vpr: Add router lookahead plotting script
diff --git a/vpr/scripts/plot_vpr_lookahead.py b/vpr/scripts/plot_vpr_lookahead.py
new file mode 100755
index 0000000..a1e7012
--- /dev/null
+++ b/vpr/scripts/plot_vpr_lookahead.py
@@ -0,0 +1,91 @@
+#!/usr/bin/env python
+import argparse
+import sys
+import os
+from matplotlib import pyplot as plt
+from matplotlib.mlab import griddata
+
+import pandas as pd
+import numpy as np
+
+def parse_args():
+
+ parser = argparse.ArgumentParser()
+
+ parser.add_argument("csv_file")
+
+ parser.add_argument("--value",
+ required=True,)
+
+ parser.add_argument("--min",
+ default=None)
+
+ parser.add_argument("--max",
+ default=None)
+
+ parser.add_argument("-f", "--file",
+ help="Output file name")
+
+ return parser.parse_args()
+
+def main():
+
+ args = parse_args()
+
+ df = pd.read_csv(args.csv_file)
+
+ nx = len(df['dx'].unique())
+ ny = len(df['dy'].unique())
+
+ print "nx: {} ny: {}".format(nx, ny)
+
+ x = df['dx'].values
+ y = df['dy'].values
+ v = df[args.value].values
+
+ X = np.empty((nx+1, ny+1))
+ Y = np.empty((nx+1, ny+1))
+ V = np.empty((nx, ny))
+ X[:] = np.nan
+ Y[:] = np.nan
+ V[:] = np.nan
+
+ ix = 0
+ for dx in df['dx'].unique():
+ iy = 0
+ for dy in df['dy'].unique():
+ X[ix,iy] = dx
+ Y[ix,iy] = dy
+
+ entry = df[(df['dx'] == dx) & (df['dy'] == dy)]
+ if not entry.empty:
+ V[ix,iy] = entry[args.value]
+ else:
+ V[ix,iy] = np.nan
+ iy += 1
+ ix += 1
+
+ print "Max Value: {}".format(np.nanmax(V))
+ print "Min Value: {}".format(np.nanmin(V))
+
+ # plt.scatter(X,Y,c=C)
+ # plt.pcolor(V)
+ # plt.pcolor(X, Y, V)
+ # plt.imshow(V)
+ pcol = plt.pcolor(X, Y, V, linewidth=0, rasterized=True, vmin=args.min, vmax=args.max)
+ pcol.set_edgecolor('face')
+ # plt.contourf(V)
+
+ plt.colorbar()
+ plt.xlabel('$\Delta x$')
+ plt.ylabel('$\Delta y$')
+
+ plt.tight_layout()
+ if not args.file:
+ plt.show()
+ else:
+ plt.savefig(args.file, dpi=300)
+
+
+if __name__ == "__main__":
+ main()
