Add working plot_xanes function
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2 changed files with 78 additions and 33 deletions
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from . import io, calib, edges
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from . import io, calib, plot, edges
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@ -17,9 +17,12 @@ def plot_xanes(data, options=None):
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# Update options
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required_options = ['which_scans', 'colours', 'gradient', 'rc_params', 'format_params']
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required_options = ['which_scans', 'xlabel', 'ylabel', 'xunit', 'yunit', 'exclude_scans', 'colours', 'gradient', 'rc_params', 'format_params']
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default_options = {
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'which_scans': 'all',
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'xlabel': 'Energy', 'ylabel': 'Intensity',
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'xunit': 'keV', 'yunit': 'arb. u.',
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'exclude_scans': [],
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'colours': None,
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'gradient': False,
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'rc_params': {},
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@ -27,69 +30,111 @@ 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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# Update list of cycles to correct indices
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update_scans_list(scans=data['path'], options=options)
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update_scans_list(data=data, options=options)
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colours = generate_colours(cycles=data['cycles'], options=options)
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if options['interactive']:
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options['interactive'], options['interactive_session_active'] = False, True
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plot_gc_interactive(data=data, options=options)
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return
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colours = generate_colours(scans=data['path'], options=options)
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# Prepare plot, and read and process data
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fig, ax = btp.prepare_plot(options=options)
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for i, cycle in enumerate(data['cycles']):
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if i in options['which_cycles']:
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if options['charge']:
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cycle[0].plot(x=options['x_vals'], y=options['y_vals'], ax=ax, c=colours[i][0])
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for i, path in enumerate(data['path']):
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if i in options['which_scans']:
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data['xanes_data'].plot(x='ZapEnergy', y=path, ax=ax, c=colours[i])
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if options['discharge']:
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cycle[1].plot(x=options['x_vals'], y=options['y_vals'], ax=ax, c=colours[i][1])
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if options['interactive_session_active']:
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update_labels(options, force=True)
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else:
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update_labels(options)
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fig, ax = btp.adjust_plot(fig=fig, ax=ax, options=options)
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#if options['interactive_session_active']:
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return data['cycles'], fig, ax
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return fig, ax
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def update_scans_list(scans, options: dict) -> None:
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def update_scans_list(data, options: dict) -> None:
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if options['which_scans'] == 'all':
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options['which_scans'] = [i for i in range(len(scans))]
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options['which_scans'] = [i for i in range(len(data['path']))]
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elif type(options['which_scans']) == list:
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options['which_scans'] = [i-1 for i in options['which_scans']]
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elif isinstance(options['which_scans'], list):
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scans =[]
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for scan in options['which_scans']:
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if isinstance(scan, int):
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scans.append(scan-1)
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elif isinstance(scan, tuple):
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interval = [i-1 for i in range(scan[0], scan[1]+1)]
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scans.extend(interval)
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options['which_scans'] = scans
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# Tuple is used to define an interval - as elements tuples can't be assigned, I convert it to a list here.
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elif type(options['which_cycles']) == tuple:
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which_cycles = list(options['which_cycles'])
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elif isinstance(options['which_scans'], tuple):
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which_scans = list(options['which_scans'])
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if which_cycles[0] <= 0:
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which_cycles[0] = 1
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if which_scans[0] <= 0:
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which_scans[0] = 1
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elif which_cycles[1] < 0:
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which_cycles[1] = len(cycles)
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elif which_scans[1] < 0:
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which_scans[1] = len(options['which_scans'])
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options['which_cycles'] = [i-1 for i in range(which_cycles[0], which_cycles[1]+1)]
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options['which_scans'] = [i-1 for i in range(which_scans[0], which_scans[1]+1)]
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for i, scan in enumerate(options['which_scans']):
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if scan in options['exclude_scans']:
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del options['which_scans'][i]
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def generate_colours(scans, options):
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# FIXME Make this a generalised function and use this instead of this and in the electrochemsitry submodule
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# Assign colours from the options dictionary if it is defined, otherwise use standard colours.
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if options['colours']:
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colour = options['colours']
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else:
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#colour = (214/255, 143/255, 214/255) # Plum Web (#D68FD6), coolors.co
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colour = (90/255, 42/255, 39/255) # Caput Mortuum(#5A2A27), coolors.co
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# If gradient is enabled, find start and end points for each colour
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if options['gradient']:
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add = min([(1-x)*0.75 for x in colour])
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colour_start = colour
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colour_end = [x+add for x in colour]
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# Generate lists of colours
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colours = []
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for scan_number in range(0, len(scans)):
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if options['gradient']:
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weight_start = (len(scans) - scan_number)/len(scans)
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weight_end = scan_number/len(scans)
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colour = [weight_start*start_colour + weight_end*end_colour for start_colour, end_colour in zip(colour_start, colour_end)]
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colours.append(colour)
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return colours
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