173 lines
13 KiB
Text
173 lines
13 KiB
Text
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"\n",
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"from matplotlib import pyplot as plt\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[333.33333333333337,\n",
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" 224.47979543556363,\n",
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" 153.3852391583965,\n",
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" 106.95187530214611,\n",
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" 76.625259708662398,\n",
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" 56.818303309764161,\n",
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" 43.881959635722509,\n",
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" 23.881959635722509,\n",
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"data": {
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7ff60ef169e8>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"x = np.linspace(1, 20)\n",
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"y = []\n",
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"\n",
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"w = 500\n",
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"for _x in x:\n",
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" d = 500/3**_x\n",
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" d = 10 if d < 10 else d\n",
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" \n",
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" if w > d:\n",
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" w -= d\n",
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" y.append(w)\n",
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" else: \n",
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" y.append(0)\n",
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"\n",
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"plt.plot(x,y)\n",
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"y"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Help on class map in module builtins:\n",
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"\n",
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"class map(object)\n",
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" | map(func, *iterables) --> map object\n",
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" | \n",
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" | Make an iterator that computes the function using arguments from\n",
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" | each of the iterables. Stops when the shortest iterable is exhausted.\n",
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" | \n",
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" | Methods defined here:\n",
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" | \n",
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" | __getattribute__(self, name, /)\n",
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" | Return getattr(self, name).\n",
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" | \n",
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" | __iter__(self, /)\n",
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" | Implement iter(self).\n",
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" | \n",
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" | __new__(*args, **kwargs) from builtins.type\n",
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" | Create and return a new object. See help(type) for accurate signature.\n",
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" | \n",
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" | __next__(self, /)\n",
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" | Implement next(self).\n",
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" | \n",
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" | __reduce__(...)\n",
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" | Return state information for pickling.\n",
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"\n"
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]
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}
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],
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"source": [
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"help(map)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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