pip install emout

.
└── output_dir
    ├── plasma.inp
    ├── phisp00_0000.h5
    ├── nd1p00_0000.h5
    ├── nd2p00_0000.h5
    ├── j1x00_0000.h5
    ├── j1y00_0000.h5
    ...
    └── bz00_0000.h5

>>> import emout
>>> data = emout.Emout('output_dir')
>>>
>>> data.phisp  # data of "phisp00_0000.h5"
>>> len(data.phisp)
11
>>> data.phisp[0].shape
(513, 65, 65)
>>> data.j1x  # data of "j1x00_0000.h5"
>>> data.bz  # data of "bz00_0000.h5"

>>> x, y, z = 32, 32, 100
>>> data.phisp[1][z, :, :].plot()  # plot xy-plane at z=100
>>> data.phisp[1][:, y, x].plot()  # plot center line along z-axis

>>> data.phisp[1][z, :, :].plot(use_si=True)  # can plot with SI-unit (such as x[m], y[m], phisp[V])

>>> data.phisp[1][z, :, :].plot(show=True)  # to view the plot on the fly (same as matplotlib.pyplot.show())
>>> data.phisp[1][z, :, :].plot(savefilename='phisp.png')  # to save to the file

>>> data.inp  # namelist of 'plasma.inp'
>>> data.inp['tmgrid']['nx']  # inp[group_name][parameter_name]
64
>>> data.inp['nx']  # can omit group name
64
>>> data.inp.tmgrid.nx  # can access like attribute
>>> data.inp.nx  # can also omit group name

>>> data.unit.v.trans(1)  # velocity: Physical unit to EMSES unit
3.3356409519815205e-05
>>> data.unit.v.reverse(1)  # velocity: EMSES unit to Physical unit
29979.2458

>>> # SI単位系に変換した値を取得する
>>> phisp_volt = data.phisp[-1, :, :, :].val_si
>>> j1z_A_per_m2 = data.j1z[-1, :, :, :].val_si
>>> nd1p_per_cc = data.nd1p[-1, :, :, :].val_si

>>> import emout
>>> data = emout.Emout('output_dir', append_directories=['output_dir2', 'output_dir3'])

>>> # mask below average values
>>> data.phisp[1].masked(lambda phi: phi < phi.mean())
>>>
>>> # above code does the same as this code
>>> phi = data.phisp[1].copy()
>>> phi[phi < phi.mean()] = np.nan