diff --git a/bin/minifollowups/pycbc_page_snglinfo b/bin/minifollowups/pycbc_page_snglinfo
index e4e9edcd9e4..df9bb631beb 100644
--- a/bin/minifollowups/pycbc_page_snglinfo
+++ b/bin/minifollowups/pycbc_page_snglinfo
@@ -72,6 +72,7 @@ pycbc.init_logging(args.verbose)
 
 # Get the single-ifo triggers
 sngl_file = hdf.SingleDetTriggers(
+    args.single_trigger_file,
     args.instrument,
     bank_file=args.bank_file,
     veto_file=args.veto_file,
diff --git a/bin/minifollowups/pycbc_plot_trigger_timeseries b/bin/minifollowups/pycbc_plot_trigger_timeseries
index a5ce5a4895a..68cd473fa56 100644
--- a/bin/minifollowups/pycbc_plot_trigger_timeseries
+++ b/bin/minifollowups/pycbc_plot_trigger_timeseries
@@ -67,6 +67,8 @@ for ifo in args.single_trigger_files.keys():
             group=ifo,
             indices_only=True
         )
+        data_mask = np.zeros(data[ifo]['snr'].size, dtype=bool)
+        data_mask[idx] = True
 
     if not len(idx):
         # No triggers in this window, add to the legend and continue
@@ -80,7 +82,7 @@ for ifo in args.single_trigger_files.keys():
     trigs = SingleDetTriggers(
         args.single_trigger_files[ifo],
         ifo,
-        premask=idx
+        premask=data_mask
     )
 
     any_data = True
diff --git a/bin/plotting/pycbc_plot_hist b/bin/plotting/pycbc_plot_hist
index 0f98a114ea8..b6602ab8bef 100644
--- a/bin/plotting/pycbc_plot_hist
+++ b/bin/plotting/pycbc_plot_hist
@@ -46,7 +46,7 @@ pycbc.init_logging(args.verbose)
 f = h5py.File(args.trigger_file, 'r')
 ifo = tuple(f.keys())[0]
 
-# Apply presort if we can, if we cant, load everything but it may be
+# Apply presort if we can; if we can't, load everything but it may be
 # inefficient
 xv = args.x_var if args.x_var in ranking.required_datasets else None
 xt = args.x_min if args.x_var in ranking.required_datasets else None
diff --git a/bin/plotting/pycbc_plot_singles_vs_params b/bin/plotting/pycbc_plot_singles_vs_params
index 59e22deddbf..be70e065a27 100644
--- a/bin/plotting/pycbc_plot_singles_vs_params
+++ b/bin/plotting/pycbc_plot_singles_vs_params
@@ -93,13 +93,14 @@ if opts.min_snr:
         idx = trig_file.select(
             lambda snr: snr >= opts.min_snr,
             'snr',
-            group=opts.detector
+            group=opts.detector,
+            indices_only=True,
         )
     logging.info('%d triggers after snr mask', idx.size)
     data_mask = np.zeros(n_triggers_orig, dtype=bool)
     data_mask[idx] = True
 else:
-    idx = None
+    data_mask = None
 
 if opts.z_var == 'density' or opts.min_z is None:
     filter_rank = None
@@ -116,7 +117,7 @@ trigs = pycbc.io.SingleDetTriggers(
     veto_file=opts.veto_file,
     segment_name=opts.segment_name,
     premask=data_mask,
-    filter_func=opt.filter_string,
+    filter_func=opts.filter_string,
     filter_rank=filter_rank,
     filter_threshold=filter_thresh
 )
@@ -126,16 +127,16 @@ trigs = pycbc.io.SingleDetTriggers(
 x = getattr(trigs, opts.x_var)
 y = getattr(trigs, opts.y_var)
 
-mask = np.ones(len(x), dtype=bool)		
-if opts.min_x is not None:		
-    mask = np.logical_and(mask, x >= opts.min_x)		
-if opts.max_x is not None:		
-    mask = np.logical_and(mask, x <= opts.max_x)		
-if opts.min_y is not None:		
-    mask = np.logical_and(mask, y >= opts.min_y)		
-if opts.max_y is not None:		
-    mask = np.logical_and(mask, y <= opts.max_y)		
-x = x[mask]		
+mask = np.ones(len(x), dtype=bool)
+if opts.min_x is not None:
+    mask = np.logical_and(mask, x >= opts.min_x)
+if opts.max_x is not None:
+    mask = np.logical_and(mask, x <= opts.max_x)
+if opts.min_y is not None:
+    mask = np.logical_and(mask, y >= opts.min_y)
+if opts.max_y is not None:
+    mask = np.logical_and(mask, y <= opts.max_y)
+x = x[mask]
 y = y[mask]
 
 hexbin_style = {
diff --git a/pycbc/io/hdf.py b/pycbc/io/hdf.py
index 8042145651d..8d585c16361 100644
--- a/pycbc/io/hdf.py
+++ b/pycbc/io/hdf.py
@@ -519,7 +519,7 @@ def __init__(self, trig_file, detector, bank_file=None, veto_file=None,
             self.bank = {}
 
         # Apply some masks to start off with - here we should try and apply
-        # them in the order which cuts our the most things earliest.
+        # them in the order which cuts most things earliest.
         self.mask = premask
 
         if filter_rank: