rm/merge example scripts
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@ -50,8 +50,7 @@ pip install --user --upgrade -r requirements.txt
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# witzit scripts
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* `witzit-load-x555` --- Load and text display data from SciAps X-555 XRF.
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* `witzit-load-vanta` --- Load and text display data from Olympus Vanta XRF.
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* `witzit-load` --- Load and text display data from SciAps or Olympus XRF.
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Development is most easily done under Jupyter with Tensorboard
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for training models. These files are in the `notebooks/` directory.
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@ -1,41 +0,0 @@
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#!/usr/bin/python3
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#
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# witzit-load.py
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#
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# Copyright (C) 2022, Jeff Moe
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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# witzit-load
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# Load a sample from a Olympus Vanta XRF
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#
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# Usage:
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# witzit-load-vanta.py
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# Example:
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# witzit-load-vanta.py
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import numpy as np
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import pandas as pd
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df = pd.read_csv('examples/olympus-vanta.csv', header = 0,
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skiprows=40,
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names=('eV', 'Counts'),
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usecols = [0, 1])
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df['eV'] = df['eV'] * 1000
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with pd.option_context('display.max_rows', None,
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'display.max_columns', None
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):
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print(df)
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@ -1,41 +0,0 @@
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#!/usr/bin/python3
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#
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# witzit-load.py
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#
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# Copyright (C) 2022, Jeff Moe
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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# witzit-load
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# Load a sample from a SciAps LIBS or XRF
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#
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# Usage:
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# witzit-load.py
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# Example:
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# witzit-load.py
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import numpy as np
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import pandas as pd
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template = pd.read_csv('template/sciaps-x555.csv')
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mca = pd.read_csv('examples/golden_buffalo.mca', skiprows=21)
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df=template.join(mca)
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with pd.option_context('display.max_rows', None,
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'display.max_columns', None,
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):
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print(df)
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