[update] added check for nan values in waveforms which crashed obspy filter routines

[minor] some tweaks and optimisations

pylot/core/pick/autopick.py

@@ -660,7 +660,7 @@ class AutopickStation(object):
             ax1.set_ylim([-1.5, 1.5])
             ax1.set_ylabel('Normalized Counts')
 
-            if self.horizontal_traces_exist() and self.s_data.Sflag == 1:
+            if self.horizontal_traces_exist():# and self.s_data.Sflag == 1:
                 # plot E trace
                 ax2 = fig.add_subplot(3, 1, 2, sharex=ax1)
                 th1data = np.linspace(0, self.etrace.stats.endtime - self.etrace.stats.starttime,

pylot/core/pick/utils.py

@@ -1332,22 +1332,6 @@ def get_quality_class(uncertainty, weight_classes):
     return quality
 
 
-def set_NaNs_to(data, nan_value):
-    """
-    Replace all NaNs in data with nan_value
-    :param data: array holding data
-    :type data: `~numpy.ndarray`
-    :param nan_value: value which all NaNs are set to
-    :type nan_value: float, int
-    :return: data array with all NaNs replaced with nan_value
-    :rtype: `~numpy.ndarray`
-    """
-    nn = np.isnan(data)
-    if np.any(nn):
-        data[nn] = nan_value
-    return data
-
-
 def taper_cf(cf):
     """
     Taper cf data to get rid off of side maximas