Add function to pick out scans based on timestamps
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1 changed files with 24 additions and 3 deletions
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@ -4,6 +4,7 @@ from matplotlib.ticker import (MultipleLocator, FormatStrFormatter,AutoMinorLoca
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import pandas as pd
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import numpy as np
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import math
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import datetime
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#import ipywidgets as widgets
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#from IPython.display import display
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@ -13,7 +14,7 @@ import nafuma.plotting as btp
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import nafuma.auxillary as aux
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def plot_xanes(data, options=None):
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def plot_xanes(data, options={}):
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# Update options
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@ -30,8 +31,6 @@ def plot_xanes(data, options=None):
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options = aux.update_options(options=options, required_options=required_options, default_options=default_options)
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print(options['xunit'])
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if not 'xanes_data' in data.keys():
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data['xanes_data'] = xas.io.load_data(data=data, options=options)
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@ -59,6 +58,28 @@ def plot_xanes(data, options=None):
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return fig, ax
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def pick_out_scans(metadata: dict, timestamp: list):
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# If either start or end are None, set to way back when or way into the future
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if not timestamp[0]:
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timestamp[0] = datetime.datetime.strptime('1970 01 01 00:00:00', '%Y %m %d %H:%M:%S')
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else:
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timestamp[0] = datetime.datetime.strptime(timestamp[0], "%d.%b %y %H.%M.%S")
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if not timestamp[1]:
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timestamp[1] = datetime.datetime.strptime('3000 01 01 00:00:00', '%Y %m %d %H:%M:%S')
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else:
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timestamp[1] = datetime.datetime.strptime(timestamp[1], "%d.%b %y %H.%M.%S")
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scans = []
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for i, time in enumerate(metadata['time']):
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if time >= timestamp[0] and time <= timestamp[1]:
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scans.append(i)
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return scans
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