[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

docs/conf.py

@@ -254,4 +254,4 @@ def linkcode_resolve(domain, info):
 
     fn = os.path.relpath(fn, start=os.path.dirname(mpl_inter.__file__))
 
-    return f"https://github.com/mpl-extensions/mpl-interactions/blob/main/mpl_interactions/{fn}{linespec}"  # noqa: E501
+    return f"https://github.com/mpl-extensions/mpl-interactions/blob/main/mpl_interactions/{fn}{linespec}"

docs/examples/context.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "9bdc7777-5241-4944-a12b-46f05c894dbe",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Contextmanager for Controls object\n",
@@ -14,7 +14,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4c34e1ff-3ef3-4090-a2bd-7dcb3701e58b",
+   "id": "1",
    "metadata": {
     "tags": []
    },
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28ae4a71-a451-4846-be37-161a42d4a18e",
+   "id": "2",
    "metadata": {},
    "source": [
     "## Using all params\n",
@@ -63,7 +63,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "852d736e-2839-4b22-9bd5-1e7b4e35a1d9",
+   "id": "3",
    "metadata": {
     "tags": []
    },

docs/examples/devlop/devlop-base.ipynb

@@ -9,7 +9,6 @@
    "outputs": [],
    "source": [
     "%matplotlib ipympl\n",
-    "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
@@ -27,8 +26,6 @@
    },
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
     "from mpl_interactions import hyperslicer\n",

docs/examples/devlop/devlop-controller.ipynb

@@ -138,7 +138,6 @@
     "        also allows [None] to grab None of the current params\n",
     "        to imply that we only want tau from the existing set of commands\n",
     "        \"\"\"\n",
-    "\n",
     "        # make sure keys is a list\n",
     "        # bc in gogogo_controls it may get added to another list\n",
     "        if isinstance(key, str):\n",

docs/examples/devlop/devlop-imshow.ipynb

@@ -7,7 +7,6 @@
    "outputs": [],
    "source": [
     "%matplotlib ipympl\n",
-    "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
@@ -22,7 +21,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
     "\n",
     "parameter1 = np.linspace(-5, 5)\n",
     "parameter2 = np.linspace(-5, 5, 25)\n",

docs/examples/devlop/devlop-scatter.ipynb

@@ -137,7 +137,6 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "from IPython.display import display\n",
     "from ipywidgets import widgets\n",
     "\n",
     "x = np.arange(10)\n",

docs/examples/gallery/heatmap_slicer.py

@@ -4,6 +4,7 @@
 =============
 
 """
+
 import matplotlib.pyplot as plt
 import numpy as np
 

docs/examples/gallery/mpl-sliders-same-figure.py

@@ -6,6 +6,7 @@
 Demonstration of how to provide a matplotlib slider to prevent
 the creation of a separate controls figure.
 """
+
 import matplotlib.pyplot as plt
 import numpy as np
 from matplotlib.widgets import Slider

docs/examples/heatmap-slicer.ipynb

@@ -14,7 +14,6 @@
    "outputs": [],
    "source": [
     "%matplotlib widget\n",
-    "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
     "from mpl_interactions import heatmap_slicer"

docs/examples/hist.ipynb

@@ -14,7 +14,6 @@
    "outputs": [],
    "source": [
     "%matplotlib ipympl\n",
-    "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",

docs/examples/image-segmentation.ipynb

@@ -16,7 +16,6 @@
    "outputs": [],
    "source": [
     "%matplotlib ipympl\n",
-    "import matplotlib.cbook as cbook\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
@@ -266,7 +265,6 @@
    },
    "outputs": [],
    "source": [
-    "from ipywidgets import HBox\n",
     "\n",
     "grayscale_image = image.mean(axis=-1)\n",
     "gray = image_segmenter(grayscale_image, nclasses=3, mask=mask, figsize=(5, 5), cmap=\"gray\")\n",

docs/examples/rossler-attractor.ipynb

@@ -20,7 +20,6 @@
    "outputs": [],
    "source": [
     "%matplotlib ipympl\n",
-    "from functools import lru_cache\n",
     "\n",
     "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",

docs/examples/scalar-arguments.ipynb

@@ -96,7 +96,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from mpl_interactions.controller import Controls\n",
     "\n",
     "# create the controls object\n",
     "ctrls = Controls(size=(10, 1000))\n",

docs/examples/scatter-selector.ipynb

@@ -31,7 +31,6 @@
     "%matplotlib ipympl\n",
     "import pickle\n",
     "\n",
-    "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
@@ -58,7 +57,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pickle\n",
     "\n",
     "with open(\"data/stock-metadata.pickle\", \"rb\") as f:\n",
     "    meta = pickle.load(f)\n",

docs/examples/scatter.ipynb

@@ -14,11 +14,10 @@
    "outputs": [],
    "source": [
     "%matplotlib ipympl\n",
-    "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pandas as pd\n",
-    "from matplotlib.colors import TABLEAU_COLORS, XKCD_COLORS, to_rgba_array\n",
+    "from matplotlib.colors import TABLEAU_COLORS\n",
     "\n",
     "import mpl_interactions.ipyplot as iplt"
    ]

docs/examples/text-annotations.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "ddddb250-faff-496c-8f0e-6935196ec14a",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Text and Annotations\n",
@@ -16,7 +16,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ec2f6996-5f39-4009-a94d-e3a3fda108d9",
+   "id": "1",
    "metadata": {
     "tags": []
    },
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "692989d9-07f1-4969-81d8-fc330f0aa5d4",
+   "id": "2",
    "metadata": {},
    "source": [
     "## Working with text strings.\n",
@@ -50,7 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d97390af-872e-42f5-a939-03b734b1cf4f",
+   "id": "3",
    "metadata": {
     "tags": []
    },
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1e152d5d-6c6f-4e87-b5d6-f6755f4bed17",
+   "id": "4",
    "metadata": {},
    "source": [
     "## Arbitrarily placed text\n",
@@ -95,7 +95,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1ccdd8c4-91fa-440a-9a2d-dbea694ee92d",
+   "id": "5",
    "metadata": {
     "tags": []
    },
@@ -125,7 +125,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e2aafbc0-7958-410e-a3b8-ce0a8a75ef30",
+   "id": "6",
    "metadata": {
     "jp-MarkdownHeadingCollapsed": true,
     "tags": []
@@ -137,7 +137,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8eb7da4d-3e48-4b28-85a8-080ff85eee0d",
+   "id": "7",
    "metadata": {
     "tags": []
    },

mpl_interactions/pyplot.py

@@ -6,7 +6,6 @@
 Matplotlib widgets.
 """  # noqa: D205
 
-
 from collections.abc import Callable
 from numbers import Number