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Carreau/Ben.ipynb

Created October 30, 2023 10:57
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Ben.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "8c0e8e6d-b21e-45ab-bfb0-4554d48fdb60",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "7e2ef08d-c617-4b92-88c9-13ead475659c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/bussonniermatthias/dev/numpy/data-numpy-32ed43dfae87a2d65bc67004df279a7d3465ae34.json\n",
"/Users/bussonniermatthias/dev/numpy/data-numpy-cdfbdf428d9df9c7119cecae323512a4cd3f57b7.json\n"
]
}
],
"source": [
"ls /Users/bussonniermatthias/dev/numpy/*.json"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b3795faa-d58f-4377-93c6-a48071dd84f7",
"metadata": {},
"outputs": [],
"source": [
"with open('/Users/bussonniermatthias/dev/numpy/data-numpy-cdfbdf428d9df9c7119cecae323512a4cd3f57b7.json','r') as main:\n",
" dfm = pd.DataFrame(json.loads(main.read()))\n",
"\n",
"with open('/Users/bussonniermatthias/dev/numpy/data-numpy-32ed43dfae87a2d65bc67004df279a7d3465ae34.json','r') as head:\n",
" dfh = pd.DataFrame(json.loads(head.read()))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "5409c4b8-8bc2-4438-ae5d-6d597d0da3f6",
"metadata": {},
"outputs": [],
"source": [
"df = pd.concat([dfm, dfh])\n",
"f1 = df.loc[df.git_rev == '32ed43dfae87a2d65bc67004df279a7d3465ae34'] # HEAD\n",
"f2 = df.loc[df.git_rev == 'cdfbdf428d9df9c7119cecae323512a4cd3f57b7']\n",
"\n",
"f1.loc[f1.index, 'git_rev'] = 'HEAD'\n",
"f2.loc[f2.index, 'git_rev'] = 'MAIN'\n",
"\n",
"df = pd.concat([f1,f2])\n",
"\n",
"set(df.git_rev)\n",
"df['timing_ms'] = df['timing'] * 1000\n",
"df = df.drop(columns=['timing'])"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "d03d11ee-7e35-4b2d-8770-d002d6175ef4",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<style scoped>\n",
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" vertical-align: middle;\n",
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"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
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"\n",
" .dataframe thead th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>key</th>\n",
" <th>eq_nan</th>\n",
" <th>git_rev</th>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
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" <th>0</th>\n",
" <td>int_array-int_array</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>int_array-int_array</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>int_array-int_array</td>\n",
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" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>795</th>\n",
" <td>float_array-float_array_2</td>\n",
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" <td>2.904834</td>\n",
" </tr>\n",
" <tr>\n",
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" <tr>\n",
" <th>797</th>\n",
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" <tr>\n",
" <th>798</th>\n",
" <td>float_array-float_array_2</td>\n",
" <td>False</td>\n",
" <td>MAIN</td>\n",
" <td>2.907750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>799</th>\n",
" <td>float_array-float_array_2</td>\n",
" <td>False</td>\n",
" <td>MAIN</td>\n",
" <td>2.900042</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1600 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" key eq_nan git_rev timing_ms\n",
"0 int_array-int_array True HEAD 0.012708\n",
"1 int_array-int_array True HEAD 0.005750\n",
"2 int_array-int_array True HEAD 0.005458\n",
"3 int_array-int_array True HEAD 0.005416\n",
"4 int_array-int_array True HEAD 0.005125\n",
".. ... ... ... ...\n",
"795 float_array-float_array_2 False MAIN 2.904834\n",
"796 float_array-float_array_2 False MAIN 2.908333\n",
"797 float_array-float_array_2 False MAIN 2.899000\n",
"798 float_array-float_array_2 False MAIN 2.907750\n",
"799 float_array-float_array_2 False MAIN 2.900042\n",
"\n",
"[1600 rows x 4 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 800x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, (ax1,ax2) = plt.subplots(2,1)\n",
"ax1.set_yscale('log')\n",
"ax2.set_yscale('log')\n",
"fig.set_figwidth(8)\n",
"fig.set_figheight(8)\n",
"sns.violinplot(df[df.eq_nan==True].drop(columns=['eq_nan']), x='key', y='timing_ms',hue=\"git_rev\", ax=ax1)\n",
"ax1.set_title('eq_nan=True')\n",
"sns.violinplot(df[df.eq_nan==False].drop(columns=['eq_nan']), x='key', y='timing_ms',hue=\"git_rev\", ax=ax2)\n",
"ax2.set_title('eq_nan=False')\n",
"\n",
"ax1.tick_params(axis='x', rotation=10)\n",
"ax2.tick_params(axis='x', rotation=10)\n",
"\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a572f407-b8d0-4429-881d-951e54c14166",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c6617784-585d-4659-882d-8cc967dafc62",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'sdf' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[48;5;39msdf\u001b[49m\u001b[38;5;241m.\u001b[39mstack()\n",
"\u001b[0;31mNameError\u001b[0m: name 'sdf' is not defined"
]
}
],
"source": [
"sdf.stack()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0bd9c820-ef6e-4aa0-8a3e-4181d34fab23",
"metadata": {},
"outputs": [],
"source": [
"df0 = pd.DataFrame()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c488bcb1-335c-4119-876b-75496ead5198",
"metadata": {},
"outputs": [],
"source": [
"sns.load_dataset(\"titanic\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dbde0aec-507a-4d66-bc57-46b7a387b02d",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.11.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Raw
data-numpy-32ed43dfae87a2d65bc67004df279a7d3465ae34.json
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Raw
data-numpy-cdfbdf428d9df9c7119cecae323512a4cd3f57b7.json
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"cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.002963042352348566, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.002922666259109974, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.002908542286604643, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0029194168746471405, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0029102088883519173, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0029189996421337128, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.002901333849877119, "eq_nan": false, "git_rev": 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"cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0029083327390253544, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0028989999555051327, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0029077501967549324, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}, {"key": "float_array-float_array_2", "timing": 0.0029000421054661274, "eq_nan": false, "git_rev": "cdfbdf428d9df9c7119cecae323512a4cd3f57b7"}]
Raw
perf.ipy
import numpy as np
import numpy
import seaborn as sns
import pandas as pd
import json
import matplotlib.pyplot as plt
base = np.random.randint(1, 100, (1000, 1000), dtype='int64')
a = base.copy()
a1 = base.copy()
b = base.copy().astype('float')
b[b == 50] = np.nan
b1 = b.copy()
data = {'int_array':a, 'float_array':b, 'int_array_2':a1, 'float_array_2': b1}
timings = {}
for (x, y) in [('int_array','int_array'),('int_array','int_array_2'),('float_array','float_array'),('float_array','float_array_2')]:
ax = data[x]
bx = data[y]
for en in [True, False]:
key = (x,y,en)
res = np.array_equal(ax, bx, equal_nan=en)
print(f"np.array_equal({x}, {y}, equal_nan={en}) == {res}")
timing = %timeit -n10 -r100 -o np.array_equal(ax, bx, equal_nan=en)
timings[key] = timing
data2 = []
for (x,y,en),v in timings.items():
for t in v.all_runs:
data2.append({'key':f"{x}-{y}", 'timing':t, 'eq_nan':en, 'git_rev':numpy.version.git_revision})
rev = numpy.version.git_revision
with open(f'data-numpy-{rev}.json', 'w') as f:
f.write(json.dumps(data2))
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