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lda committed 2025-02-05 01:18:06 +07:00
1 parent a4fac93e3b
commit f8a01d8a61
4 files changed
+66 -7

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+61 -5
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@@ -15,13 +15,14 @@
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import matplotlib.pyplot as plt"
"# import math\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 2,
"metadata": {},
"outputs": [
{
@@ -80,7 +81,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -89,7 +90,7 @@
"38.20507559806905"
]
},
"execution_count": 2,
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -100,6 +101,61 @@
"bungee_jumper(t=5, mass=68.1, drag_coeff=0.25)\n",
"# dir()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0xffff4121b680>]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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truncated
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib.ticker import MultipleLocator\n",
"\n",
"x = list(range(0, 21, 2))\n",
"\n",
"y = list(bungee_jumper(t=i, mass=68.1, drag_coeff=0.25) for i in x)\n",
"g = plt.gca()\n",
"\n",
"\n",
"plt.axis((0, 20, 0, 60))\n",
"g.xaxis.set_major_locator(MultipleLocator(base=2)) # stack overflow\n",
"\n",
"g.grid(True)\n",
"g.set_xlabel(\"values of $t$\")\n",
"g.set_ylabel(\"values of $v$\")\n",
"g.set_title(\"plot of $v$ versus $t$\", fontweight=\"bold\")\n",
"g.tick_params(axis=\"both\", direction=\"in\", top=True, right=True)\n",
"g.set_facecolor(\"#d4effb\")\n",
"plt.gcf().set_facecolor(\"#d4effb\")\n",
"plt.plot(x, y) # looks ugly"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"actual brainrot\n"
]
}
],
"metadata": {
+1
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@@ -0,0 +1 @@
# no bro why tf does func return evaluation AND jacobian matrix WHAT EVEN IS JACOBIAN MATRIX
+3 -1
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@@ -2,4 +2,6 @@
we getting harder
use `from math import factorial`
use `from math import factorial`
also pyplot settings theyre crazy they insane they some bullshit