + timedelta(minutes=i)
for i in range(1, axis_length+1)], format='datetime', scale='utc')
extra_coords_input1 = [("time", 0, timestamps1)]
raster1 = SpectrogramCube(data*2, input_wcs, uncertainty=uncertainties, mask=mask,
meta=scan_meta, unit=u.ct)
for extra in extra_coords_input1:
raster1.extra_coords.add(*extra)
# Create 3rd raster
timestamps2 = Time([timestamps1[-1].to_datetime() + timedelta(minutes=i)
for i in range(1, axis_length+1)], format='datetime', scale='utc')
extra_coords_input2 = [("time", 0, timestamps2)]
raster2 = SpectrogramCube(data*0.5, input_wcs, uncertainty=uncertainties, mask=mask,
meta=scan_meta, unit=u.ct)
for extra in extra_coords_input2:
raster2.extra_coords.add(*extra)
from sunraster import RasterSequence
my_rasters = RasterSequence([raster0, raster1, raster2], common_axis=0, meta=seq_meta)
my_rasters.plot_as_sns() Screenshots
No response
System Details
sunpy Installation Information
General
OS: Mac OS 13.3.1
Arch: 64bit, (arm)
sunpy: 4.1.6
Installation path: /Users/mattcraig/mambaforge/envs/sunraster-dev/lib/python3.11/site-packages/sunpy-4.1.6.dist-info
python: 3.11.3
Required Dependencies
astropy: 5.2.2
numpy: 1.24.3
packaging: 23.1
parfive: 2.0.2
Optional Dependencies
asdf: 2.15.0
asdf-astropy: 0.4.0
beautifulsoup4: 4.12.2
cdflib: Missing cdflib!=0.4.0,>=0.3.19; extra == "timeseries"
dask: Missing dask[array]>=2.0.0; extra == "dask"
drms: Missing drms>=0.6.1; extra == "net"
glymur: Missing glymur!=0.9.0,!=0.9.5,>=0.8.18; extra == "jpeg2000"
h5netcdf: Missing h5netcdf>=0.8.1; extra == "timeseries"
h5py: Missing h5py>=3.1.0; extra == "timeseries"
lxml: Missing lxml>=4.8.0; extra == "jpeg2000"
matplotlib: 3.7.1
mpl-animators: 1.1.0
pandas: Missing pandas>=1.0.0; extra == "timeseries"
python-dateutil: 2.8.2
reproject: Missing reproject; extra == "docs" or "map"
scikit-image: Missing scikit-image>=0.16.0; extra == "image"
scipy: 1.10.1
sqlalchemy: Missing sqlalchemy>=1.3.4; extra == "database"
tqdm: 4.65.0
zeep: Missing zeep>=3.4.0; extra == "net"
Other
ndcube: 2.1.1
Installation method
git checkout