diff --git a/examples/pressing_intensity.ipynb b/examples/pressing_intensity.ipynb
index afd15ca..949ec47 100644
--- a/examples/pressing_intensity.ipynb
+++ b/examples/pressing_intensity.ipynb
@@ -8,74 +8,13 @@
"\n",
"Within this notebook we demonstrate how to compute [ππ«ππ¬π¬π’π§π ππ§πππ§π¬π’ππ²](https://unravelsports.github.io/2024/12/12/pressing-intensity.html) ([ArXiv PDF](https://arxiv.org/abs/2501.04712)) for a single sequence of play from freely available positional tracking data of 1. FC KΓΆln vs. FC Bayern MΓΌnchen (May 27th 2023), using the new `unravel.soccer.PressingIntensity`, [Kloppy](https://kloppy.pysport.org/) and [Polars](https://pola.rs/).\n",
"\n",
- "We will create an `.mp4` video (as shown below, on the left) of this 35-second segment of play using [mplsoccer](https://mplsoccer.readthedocs.io/en/latest/), [matplotlib](https://matplotlib.org/) and [seaborn](https://seaborn.pydata.org/). \n",
+ "We will create an `.mp4` video (as shown [here](assets/gif/preview.gif), on the left) of this 35-second segment of play using [mplsoccer](https://mplsoccer.readthedocs.io/en/latest/), [matplotlib](https://matplotlib.org/) and [seaborn](https://seaborn.pydata.org/). \n",
"\n",
"ποΈ You can also use this to compute **Pressing Intensity** for a whole game in under a minute!\n",
"\n",
"ποΈ The match video blew is for illustrative purposes only, you'll need to source and sync your own match footage"
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- ""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- " \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " \n",
- " \n",
- "
\n",
- " \n",
- " \n",
- " "
- ],
- "text/plain": [
- ""
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from unravel.utils import display\n",
- "\n",
- "from os.path import join\n",
- "\n",
- "display.show(\n",
- " video_path=[\n",
- " join(\"assets\", \"video\", \"KOL v BAY (Pressing Intensity).mp4\"),\n",
- " join(\"assets\", \"video\", \"KOL v BAY.mp4\"),\n",
- " ]\n",
- ")"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
@@ -89,18 +28,29 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": null,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.0\u001b[0m\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
+ "Note: you may need to restart the kernel to use updated packages.\n"
+ ]
+ }
+ ],
"source": [
- "# %pip install unravelsports --quiet"
+ "%pip install unravelsports --quiet"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "You might need to `pip install ffmpeg mplsoccer matplotlib seaborn` for this to work."
+ "You might also need to `pip install ffmpeg mplsoccer matplotlib seaborn` for this to work."
]
},
{
@@ -143,7 +93,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -175,7 +125,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -223,7 +173,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -276,7 +226,7 @@
"ββββββββββββββ΄ββββββββββββ΄βββββββββββ΄βββββββββββββ΄βββββββββββββ΄βββββββββββββ΄ββββββββββββ΄ββββββββββββ"
]
},
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -315,12 +265,10 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
- "from unravel.utils import ColorMaps\n",
- "\n",
"import seaborn as sns\n",
"\n",
"import matplotlib.pyplot as plt\n",
@@ -474,7 +422,7 @@
" df * 100,\n",
" xticklabels=True,\n",
" yticklabels=True,\n",
- " cmap=ColorMaps.YELLOW_RED,\n",
+ " cmap=\"hot_r\",\n",
" ax=ax,\n",
" vmin=0,\n",
" vmax=100,\n",
@@ -490,7 +438,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -527,20 +475,9 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"FILE_PATH = \"FC Koln v Bayern.mp4\"\n",
"\n",
diff --git a/unravel/utils/display/colors.py b/unravel/utils/display/colors.py
index 601fd3c..cc1cdb5 100644
--- a/unravel/utils/display/colors.py
+++ b/unravel/utils/display/colors.py
@@ -63,33 +63,3 @@ def __post_init__(self):
class GameColors:
home_team: TeamColors
away_team: TeamColors
-
-
-YlRd = ["#F7FBFF", "#FFEDA0", "#FEB24C", "#FD8D3C", "#E31A1C", "#BD0026", "#800026"]
-
-
-@dataclass
-class ColorMaps:
- _YlRd = ["#FFFF00", "#FF0000"] # Replace with actual YlRd values
-
- @property
- def YELLOW_RED(self):
- try:
- from matplotlib.colors import LinearSegmentedColormap
-
- return LinearSegmentedColormap.from_list("", self._YlRd)
- except ImportError:
- raise ImportError(
- "Seems like you don't have matplotlib installed. Please install it using: pip install matplotlib"
- )
-
- @property
- def YELLOW_RED_R(self):
- try:
- from matplotlib.colors import LinearSegmentedColormap
-
- return LinearSegmentedColormap.from_list("", list(reversed(self._YlRd)))
- except ImportError:
- raise ImportError(
- "Seems like you don't have matplotlib installed. Please install it using: pip install matplotlib"
- )