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-rwxr-xr-xutils/plot-energy4
-rwxr-xr-xutils/plot-fit-results6
2 files changed, 5 insertions, 5 deletions
diff --git a/utils/plot-energy b/utils/plot-energy
index 969cc4b..1e8cbcb 100755
--- a/utils/plot-energy
+++ b/utils/plot-energy
@@ -113,8 +113,8 @@ if __name__ == '__main__':
parser.add_argument("filenames", nargs='+', help="input files")
args = parser.parse_args()
- ev = pd.concat([pd.read_hdf(filename, "ev") for filename in args.filenames])
- fits = pd.concat([pd.read_hdf(filename, "fits") for filename in args.filenames])
+ ev = pd.concat([pd.read_hdf(filename, "ev") for filename in args.filenames],ignore_index=True)
+ fits = pd.concat([pd.read_hdf(filename, "fits") for filename in args.filenames],ignore_index=True)
# This is a bit of a hack. It appears that many times the fit will
# actually do much better by including a very low energy electron or
diff --git a/utils/plot-fit-results b/utils/plot-fit-results
index cb90c8d..ab08586 100755
--- a/utils/plot-fit-results
+++ b/utils/plot-fit-results
@@ -92,9 +92,9 @@ if __name__ == '__main__':
#
# Note: We have to add the filename as a column to each dataset since this
# script is used to analyze MC data which all has the same run number.
- ev = pd.concat([pd.read_hdf(filename, "ev").assign(filename=filename) for filename in args.filenames])
- fits = pd.concat([pd.read_hdf(filename, "fits").assign(filename=filename) for filename in args.filenames])
- mcgn = pd.concat([pd.read_hdf(filename, "mcgn").assign(filename=filename) for filename in args.filenames])
+ ev = pd.concat([pd.read_hdf(filename, "ev").assign(filename=filename) for filename in args.filenames],ignore_index=True)
+ fits = pd.concat([pd.read_hdf(filename, "fits").assign(filename=filename) for filename in args.filenames],ignore_index=True)
+ mcgn = pd.concat([pd.read_hdf(filename, "mcgn").assign(filename=filename) for filename in args.filenames],ignore_index=True)
# get rid of 2nd events like Michel electrons
ev = ev.sort_values(['run','gtid']).groupby(['filename','evn'],as_index=False).nth(0)