diff --git a/pyxlma/plot/leader_speed.py b/pyxlma/plot/leader_speed.py
new file mode 100644
index 0000000..8bc853d
--- /dev/null
+++ b/pyxlma/plot/leader_speed.py
@@ -0,0 +1,91 @@
+import numpy as np
+from numpy import radians, cos, sin, arcsin, sqrt
+import matplotlib.pyplot as plt
+import pandas as pd
+
+def haversine(lat0, lon0, lat, lon):
+
+      R = 6378.137e3 # this is in meters.  For Earth radius in kilometers use 6372.8 km
+
+      dLat = radians(lat - lat0)
+      dLon = radians(lon - lon0)
+      lat1 = radians(lat0)
+      lat2 = radians(lat)
+
+      a = sin(dLat/2)**2 + cos(lat1)*cos(lat2)*sin(dLon/2)**2
+      c = 2*arcsin(sqrt(a))
+
+      return R * c
+
+
+def get_time_distance(lat, lon, time, lat0, lon0, time0):
+    lat0=lat0*np.ones_like(lat)
+    lon0=lon0*np.ones_like(lon)
+    dt = time-time0
+    
+    distance_from_origin = (haversine(lat0,lon0,lat,lon))
+    if(type(dt) == pd.core.series.Series):
+        dt = dt.to_numpy()
+        
+    time_from_origin = ((dt).astype('timedelta64[ns]').astype(float)/1e9)
+    return distance_from_origin, time_from_origin
+
+
+def time_distance_plot_interactive(interactive_lma, ax):
+    lat = interactive_lma.this_lma_lat
+    lon = interactive_lma.this_lma_lon
+    alt = interactive_lma.this_lma_alt
+    time = interactive_lma.this_lma_time
+    first = np.nanargmin(time)
+
+    distance_from_origin, time_from_origin = get_time_distance(lat, lon, time, 
+                                                               lat[first], lon[first], time[first])
+    
+    art_out = time_distance_plot(ax, time_from_origin, distance_from_origin)
+    
+    return art_out
+    
+
+def time_distance_plot(ax, time, distance, pad_sec = 10, **kwargs):
+    m_reference_lines = 10
+    m = -m_reference_lines
+    dt = time[-1]-time[0]
+    x = np.linspace(0, dt + pad_sec, 100)
+    y = x * 2 * 10**4
+    yy = x * 10**5
+    yyy = x * 10**6
+    
+    art_out = []
+    
+    while (m < m_reference_lines):
+        art = ax.plot(x+(m/m_reference_lines), y, color = 'b')
+        art_out.extend(art)
+        art = ax.plot(x+(m/m_reference_lines), yy, color = 'r')
+        art_out.extend(art)
+        art = ax.plot(x+(m/m_reference_lines), yyy, color = 'g')
+        art_out.extend(art)
+        m+=1
+    
+    art = ax.plot(x, y, color = 'b', label = 'Positive Leader')
+    art_out.extend(art)
+    art = ax.plot(x, yy, color = 'r', label = 'Negative Leader')
+    art_out.extend(art)
+    art = ax.plot(x, yyy, color = 'g', label = 'Dart Leader')
+    art_out.extend(art)
+        
+    ax.set_ylim(0, max(distance)+1000)
+    ax.set_xlim(-0.05, max(time)+0.1) 
+    
+    sc = ax.scatter(time, distance, **kwargs)
+    art_out.append(sc)
+    #art = ax.legend(title = "Leader Type Key", loc = 2, fontsize=12, title_fontsize=16, framealpha=1)
+    #art_out.extend(art)
+    ax.set_title("Lightning Leader Speed", size=24)
+    ax.set_xlabel("Time from Origin (s)", size=12)
+    ax.set_ylabel("Distance from Origin (m)", size=12)
+    
+    return art_out
+    
+    
+    
+    
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