Fix yet another Pandas Timestamp -> int64 conversion change

Also bumped examples to work with Pandas v2 w/o warnings.

finplot/__init__.py

@@ -2658,11 +2658,18 @@ def _get_color(ax, style, wanted_color):
 def _pdtime2epoch(t):
     if isinstance(t, pd.Series):
         if isinstance(t.iloc[0], pd.Timestamp):
+            dtype = str(t.dtype)
+            if dtype.endswith('[s]'):
+                return t.view('int64') * int(1e9)
+            elif dtype.endswith('[ms]'):
+                return t.view('int64') * int(1e6)
+            elif dtype.endswith('us'):
+                return t.view('int64') * int(1e3)
             return t.view('int64')
         h = np.nanmax(t.values)
         if h < 1e10: # handle s epochs
             return (t*1e9).astype('int64')
-        if h < 1e13: # handle ns epochs
+        if h < 1e13: # handle ms epochs
             return (t*1e6).astype('int64')
         if h < 1e16: # handle us epochs
             return (t*1e3).astype('int64')
@@ -2753,7 +2760,6 @@ def _x2t(datasrc, x, ts2str):
             if not datasrc.timebased():
                 return '%g' % t, False
             s = ts2str(t)
-
             if epoch_period >= 23*60*60: # daylight savings, leap seconds, etc
                 i = s.index(' ')
             elif epoch_period >= 59: # consider leap seconds

finplot/examples/embed.py

@@ -16,7 +16,7 @@
 
 combo = QComboBox()
 combo.setEditable(True)
-[combo.addItem(i) for i in 'AMRK META REVG TSLA TWTR WMT CT=F GC=F ^GSPC ^FTSE ^N225 EURUSD=X ETH-USD'.split()]
+[combo.addItem(i) for i in 'AMRK META REVG TSLA WMT CT=F GC=F ^GSPC ^FTSE ^N225 EURUSD=X ETH-USD'.split()]
 layout.addWidget(combo, 0, 0, 1, 1)
 info = QLabel()
 layout.addWidget(info, 0, 1, 1, 1)

finplot/examples/snp500.py

@@ -47,7 +47,8 @@ def update_legend_text(x, y):
     # format html with the candle and set legend
     fmt = '<span style="color:#%s">%%.2f</span>' % ('0b0' if (row.Open<row.Close).all() else 'a00')
     rawtxt = '<span style="font-size:13px">%%s %%s</span> &nbsp; O%s C%s H%s L%s' % (fmt, fmt, fmt, fmt)
-    hover_label.setText(rawtxt % (symbol, interval.upper(), row.Open, row.Close, row.High, row.Low))
+    values = [v.iloc[0] for v in (row.Open, row.Close, row.High, row.Low)]
+    hover_label.setText(rawtxt % tuple([symbol, interval.upper()] + values))
 
 def update_crosshair_text(x, y, xtext, ytext):
     ytext = '%s (Close%+.2f)' % (ytext, (y - df.iloc[x].Close))