diff --git a/.gitignore b/.gitignore
index 0c85948..df9736d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,3 +11,4 @@ __pycache__/
 data/
 *.svg
 *.mp4
+tmp/
diff --git a/timeplot.py b/timeplot.py
new file mode 100644
index 0000000..d8e1eac
--- /dev/null
+++ b/timeplot.py
@@ -0,0 +1,94 @@
+import matplotlib
+import matplotlib.animation as animation
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib.cm import ScalarMappable
+from matplotlib.collections import PathCollection
+from matplotlib.colors import Normalize, Colormap
+from matplotlib.text import Text
+from rebound import SimulationArchive, Particle
+
+from extradata import ExtraData, ParticleData
+from utils import filename_from_argv
+
+matplotlib.use('Qt4Agg')
+plt.style.use('dark_background')
+fps = 5
+duration = 10  # s
+total_frames = fps * duration
+logtime = False
+cmap: Colormap = matplotlib.cm.get_cmap('Blues')
+
+
+def update_line(num: int, sa: SimulationArchive, ed: ExtraData, dots: PathCollection, title: Text):
+    # line = num * int((len(data) / total_frames))
+    # print(line, num)
+    if logtime:
+        timestep = total_frames
+
+    else:
+        timestep = ed.meta.current_time / total_frames
+        # timestep = 10e6 / total_frames
+        time = num * timestep
+    print(time)
+    sim = sa.getSimulation(t=time)
+    title.set_text(f"({len(sim.particles)}) {time / 1e6:.2f}M Years")
+
+    p: Particle
+    a = [p.a for p in sim.particles[1:]]
+    e = [p.e for p in sim.particles[1:]]
+
+    water_fractions = []
+    for p in sim.particles[3:]:
+        # try:
+        pd: ParticleData = ed.pdata[p.hash.value]
+        wf = pd.water_mass_fraction
+        # except KeyError:  # gas planet
+        #     print(p.hash.value)
+        #     wf = 0
+        water_fractions.append(wf)
+    # a, e, i, M, M_rat = data[line]
+    # title.set_text(f"({len(a)}) {ages[line]:.2f}K Years")
+    bla = np.array([a, e])
+    dots.set_offsets(bla.T)
+    water_fractions = np.array(water_fractions)
+    color_val = (np.log10(water_fractions) + 5) / 5
+    print(color_val)
+    colors = cmap(color_val)
+    print(colors)
+    dots.set_color(colors)
+    plt.savefig("tmp/" + str(num) + ".pdf",transparent=True)
+    return dots, title
+
+
+fig1 = plt.figure()
+
+l: PathCollection = plt.scatter([1], [1])
+
+fn = filename_from_argv()
+sa = SimulationArchive(str(fn.with_suffix(".bin")))
+ed = ExtraData.load(fn.with_suffix(".extra.json"))
+
+plt.xlim(0, 10)
+plt.xlabel("a")
+title: Text = plt.title("0")
+plt.ylim(-0.1, 1)  # e
+plt.ylabel("e")
+
+# plt.ylim(0, 90)  # i
+# plt.ylabel("i")
+
+# plt.yscale('log')
+# plt.ylim(1e-7,1e-3)
+
+# plt.ylim(-0.05, 0.2)  # i
+# plt.ylabel("water_fraction")
+
+fig1.colorbar(ScalarMappable(norm=Normalize(vmin=-5, vmax=0), cmap=cmap), label="log(water fraction)")
+
+plt.tight_layout()
+
+line_ani = animation.FuncAnimation(fig1, update_line, total_frames, fargs=(sa, ed, l, title),
+                                   interval=1000 / fps, repeat=False)
+line_ani.save(str(fn.with_suffix(".mp4")), dpi=300)
+# plt.show()