DEMO - Documentation
Version 8.1 by cpassow on 2022-04-04 09:29
- Short descriptions including Links:
- GPFS
- JupyterHub
- conda ?
- Links Repository
- including Method Description?
- Links to Binder
Questions:
- for whom
- where Maxwell / local / extern
- distribution
- channel?
- where official hosted (DESY, privat, conda-forge)
- enviroment?
- via files / already created?
- channel?
conda create -n flashh5 python=3.10
source activate flashh5
conda install ipython numpy pandas # fix dependcies
conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
## on jhub
python -m ipykernel install --user --name flashh5 --display-name "flashh5"
source activate flashh5
conda install ipython numpy pandas # fix dependcies
conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
## on jhub
python -m ipykernel install --user --name flashh5 --display-name "flashh5"
moved to repository?
class RunDirectory:
def get_run_table():
...
def get_run(daq, run_number):
...
class Run:
def get_files():
...
def get_channels(): # of file #1?
...
def get_start_time(): # better as attribute?
...
def get_stop_time(): # which? | better as attribute?
...
def to_df(channel_map):
...
def to_series(channel):
...
def to_array(channel):
...
def get_run_table():
...
def get_run(daq, run_number):
...
class Run:
def get_files():
...
def get_channels(): # of file #1?
...
def get_start_time(): # better as attribute?
...
def get_stop_time(): # which? | better as attribute?
...
def to_df(channel_map):
...
def to_series(channel):
...
def to_array(channel):
...
ideas
run.to_df(channel_map)
run.to_series(channel_string or channel_map) # on channel only?
run.to_array(channel_string) # on channel only?
## is this interesting?
# run.to_dask(dict)
# run.to_xarray(dict)
run.to_series(channel_string or channel_map) # on channel only?
run.to_array(channel_string) # on channel only?
## is this interesting?
# run.to_dask(dict)
# run.to_xarray(dict)