pandoc/test/ipynb/rank.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "5cf8f54d-bf3c-4db2-996d-22662a86ad43",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a0228622-9ff8-4392-9ddd-f70a90f0e106",
"metadata": {},
"outputs": [
{
"data": {
"text/html": "<p><em>you should see this when converting from ipynb to html instead of the image below.</em></p>",
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAAQAAAAECAYAAACp8Z5+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAACdAAAAnQGPcuduAAAASUlEQVR4nGNkYGBgc1HM+/lfkI/hqQ0XAwsDAwPDzSphBi6h/wwlahsgAiJCHxkkBL4zWLA8YGBkYGBgZGBg4GRgYPjDwMDABADgfgxL+wQIRAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 4x4 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(1, 1), dpi=4)\n",
"ax.imshow([[0, 1], [2, 3]]);"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}