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-rw-r--r--examples/doc_builtinmodels_peakmodels.py24
1 files changed, 12 insertions, 12 deletions
diff --git a/examples/doc_builtinmodels_peakmodels.py b/examples/doc_builtinmodels_peakmodels.py
index 108ad53..0708a25 100644
--- a/examples/doc_builtinmodels_peakmodels.py
+++ b/examples/doc_builtinmodels_peakmodels.py
@@ -16,9 +16,9 @@ out = mod.fit(y, pars, x=x)
print(out.fit_report(min_correl=0.25))
-plt.plot(x, y, 'b-')
-plt.plot(x, out.best_fit, 'r-', label='Gaussian Model')
-plt.legend(loc='best')
+plt.plot(x, y)
+plt.plot(x, out.best_fit, '-', label='Gaussian Model')
+plt.legend()
plt.show()
@@ -30,9 +30,9 @@ out = mod.fit(y, pars, x=x)
print(out.fit_report(min_correl=0.25))
plt.figure()
-plt.plot(x, y, 'b-')
-plt.plot(x, out.best_fit, 'r-', label='Lorentzian Model')
-plt.legend(loc='best')
+plt.plot(x, y, '-')
+plt.plot(x, out.best_fit, '-', label='Lorentzian Model')
+plt.legend()
plt.show()
@@ -45,16 +45,16 @@ print(out.fit_report(min_correl=0.25))
fig, axes = plt.subplots(1, 2, figsize=(12.8, 4.8))
-axes[0].plot(x, y, 'b-')
-axes[0].plot(x, out.best_fit, 'r-', label='Voigt Model\ngamma constrained')
-axes[0].legend(loc='best')
+axes[0].plot(x, y, '-')
+axes[0].plot(x, out.best_fit, '-', label='Voigt Model\ngamma constrained')
+axes[0].legend()
# free gamma parameter
pars['gamma'].set(value=0.7, vary=True, expr='')
out_gamma = mod.fit(y, pars, x=x)
-axes[1].plot(x, y, 'b-')
-axes[1].plot(x, out_gamma.best_fit, 'r-', label='Voigt Model\ngamma unconstrained')
-axes[1].legend(loc='best')
+axes[1].plot(x, y, '-')
+axes[1].plot(x, out_gamma.best_fit, '-', label='Voigt Model\ngamma unconstrained')
+axes[1].legend()
plt.show()
# <end examples/doc_builtinmodels_peakmodels.py>