192 lines
3.5 KiB
Plaintext
192 lines
3.5 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import sys\n",
|
|
"from pathlib import Path\n",
|
|
"import numpy as np\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import laspy\n",
|
|
"\n",
|
|
"triskele_path = Path('../triskele/python/')\n",
|
|
"sys.path.append(str(triskele_path.resolve()))\n",
|
|
"import triskele\n",
|
|
"\n",
|
|
"figsize = (16, 3)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Read and Write"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"R = np.random.random((1000,4000))\n",
|
|
"\n",
|
|
"plt.figure(figsize=figsize)\n",
|
|
"plt.imshow(R)\n",
|
|
"plt.colorbar()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"R.dtype"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## F64 "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"triskele.write('../Res/rw_test.tiff', R)\n",
|
|
"R2 = triskele.read('../Res/rw_test.tiff')\n",
|
|
"R2.dtype"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure(figsize=figsize)\n",
|
|
"plt.imshow(R2)\n",
|
|
"plt.colorbar()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## F32"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure(figsize=figsize)\n",
|
|
"plt.imshow(R.astype(np.float32))\n",
|
|
"plt.colorbar()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"triskele.write('../Res/rw_test.tiff', R.astype(np.float32))\n",
|
|
"R2 = triskele.read('../Res/rw_test.tiff')\n",
|
|
"R2.dtype"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure(figsize=figsize)\n",
|
|
"plt.imshow(R2)\n",
|
|
"plt.colorbar()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Int32"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"R = np.random.random_integers(0, 10000, (1000,4000)).astype(np.int32)\n",
|
|
"\n",
|
|
"plt.figure(figsize=figsize)\n",
|
|
"plt.imshow(R)\n",
|
|
"plt.colorbar()\n",
|
|
"plt.show()\n",
|
|
"\n",
|
|
"R.dtype"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"triskele.write('../Res/rw_test.tiff', R)\n",
|
|
"R2 = triskele.read('../Res/rw_test.tiff')\n",
|
|
"R2.dtype"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure(figsize=figsize)\n",
|
|
"plt.imshow(R2)\n",
|
|
"plt.colorbar()\n",
|
|
"plt.show()"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"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"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|