CHT: change xcorr to pcolormesh

Author: jklymak

cheatsheets.tex

@@ -382,6 +382,15 @@
          \optional{extent},
          \optional{origin} }
        {}
+  \plot{basic-pcolormesh.pdf}{\textbf{pcolormesh[f]}([X],[Y],Z,,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pcolormesh.html}
+       { \optional{X},
+         \optional{Y},
+         \mandatory{Z},
+         \optional{vmin},
+         \optional{vmax},
+         \optional{cmap}}
+       {}
   \plot{basic-quiver.pdf}{\textbf{quiver}([X],[Y],U,V,…)}
      {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.quiver.html}
      { \optional{X},
@@ -488,13 +497,6 @@
       \optional{gridsize},
        \optional{bins} }
      {}
-  \plot{advanced-xcorr.pdf}{\textbf{xcorr}(X,Y,…)}
-     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.xcorr.html}
-     {\mandatory{X},
-      \mandatory{Y},
-      \optional{normed},
-      \optional{detrend} }
-     {}
   \end{myboxed}
 
 

figures/legend.pdf

@@ -83,16 +83,17 @@
 
 # Event plot
 # -----------------------------------------------------------------------------
-np.random.seed(1)
-X = [2,4,6]
-D = np.random.gamma(4, size=(3, 50))
-ax.eventplot(D, colors="C1", orientation="vertical", lineoffsets=X, linewidth=0.25)
-ax.set_xlim(0, 8), ax.set_xticks(np.arange(1,8))
-ax.set_ylim(0, 8), ax.set_yticks(np.arange(1,8))
-ax.set_axisbelow(True)
-ax.grid(linewidth=0.125)
-plt.savefig("../figures/advanced-event.pdf")
-ax.clear()
+if False:
+    np.random.seed(1)
+    X = [2,4,6]
+    D = np.random.gamma(4, size=(3, 50))
+    ax.eventplot(D, colors="C1", orientation="vertical", lineoffsets=X, linewidth=0.25)
+    ax.set_xlim(0, 8), ax.set_xticks(np.arange(1,8))
+    ax.set_ylim(0, 8), ax.set_yticks(np.arange(1,8))
+    ax.set_axisbelow(True)
+    ax.grid(linewidth=0.125)
+    plt.savefig("../figures/advanced-event.pdf")
+    ax.clear()
 
 # Errorbar plot
 # -----------------------------------------------------------------------------

scripts/advanced-plots.py

@@ -79,13 +79,22 @@
 plt.savefig("../figures/basic-imshow.pdf")
 ax.clear()
 
-
-# Basic contour plot
+# Basic pcolormesh plot
 # -----------------------------------------------------------------------------
 np.random.seed(1)
 X, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))
 Z = (1 - X/2. + X**5 + Y**3)*np.exp(-X**2-Y**2)
 Z = Z - Z.min()
+plt.pcolormesh(X, Y, Z, cmap='Oranges', shading='auto')
+ax.set_xlim(-3, 3), ax.set_xticks(np.arange(-3, 4))
+ax.set_ylim(-3, 3), ax.set_yticks(np.arange(-3,4))
+# ax.set_axisbelow(True)
+# ax.grid(linewidth=0.125, color="0.75")
+plt.savefig("../figures/basic-pcolormesh.pdf")
+ax.clear()
+
+# Basic contour plot
+# -----------------------------------------------------------------------------
 colors = np.zeros((5,4))
 colors[:] = mpl.colors.to_rgba("C1")
 colors[:,3] = np.linspace(0.15, 0.85, len(colors))