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Wiki source code of DEMO - Working with FLASH data

Version 22.1 by cpassow on 2022-04-05 14:42
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25 conda ?
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105 login maxwell display
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109 use slix
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113 use hdfview plugin in jupterLab
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117 create conda env with flashh5
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127 ----
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129 ==== under review ====
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133 {{code language="bash"}}
134 conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
135 source activate flashh5
136 conda install ipython numpy pandas #TODO: fix dependcies
137 conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
138
139 ## on jhub
140 conda install ipykernel
141 python -m ipykernel install --user --name flashh5 --display-name "flashh5"
142
143
144 ## to remove on jhub
145 ## delete from: /home/$USER/.local/share/jupyter/kernels/
146 {{/code}}
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150 {{code language="py" title="moved to repository?"}}
151 class RunDirectory:
152
153 def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ?
154 ...
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156 def get_run(daq, run_number): # daq is not needed!
157
158 ...
159
160
161 class Run:
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163 def get_files():
164 ...
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166 def get_channels(): # of file #1
167 ...
168
169 def get_start_time(): # better as attribute?
170 ...
171
172 def get_stop_time(): # which? | better as attribute?
173 ...
174
175 def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception
176 ...
177
178 def to_series(channel):
179 ...
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181 def to_array(channel):
182 ...
183 {{/code}}
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185 {{code language="py" title="ideas"}}
186 run.to_df(daq_map)
187 run.to_series(daq_adr or daq_map) # on channel only?
188 run.to_array(daq_adr) # on channel only?
189
190 ## interesting?
191 # run.to_dask(daq_map)
192 # run.to_xarray(daq_map)
193 {{/code}}
194
195 \\