{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# EuroCoinProblem" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Import" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import scipy as sp\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import empiricaldist\n", "from empiricaldist import Pmf, Distribution\n", "from ipywidgets import interact, interactive, fixed" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "euro = Pmf.from_seq(range(101))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | probs | \n", "
---|---|
0 | \n", "0.009901 | \n", "
1 | \n", "0.009901 | \n", "
2 | \n", "0.009901 | \n", "
3 | \n", "0.009901 | \n", "
4 | \n", "0.009901 | \n", "
... | \n", "... | \n", "
96 | \n", "0.009901 | \n", "
97 | \n", "0.009901 | \n", "
98 | \n", "0.009901 | \n", "
99 | \n", "0.009901 | \n", "
100 | \n", "0.009901 | \n", "
101 rows × 1 columns
\n", "