repo organisation

plots/galsec_plot.py

@@ -0,0 +1,46 @@
+# coding: utf-8
+"""
+    Galaxy kiloparsec plotter
+"""
+from astropy.table import QTable
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import numpy as np
+
+def plot_radial(table: QTable):
+
+    fig, ax = plt.subplots(subplot_kw=dict(projection="polar"), figsize=(6, 5))
+
+    rbins = np.unique(table["r"])
+    delta_r = rbins[1] - rbins[0]
+
+    for r in rbins:
+
+        mask = table["r"] == r
+        phibins = table["phi"][mask].value
+
+        C = np.log10(table["mass"][mask].value)
+        N = len(C)
+        # C = np.arange(N) + r.value
+        # np.random.shuffle(C)
+        C = C.reshape(1, N)
+        P = np.zeros(shape=(2, N + 1))
+
+        R = np.ones(shape=(2, N + 1)) * (r + delta_r / 2.0)
+        R[0, :] -= delta_r
+        R = R.value
+
+        deltaphi = phibins[1] - phibins[0]
+        P[0, :-1] = phibins - deltaphi / 2
+        P[1, :-1] = phibins - deltaphi / 2
+        P[0, -1] = P[0, 0]
+        P[1, -1] = P[1, 0]
+
+        pc = ax.pcolormesh(P, R, C, cmap="inferno")  # , vmin=6, vmax=9)
+        print(P, R, C)
+    fig.colorbar(pc)
+    
+def plot_hist2d(table, x, y):
+    plt.figure()
+    plt.hist2d(np.log10(table[x].value) - 6, np.log10(table[y].value), 
+               bins=100, cmap="magma", weights=table["mass"], norm=mpl.colors.LogNorm())