parent
b2129805dc
commit
3d5a4ed6aa
@ -170,7 +170,7 @@ def parse_1D(fileobj, data_type):
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while len(counts) < s["n_points"]:
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counts.extend(map(float, next(fileobj).split()))
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s["counts"] = np.array(counts)
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s["counts_err"] = np.sqrt(s["counts"])
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s["counts_err"] = np.sqrt(np.maximum(s["counts"], 1))
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if s["h"].is_integer() and s["k"].is_integer() and s["l"].is_integer():
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s["h"], s["k"], s["l"] = map(int, (s["h"], s["k"], s["l"]))
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@ -208,7 +208,7 @@ def parse_1D(fileobj, data_type):
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for name in col_names:
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s[name] = np.array(s[name])
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s["counts_err"] = np.sqrt(s["counts"])
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s["counts_err"] = np.sqrt(np.maximum(s["counts"], 1))
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s["scan_motors"] = []
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for motor, step in zip(motors, steps):
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@ -220,8 +220,7 @@ def fit_scan(scan, model_dict, fit_from=None, fit_to=None):
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else:
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model += _model
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weights = [1 / y_err if y_err != 0 else 1 for y_err in y_err]
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scan["fit"] = model.fit(y_fit, x=x_fit, weights=weights)
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scan["fit"] = model.fit(y_fit, x=x_fit, weights=1 / y_err)
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def get_area(scan, area_method, lorentz):
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