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NLSL
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Go to the source code of this file.
Namespaces | |
| BL05CHSA | |
Functions | |
| def | BL05CHSA.read_column_data (filename) |
Variables | |
| tuple | BL05CHSA.proc = Popen(['./nlsl'],stdin = PIPE, stderr = STDOUT) |
| tuple | BL05CHSA.fp = open('BL05CHSA.run') |
| tuple | BL05CHSA.output = proc.communicate(input = fp.read()) |
| tuple | BL05CHSA.data = read_column_data('BL05CHSA.spc') |
| list | BL05CHSA.fields = data[:,0] |
| list | BL05CHSA.experimental = data[:,1] |
| list | BL05CHSA.fit = data[:,2] |
| tuple | BL05CHSA.integral_of_spectrum = cumsum(experimental) |
| tuple | BL05CHSA.normalization = abs(sum(integral_of_spectrum)) |
| tuple | BL05CHSA.fig = figure(figsize = (9,6)) |
| list | BL05CHSA.components = data[:,3:] |
| tuple | BL05CHSA.max_of_fit = max(fit) |
| tuple | BL05CHSA.ax = gca() |
| tuple | BL05CHSA.ylims = ax.get_ylim() |
| tuple | BL05CHSA.scale_integral = max_of_fit/max(integral_of_spectrum) |
| int | BL05CHSA.loc = 2 |
| int | BL05CHSA.borderaxespad = 0 |
| tuple | BL05CHSA.rms = mean((fit/normalization-experimental/normalization)**2) |
| string | BL05CHSA.horizontalalignment = 'left' |
| string | BL05CHSA.verticalalignment = 'top' |
| BL05CHSA.transform = ax.transAxes) | |