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authortlatorre <tlatorre@uchicago.edu>2019-05-14 09:46:09 -0500
committertlatorre <tlatorre@uchicago.edu>2019-05-14 09:46:09 -0500
commit8697730f16ec870938ccd243e54a80afdfdfb0a7 (patch)
treee3bc9da2f49172660e87d4c830df77df0d4cbe08 /utils
parentae2156d64e57ce4c976587d2ecab239c836ac8f0 (diff)
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add --plot-likelihood option to fit
Diffstat (limited to 'utils')
-rwxr-xr-xutils/plot-likelihood48
1 files changed, 48 insertions, 0 deletions
diff --git a/utils/plot-likelihood b/utils/plot-likelihood
new file mode 100755
index 0000000..2442236
--- /dev/null
+++ b/utils/plot-likelihood
@@ -0,0 +1,48 @@
+#!/usr/bin/env python
+# Copyright (c) 2019, Anthony Latorre <tlatorre at uchicago>
+#
+# This program is free software: you can redistribute it and/or modify it
+# under the terms of the GNU General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option)
+# any later version.
+#
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
+# more details.
+#
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <https://www.gnu.org/licenses/>.
+
+from __future__ import print_function, division
+import numpy as np
+
+# on retina screens, the default plots are way too small
+# by using Qt5 and setting QT_AUTO_SCREEN_SCALE_FACTOR=1
+# Qt5 will scale everything using the dpi in ~/.Xresources
+import matplotlib
+matplotlib.use("Qt5Agg")
+
+if __name__ == '__main__':
+ import argparse
+ from mpl_toolkits.mplot3d import axes3d
+ import matplotlib.pyplot as plt
+
+ parser = argparse.ArgumentParser("plot likelihood function")
+ parser.add_argument("filenames", nargs='+', help="input files")
+ args = parser.parse_args()
+
+ for filename in args.filenames:
+ print(filename)
+ data = np.genfromtxt(filename)
+
+ fig = plt.figure()
+ ax = fig.add_subplot(111, projection='3d')
+
+ X = data[:,0].reshape((50,50))
+ Y = data[:,1].reshape((50,50))
+ Z = data[:,2].reshape((50,50))
+
+ ax.plot_wireframe(X, Y, Z)
+
+ plt.show()