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task completed #23

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fe253b1
task completed
Oct 11, 2023
19b37e2
task completed
Oct 12, 2023
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234 changes: 208 additions & 26 deletions your-code/main.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -27,10 +27,43 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]\n"
]
}
],
"source": [
"consec_int = []\n",
"\n",
"for i in range (1, 51):\n",
" consec_int.append(i)\n",
" \n",
"print(consec_int)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]\n"
]
}
],
"source": [
"consec_int = [i for i in range(1, 51)]\n",
"print(consec_int)\n"
]
},
{
"cell_type": "markdown",
Expand All @@ -41,10 +74,42 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 80,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200]\n"
]
}
],
"source": [
"even_numbers = [ i for i in range(2,201,2) ]\n",
"print(even_numbers)"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2, 20, 22, 24, 26, 28, 200]\n"
]
}
],
"source": [
"#UN EJERCICIO EXTRA PARA MI PARA SABER COMO SERIA SI SOLO QUIERO LOS QUE EMPIEZAN CON 2.\n",
"even_numbers = [i for i in range (2,201,2) if str(i).startswith(\"2\")]\n",
"print(even_numbers)"
]
},
{
"cell_type": "markdown",
Expand All @@ -55,7 +120,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -73,10 +138,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 93,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.84062117, 0.48006452, 0.7876326, 0.77109654, 0.44409793, 0.09014516, 0.81835917, 0.87645456, 0.7066597, 0.09610873, 0.41247947, 0.57433389, 0.29960807, 0.42315023, 0.34452557, 0.4751035, 0.17003563, 0.46843998, 0.92796258, 0.69814654, 0.41290051, 0.19561071, 0.16284783, 0.97016248, 0.71725408, 0.87702738, 0.31244595, 0.76615487, 0.20754036, 0.57871812, 0.07214068, 0.40356048, 0.12149553, 0.53222417, 0.9976855, 0.12536346, 0.80930099, 0.50962849, 0.94555126, 0.33364763]\n"
]
}
],
"source": [
"matrix = [j for i in a for j in i]\n",
"print(matrix)"
]
},
{
"cell_type": "markdown",
Expand All @@ -87,10 +163,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 95,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.84062117, 0.7876326, 0.77109654, 0.81835917, 0.87645456, 0.7066597, 0.57433389, 0.92796258, 0.69814654, 0.97016248, 0.71725408, 0.87702738, 0.76615487, 0.57871812, 0.53222417, 0.9976855, 0.80930099, 0.50962849, 0.94555126]\n"
]
}
],
"source": [
"matrix = [j for i in a for j in i if j >= 0.5 ]\n",
"print(matrix)"
]
},
{
"cell_type": "markdown",
Expand All @@ -101,7 +188,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -118,15 +205,32 @@
" [0.8694668 , 0.65669313, 0.10708681]],\n",
"\n",
" [[0.07529684, 0.46470767, 0.47984544],\n",
" [0.65368638, 0.14901286, 0.23760688]]];"
" [0.65368638, 0.14901286, 0.23760688]]];\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
"execution_count": 36,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.55867166, 0.06210792, 0.08147297, 0.82579068, 0.91512478, 0.06833034, 0.05440634, 0.65857693, 0.30296619, 0.06769833, 0.96031863, 0.51293743, 0.09143215, 0.71893382, 0.45850679, 0.58256464, 0.59005654, 0.56266457, 0.71600294, 0.87392666, 0.11434044, 0.8694668, 0.65669313, 0.10708681, 0.07529684, 0.46470767, 0.47984544, 0.65368638, 0.14901286, 0.23760688]\n"
]
}
],
"source": [
"# b, c, d, e (de conjunto más grande hasta el elemento más pequeño de la lista) \n",
"\n",
"all_elements = [e for c in b for d in c for e in d ]\n",
"\n",
"print(all_elements)"
]
},
{
"cell_type": "markdown",
Expand All @@ -140,7 +244,34 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
"source": [
"for d in b\n",
" for c in d"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.08147297, 0.06833034, 0.30296619, 0.45850679, 0.11434044, 0.10708681, 0.47984544, 0.23760688]\n"
]
}
],
"source": [
"# b, c, d ( sin e, que ya no es necesario)\n",
"# para mi: según mi lógica, siempre de der a izq en cada for\n",
"\n",
"all_elements = [ d[-1] for c in b for d in c if d[-1] <= 0.5 ]\n",
"\n",
"print(all_elements)\n"
]
},
{
"cell_type": "markdown",
Expand All @@ -151,10 +282,61 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 105,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"README.md \u001b[1m\u001b[36mdata\u001b[m\u001b[m \u001b[1m\u001b[36myour-code\u001b[m\u001b[m\r\n"
]
}
],
"source": [
"!ls .."
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['sample_file_1.csv', 'sample_file_0.csv', 'sample_file_2.csv', 'sample_file_3.csv', 'sample_file_7.csv', 'sample_file_6.csv', 'sample_file_4.csv', 'sample_file_5.csv', 'sample_file_8.csv', 'sample_file_9.csv']\n"
]
}
],
"source": [
"data_dir_name = \"../data\"\n",
"csv_files = [file for file in os.listdir(data_dir_name) if file.endswith(\".csv\") ]\n",
"print(csv_files)"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(csv_files)"
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -193,7 +375,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -207,7 +389,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
"version": "3.11.5"
}
},
"nbformat": 4,
Expand Down