Welcome to emout’s documentation!

EMSESの出力ファイルを取り扱うパッケージ.

Installation

$ pip install emout

Example code

Usage

以下のようなフォルダ構成の場合のサンプルコード

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

データのロード

>>> 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"

データのプロット

>>> 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

パラメータファイル(plasma.inp)の取得

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

単位変換(EMSES単位系 <=> SI単位系)

>>> 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

データマスクの適用

>>> # 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

グループ化

>>> from emout.utils import Group
>>> data1 = emout.Emout('output_dir1')
>>> data2 = emout.Emout('output_dir2')
>>>
>>> # grouping
>>> group = Group([data1, data2])
>>> group.phisp[10][100, :, :].plot(show=True, title=group.directory.name)
>>>
>>> # above code does the same as this code
>>> data1.phisp[10][100, :, :].plot(show=True, title=data1.directory.name)
>>> data2.phisp[10][100, :, :].plot(show=True, title=data2.directory.name)

継続したシミュレーション結果を扱う

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

Modules:

Indices and tables