timhoffm
diff --git a/‎00_Getting_started.ipynb‎
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Lines changed: 71 additions & 129 deletions
diff --git a/‎01_Interfaces.ipynb‎
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diff --git a/‎02_Figure.ipynb‎
Lines changed: 3 additions & 6 deletions b/‎02_Figure.ipynb‎
Lines changed: 3 additions & 6 deletions
diff --git a/‎03_adding_content.ipynb‎
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diff --git a/‎04_Configuration and Styles.ipynb‎
Lines changed: 563 additions & 23 deletions b/‎04_Configuration and Styles.ipynb‎
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diff --git a/‎05_Libraries_using_Matplotlib.ipynb‎
Lines changed: 1 addition & 1 deletion b/‎05_Libraries_using_Matplotlib.ipynb‎
Lines changed: 1 addition & 1 deletion
@@ -1,12 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The usual imports:"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -202,20 +195,6 @@
     "- `pyplot` can be a convenience for simple quick plots.  \n",
     "  But understand how it works and relates to the underlying objects. - Otherwise it will be confusing."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -234,7 +213,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
 
@@ -4,9 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Figure and Subplots\n",
-    "\n",
-    "The usual imports:"
+    "# Figure and Subplots"
    ]
   },
   {
@@ -60,8 +58,7 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "fig.set_facecolor('blue')\n",
-    "ax.set_facecolor('seagreen')\n",
-    "#ax.set_alpha(1)"
+    "ax.set_facecolor('seagreen')"
    ]
   },
   {
@@ -520,7 +517,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
 
@@ -301,7 +301,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Categorical bar plots"
+    "## Bar plots"
    ]
   },
   {
@@ -310,20 +310,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# recommended: pass labels as x\n",
-    "labels = ['a', 'b', 'c', 'd']\n",
-    "plt.bar(labels, x**2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Example: Multiple bars\n",
-    "\n",
-    "It's a pain, because you have to position and size them manually.\n",
-    "\n",
-    "We'll learn better ways later using pandas later."
+    "x = [0, 1, 2, 3]\n",
+    "y = [1, 4, 9, 16]\n",
+    "plt.bar(x, y)"
    ]
   },
   {
@@ -332,8 +321,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "plt.bar(x-0.2, x**2, width=0.4)\n",
-    "plt.bar(x+0.2, (0.5-x)**2, width=0.4)"
+    "labels = ['a', 'b', 'c', 'd']\n",
+    "plt.bar(labels, y)\n",
+    "#plt.plot(x, y, 'ro')"
    ]
   },
   {
@@ -342,12 +332,27 @@
    "source": [
     "## Other plotting functions\n",
     "\n",
+    "The concept is always the same:\n",
+    "\n",
+    "- an Axes method creates the data Artists and adds them to the Axes\n",
+    "- the first few arguments describe the data\n",
+    "- there are many optional keworda arguments to customize style and behavior\n",
+    "\n",
+    "\n",
     "See\n",
     "\n",
     "- https://matplotlib.org/stable/plot_types/index.html\n",
-    "- https://matplotlib.org/stable/api/axes_api.html"
+    "- https://matplotlib.org/stable/api/axes_api.html\n",
+    "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -372,7 +377,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
 
@@ -407,7 +407,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
Original file line number	Diff line number	Diff line change
`@@ -4,9 +4,7 @@`
`4`	`4`	`"cell_type": "markdown",`
`5`	`5`	`"metadata": {},`
`6`	`6`	`"source": [`
`7`		`- "# Figure and Subplots\n",`
`8`		`- "\n",`
`9`		`- "The usual imports:"`
	`7`	`+ "# Figure and Subplots"`
`10`	`8`	`]`
`11`	`9`	`},`
`12`	`10`	`{`
`@@ -60,8 +58,7 @@`
`60`	`58`	`"source": [`
`61`	`59`	`"fig, ax = plt.subplots()\n",`
`62`	`60`	`"fig.set_facecolor('blue')\n",`
`63`		`- "ax.set_facecolor('seagreen')\n",`
`64`		`- "#ax.set_alpha(1)"`
	`61`	`+ "ax.set_facecolor('seagreen')"`
`65`	`62`	`]`
`66`	`63`	`},`
`67`	`64`	`{`
`@@ -520,7 +517,7 @@`
`520`	`517`	`"name": "python",`
`521`	`518`	`"nbconvert_exporter": "python",`
`522`	`519`	`"pygments_lexer": "ipython3",`
`523`		`- "version": "3.10.4"`
	`520`	`+ "version": "3.11.4"`
`524`	`521`	`}`
`525`	`522`	`},`
`526`	`523`	`"nbformat": 4,`
Original file line number	Diff line number	Diff line change
`@@ -407,7 +407,7 @@`
`407`	`407`	`"name": "python",`
`408`	`408`	`"nbconvert_exporter": "python",`
`409`	`409`	`"pygments_lexer": "ipython3",`
`410`		`- "version": "3.10.4"`
	`410`	`+ "version": "3.11.4"`
`411`	`411`	`}`
`412`	`412`	`},`
`413`	`413`	`"nbformat": 4,`