updated parameters and updated visualization function to better display the flow
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+18
-3
@@ -1,4 +1,5 @@
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import sys
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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from matplotlib.animation import FuncAnimation
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@@ -9,6 +10,20 @@ if len(sys.argv) < 2:
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df = pd.read_csv(sys.argv[1])
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frames = sorted(df["time"].unique())
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# Replace p.e with direction-of-next-hop: where the ped actually moves to next frame.
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# Falls back to p.e for the last frame and for teleport jumps.
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df = df.sort_values(["id", "time"]).reset_index(drop=True)
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df["dx"] = df.groupby("id")["x"].shift(-1) - df["x"]
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df["dy"] = df.groupby("id")["y"].shift(-1) - df["y"]
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mag = np.sqrt(df["dx"]**2 + df["dy"]**2)
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TELEPORT_THRESHOLD = 5.0 # any per-step jump larger than this is the teleport, not motion
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fallback = (mag > TELEPORT_THRESHOLD) | mag.isna() | (mag < 1e-9)
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df.loc[fallback, "dx"] = df.loc[fallback, "p.e.x"]
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df.loc[fallback, "dy"] = df.loc[fallback, "p.e.y"]
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mag = np.sqrt(df["dx"]**2 + df["dy"]**2).replace(0, 1.0)
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df["dx"] = df["dx"] / mag
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df["dy"] = df["dy"] / mag
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fig, ax = plt.subplots(figsize=(10, 2.2))
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ax.set_xlim(0, 50); ax.set_ylim(0, 10)
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ax.set_aspect("equal"); ax.set_facecolor("white")
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@@ -39,13 +54,13 @@ def update(t):
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# Draw fresh arrows each frame
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arrow_scale = 1.5 # Tune this to change arrow length visually
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if len(w):
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q_white = ax.quiver(w["x"], w["y"], w["p.e.x"], w["p.e.y"],
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q_white = ax.quiver(w["x"], w["y"], w["dx"], w["dy"],
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color="black", angles="xy", scale_units="xy",
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scale=1/arrow_scale, width=0.003,
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headwidth=4, headlength=5, zorder=3)
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quivers.append(q_white)
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if len(b):
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q_black = ax.quiver(b["x"], b["y"], b["p.e.x"], b["p.e.y"],
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q_black = ax.quiver(b["x"], b["y"], b["dx"], b["dy"],
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color="gray", angles="xy", scale_units="xy",
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scale=1/arrow_scale, width=0.003,
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headwidth=4, headlength=5, zorder=3)
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@@ -57,7 +72,7 @@ def update(t):
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anim = FuncAnimation(fig, update, frames=frames, interval=50, blit=False)
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if len(sys.argv) >= 3:
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anim.save(sys.argv[2], writer="ffmpeg", fps=20)
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anim.save(sys.argv[2], writer="ffmpeg", fps=5)
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print(f"Saved {sys.argv[2]}")
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else:
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plt.show()
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