📝 hint on color palette picking using C0....C9

Author: enryH

1_1_matplotlib.ipynb

@@ -26,8 +26,8 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "\n",
-    "mpl.rcParams['pdf.fonttype'] = 42\n",
-    "mpl.rcParams['ps.fonttype'] = 42"
+    "mpl.rcParams[\"pdf.fonttype\"] = 42\n",
+    "mpl.rcParams[\"ps.fonttype\"] = 42"
    ]
   },
   {
@@ -105,7 +105,13 @@
     "x = mu + sigma * np.random.randn(10000)\n",
     "fig, ax = plt.subplots(figsize=(5, 2.7), layout=\"constrained\")\n",
     "# the histogram of the data\n",
-    "n, bins, patches = ax.hist(x, 50, density=True, facecolor=\"C0\", alpha=0.75)\n",
+    "n, bins, patches = ax.hist(\n",
+    "    x,\n",
+    "    50,\n",
+    "    density=True,\n",
+    "    facecolor=\"C0\",  # first color in color palette\n",
+    "    alpha=0.75,\n",
+    ")\n",
     "\n",
     "ax.set_xlabel(\"Length [cm]\")\n",
     "ax.set_ylabel(\"Probability\")\n",
@@ -141,7 +147,7 @@
     "Y2 = 1 + np.cos(1 + X / 0.75) / 2\n",
     "Y3 = np.random.uniform(Y1, Y2, len(X))\n",
     "\n",
-    "data = {'X': X, 'red_line': Y1, 'blue_line': Y2, 'circles': Y3}\n",
+    "data = {\"X\": X, \"red_line\": Y1, \"blue_line\": Y2, \"circles\": Y3}\n",
     "data = pd.DataFrame(data)\n",
     "data.head()"
    ]
@@ -175,19 +181,25 @@
     "ax.set_xlim(0, 4)\n",
     "ax.set_ylim(0, 4)\n",
     "\n",
-    "ax.tick_params(which='major', width=1.0, length=10, labelsize=14)\n",
-    "ax.tick_params(which='minor', width=1.0, length=5, labelsize=10,\n",
-    "               labelcolor='0.25')\n",
+    "ax.tick_params(which=\"major\", width=1.0, length=10, labelsize=14)\n",
+    "ax.tick_params(which=\"minor\", width=1.0, length=5, labelsize=10, labelcolor=\"0.25\")\n",
     "\n",
-    "ax.grid(linestyle=\"--\", linewidth=0.5, color='.25', zorder=-10)\n",
+    "ax.grid(linestyle=\"--\", linewidth=0.5, color=\".25\", zorder=-10)\n",
     "\n",
-    "ax.plot(X, Y1, c='C0', lw=2.5, label=\"Blue signal\", zorder=10)\n",
-    "ax.plot(X, Y2, c='C1', lw=2.5, label=\"Orange signal\")\n",
-    "ax.plot(X[::3], Y3[::3], linewidth=0, markersize=9,\n",
-    "        marker='s', markerfacecolor='none', markeredgecolor='C4',\n",
-    "        markeredgewidth=2.5)\n",
+    "ax.plot(X, Y1, c=\"C0\", lw=2.5, label=\"Blue signal\", zorder=10)\n",
+    "ax.plot(X, Y2, c=\"C1\", lw=2.5, label=\"Orange signal\")\n",
+    "ax.plot(\n",
+    "    X[::3],\n",
+    "    Y3[::3],\n",
+    "    linewidth=0,\n",
+    "    markersize=9,\n",
+    "    marker=\"s\",\n",
+    "    markerfacecolor=\"none\",\n",
+    "    markeredgecolor=\"C4\",  # color 5 in color palette\n",
+    "    markeredgewidth=2.5,\n",
+    ")\n",
     "\n",
-    "ax.set_title(\"Anatomy of a figure\", fontsize=20, verticalalignment='bottom')\n",
+    "ax.set_title(\"Anatomy of a figure\", fontsize=20, verticalalignment=\"bottom\")\n",
     "ax.set_xlabel(\"x Axis label\", fontsize=14)\n",
     "ax.set_ylabel(\"y Axis label\", fontsize=14)\n",
     "ax.legend(loc=\"upper right\", fontsize=14)"
@@ -332,7 +344,7 @@
    "outputs": [],
    "source": [
     "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(7.4, 4))\n",
-    "axes = axes.flatten() # in case of more than one dimension (safety snippet for you)\n",
+    "axes = axes.flatten()  # in case of more than one dimension (safety snippet for you)\n",
     "ax = axes[0]\n",
     "n, bins, patches = ax.hist(x, bins=30, alpha=0.7, color=\"C0\")\n",
     "ax = axes[1]\n",

1_1_matplotlib.py

@@ -13,8 +13,8 @@
 import numpy as np
 import pandas as pd
 
-mpl.rcParams['pdf.fonttype'] = 42
-mpl.rcParams['ps.fonttype'] = 42
+mpl.rcParams["pdf.fonttype"] = 42
+mpl.rcParams["ps.fonttype"] = 42
 
 # %% [markdown]
 # ## Basic Line Plot
@@ -49,7 +49,13 @@
 x = mu + sigma * np.random.randn(10000)
 fig, ax = plt.subplots(figsize=(5, 2.7), layout="constrained")
 # the histogram of the data
-n, bins, patches = ax.hist(x, 50, density=True, facecolor="C0", alpha=0.75)
+n, bins, patches = ax.hist(
+    x,
+    50,
+    density=True,
+    facecolor="C0",  # first color in color palette
+    alpha=0.75,
+)
 
 ax.set_xlabel("Length [cm]")
 ax.set_ylabel("Probability")
@@ -73,7 +79,7 @@
 Y2 = 1 + np.cos(1 + X / 0.75) / 2
 Y3 = np.random.uniform(Y1, Y2, len(X))
 
-data = {'X': X, 'red_line': Y1, 'blue_line': Y2, 'circles': Y3}
+data = {"X": X, "red_line": Y1, "blue_line": Y2, "circles": Y3}
 data = pd.DataFrame(data)
 data.head()
 
@@ -95,19 +101,25 @@
 ax.set_xlim(0, 4)
 ax.set_ylim(0, 4)
 
-ax.tick_params(which='major', width=1.0, length=10, labelsize=14)
-ax.tick_params(which='minor', width=1.0, length=5, labelsize=10,
-               labelcolor='0.25')
-
-ax.grid(linestyle="--", linewidth=0.5, color='.25', zorder=-10)
-
-ax.plot(X, Y1, c='C0', lw=2.5, label="Blue signal", zorder=10)
-ax.plot(X, Y2, c='C1', lw=2.5, label="Orange signal")
-ax.plot(X[::3], Y3[::3], linewidth=0, markersize=9,
-        marker='s', markerfacecolor='none', markeredgecolor='C4',
-        markeredgewidth=2.5)
-
-ax.set_title("Anatomy of a figure", fontsize=20, verticalalignment='bottom')
+ax.tick_params(which="major", width=1.0, length=10, labelsize=14)
+ax.tick_params(which="minor", width=1.0, length=5, labelsize=10, labelcolor="0.25")
+
+ax.grid(linestyle="--", linewidth=0.5, color=".25", zorder=-10)
+
+ax.plot(X, Y1, c="C0", lw=2.5, label="Blue signal", zorder=10)
+ax.plot(X, Y2, c="C1", lw=2.5, label="Orange signal")
+ax.plot(
+    X[::3],
+    Y3[::3],
+    linewidth=0,
+    markersize=9,
+    marker="s",
+    markerfacecolor="none",
+    markeredgecolor="C4",  # color 5 in color palette
+    markeredgewidth=2.5,
+)
+
+ax.set_title("Anatomy of a figure", fontsize=20, verticalalignment="bottom")
 ax.set_xlabel("x Axis label", fontsize=14)
 ax.set_ylabel("y Axis label", fontsize=14)
 ax.legend(loc="upper right", fontsize=14)
@@ -180,7 +192,7 @@
 
 # %%
 fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(7.4, 4))
-axes = axes.flatten() # in case of more than one dimension (safety snippet for you)
+axes = axes.flatten()  # in case of more than one dimension (safety snippet for you)
 ax = axes[0]
 n, bins, patches = ax.hist(x, bins=30, alpha=0.7, color="C0")
 ax = axes[1]