Jim Lewis

``` import pyspedas from pytplot import tplot mepe_vars = pyspedas.erg.mepe(trange=['2017-03-27', '2017-03-28']) tplot('erg_mepe_l2_omniflux_FEDO') ``` gives an error at MPLPlotter/tplot.py line 497: ``` File "/Users/jwl/PycharmProjects/pyspedas/venv/lib/python3.9/site-packages/pytplot/MPLPlotter/tplot.py", line 497, in tplot colorbar = fig.colorbar(colorbars[variable]['im'],...

As with the recent PR for avg_data.py, many of our other pytplot utilities could return a list of new tplot variables created, making them easier and more flexible to use.

[email protected] emailed me asking if we could go back to using unix times internally in pytplot, rather than datetimes. They noticed that conversion of CDF epoch values to datetimes is...

Denton [2020] describes some techniques using MMS magnetic field observations and current density estimates (via the curlometer technique) to perform higher order (quadratic and cubic) reconstructions of magnetic fields near...

We have MDD available in IDL SPEDAS...this might be needed in PySPEDAS to support polynomial reconstruction of magnetic fields as described in Denton 2020.

This looks like something we ought to take a close look at: ``` 20-Jan-24 03:31:21: Downloading https://ergsc.isee.nagoya-u.ac.jp/data/ergsc/satellite/erg/hep/l2/omniflux/2017/03/erg_hep_l2_omniflux_20170327_v03_01.cdf to data/ergsc/satellite/erg/hep/l2/omniflux/2017/03/erg_hep_l2_omniflux_20170327_v03_01.cdf 20-Jan-24 03:31:21: Download complete: data/ergsc/satellite/erg/hep/l2/omniflux/2017/03/erg_hep_l2_omniflux_20170327_v03_01.cdf 20-Jan-24 03:31:21: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pytplot/importers/cdf_to_tplot.py:324: FutureWarning: elementwise comparison...

Cluster has all sorts of weird constructs in the CDFs we get from the CSA. In IDL, we've made a number of changes to spd_cdf2tplot to accommodate them, and there...

We just noticed a problem with the 'ephm' data type (that data type is a special case in the SPDF URLs). Our test suite should have at least one case...

This call: ``` data = pyspedas.cluster.fgm(probe=[1, 2, 3, 4], trange=['2003-08-17/16:40', '2003-08-17/16:45'], time_clip=True) ``` fails with a series of errors: ``` 10-Jan-24 18:41:20: Downloading remote index: https://spdf.gsfc.nasa.gov/pub/data/cluster/c1/up/fgm/2003/ 10-Jan-24 18:41:21: Remote index...

In the README.md example for the MMS EIS instrument: ``` import pyspedas from pytplot import tplot eis_vars = pyspedas.mms.eis(trange=['2015-10-16', '2015-10-17'], datatype=['phxtof', 'extof']) ``` There are errors being logged: ``` 08-Jan-24...