diff --git a/examples/notebooks/heatmap.ipynb b/examples/notebooks/heatmap.ipynb
index d1c512661..82583b1df 100644
--- a/examples/notebooks/heatmap.ipynb
+++ b/examples/notebooks/heatmap.ipynb
@@ -20,9 +20,7 @@
"outputs": [],
"source": [
"import numpy as np\n",
- "import fastplotlib as fpl\n",
- "\n",
- "from tqdm import tqdm"
+ "import fastplotlib as fpl"
]
},
{
@@ -30,7 +28,7 @@
"id": "908f93f8-68c3-4a36-8f40-e0aab560955d",
"metadata": {},
"source": [
- "## Generate some random neural-like data"
+ "## Generate some sine and cosine data"
]
},
{
@@ -42,54 +40,31 @@
},
"outputs": [],
"source": [
- "def generate_traces(n_components, n_frames):\n",
- " n_frames = n_frames + 50\n",
- " n_components = n_components\n",
- " \n",
- " out = np.zeros((n_components, n_frames), dtype=np.float16)\n",
- " \n",
- " xs = np.arange(0, 50, 1)\n",
- " # exponential decay\n",
- " _lambda = 0.1\n",
- " ys = np.e**-(_lambda * xs)\n",
- " \n",
- " for component_num in tqdm(range(n_components)):\n",
- " time_step = 0\n",
- " while time_step < n_frames - 50:\n",
- " firing_prop = np.random.randint(0, 20)\n",
- " if np.random.poisson() > firing_prop:\n",
- " out[component_num, time_step:min(time_step + 50, n_frames - 1)] = ys.astype(np.float16)\n",
- " time_step += 100\n",
- " else:\n",
- " time_step += 2\n",
- " \n",
- " return out[:, :n_frames - 50]"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "fc1070d9-f9e9-405f-939c-a130cc5c456a",
- "metadata": {},
- "source": [
- "Generate an array that is `10,000 x 30,000`, this may take a few minutes"
+ "xs = np.linspace(0, 50, 10_000)\n",
+ "\n",
+ "sine_data = np.sin(xs)\n",
+ "\n",
+ "cosine_data = np.cos(xs)\n",
+ "\n",
+ "data = np.vstack([(sine_data, cosine_data) for i in range(5)])"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "8a1b83f6-c0d8-4237-abd6-b483e7d978ee",
+ "id": "02b072eb-2909-40c8-8739-950f07efbbc2",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
- "temporal = generate_traces(10_000, 30_000)"
+ "data.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "f89bd740-7397-43e7-9e66-d6cfb14de884",
+ "id": "84deb31b-5464-4cce-a938-694371011021",
"metadata": {
"tags": []
},
@@ -97,7 +72,7 @@
"source": [
"plot = fpl.Plot()\n",
"\n",
- "plot.add_heatmap(temporal, cmap=\"viridis\")\n",
+ "plot.add_heatmap(data, cmap=\"viridis\")\n",
"\n",
"plot.show(maintain_aspect=False)"
]
@@ -105,7 +80,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "84deb31b-5464-4cce-a938-694371011021",
+ "id": "df3f8994-0f5b-4578-a36d-4cd9bf0733c0",
"metadata": {},
"outputs": [],
"source": []
diff --git a/fastplotlib/graphics/image.py b/fastplotlib/graphics/image.py
index 2ddf5b4cf..cb44e2ff2 100644
--- a/fastplotlib/graphics/image.py
+++ b/fastplotlib/graphics/image.py
@@ -500,8 +500,8 @@ def __init__(
img.row_chunk_index = chunk[0]
img.col_chunk_index = chunk[1]
- img.position_x = x_pos
- img.position_y = y_pos
+ img.world.x = x_pos
+ img.world.y = y_pos
self.world_object.add(img)
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