2024-09-15 14:39:02 +04:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Начало лабораторной работы\n",
"Тут я вывожу все заголовки из моих данных"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['Id', 'Name', 'Short description', 'Gender', 'Country', 'Occupation',\n",
" 'Birth year', 'Death year', 'Manner of death', 'Age of death'],\n",
" dtype='object')\n"
]
}
],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"df = pd.read_csv(\".//static//csv//csvLab1.csv\", sep =',')\n",
"print(df.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# В
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"birth_years = df['Birth year'].dropna()\n",
"\n",
"\n",
"bins = range(int(birth_years.min()), int(birth_years.max()) + 20, 20)\n",
"labels = [f'{i}-{i+19}' for i in bins[:-1]]\n",
"\n",
"\n",
"birth_year_groups = pd.cut(birth_years, bins=bins, labels=labels, right=False)\n",
"\n",
"\n",
"group_counts = birth_year_groups.value_counts().sort_index()\n",
"\n",
"\n",
"plt.figure(figsize=(10, 6))\n",
"group_counts.plot(kind='bar', edgecolor='black')\n",
"\n",
"\n",
"plt.title('Number of Famous People Born in different datas', fontsize=14)\n",
"plt.xlabel('Birth Year Interval', fontsize=12)\n",
"plt.ylabel('Number of People', fontsize=12)\n",
"plt.xticks(rotation=45)\n",
"\n",
"plt.xlim(left= 190)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"на данной гистограмме отображено столбцами сколько выдающихся людей родилось в тот или иной промежуток времени (интервал 20 лет)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# В о
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABoUAAAIoCAYAAACvcuJmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB4CElEQVR4nOzdeZhVdeE/8PewDaiAMgiIAqIW4L4loqZpfMVyLTM1FzSyDVf8lloqLqlpaS6ZZpnm11wrzS3UUMEFF3BXRFN0cAEaVFBZRDi/P3q4P0dWh4ELc1+v57lPzDmfe+77fO7hepo359yqoiiKAAAAAAAA0KQ1K3cAAAAAAAAAlj2lEAAAAAAAQAVQCgEAAAAAAFQApRAAAAAAAEAFUAoBAAAAAABUAKUQAAAAAABABVAKAQAAAAAAVAClEAAAAAAAQAVQCgEAAAAAAFQApRAAAKwEHnjggVRVVeW0004ry+uvu+66WXfddestO+2001JVVZUHHnigLJlef/31VFVV5bDDDivL6zeG2bNn57TTTssXvvCFVFdXp6qqKrfeemu5Y5Xd9ddfny233DJt27ZNVVVVjj322HJHWiauvvrqVFVV5eqrry53FAAAKoRSCAAAlpN5JcanH6usskq6du2ar371qzn11FPz6quvLpPX/spXvpKqqqplsu1laUFlVFNy/vnn5/TTT0/Xrl3zv//7vxk6dGh69+69xM+/5pprSsfSE088sQyTLj+jRo3KQQcdlGnTpuVHP/pRhg4dmt12222RzznssMPq/b1q0aJF1lhjjWy44YY56KCD8te//jUff/zxctqD+qqqqvKVr3ylLK8NAACf1aLcAQAAoNKsv/76Ofjgg5Mks2bNyuTJk/P444/nzDPPzNlnn52f/vSnOeuss+qVONtss03Gjh2bjh07liXz8OHDy/K6i7L22mtn7Nixad++fbmjNNgdd9yR1VZbLffee29atWr1uZ9/5ZVXpqqqKkVR5E9/+lO+9KUvLYOUy9edd96ZoihyzTXXZLvttvtczx00aFDWWWedFEWRadOm5ZVXXsntt9+e6667Ln369MkNN9yQTTfddBklBwCAFZ9SCAAAlrMNNthggbeBe+ihh3LIIYfknHPOSfPmzXPmmWeW1q2yyiqf6wqSxrb++uuX7bUXpmXLlmWdk8bw9ttvp6ampkGF0CuvvJKRI0dmr732yksvvZTrr78+F1xwQdq0abMMki4/b7/9dpKka9eun/u53/ve97LtttvWW/bBBx9k6NCh+c1vfpNdd901Tz75ZIO2DQAATYHbxwEAwApihx12yLBhw1JdXZ3zzjsvEyZMKK1b2HcKvfLKKzn88MPTs2fPVFdXp0OHDtlss81y7LHHpiiKJP+9fdWIESNKf573mPddPJ/+bp6xY8fmG9/4RmpqalJVVZXXX389yeJv43bllVdmk002SevWrbP22mvnuOOOywcffFBvzKK+F+mz3w807+c33ngjb7zxRr3c856/qO8UeuONNzJo0KCsvfbaadWqVdZZZ50MGjQotbW1842dd2u9ed/vs+6666a6ujpf/OIX87vf/W6h+7wwV111Vfr27ZvVVlstq622Wvr27Tvfd8bM+z6m8ePH19u/z3OrvD/96U9JkkMPPTSHHHJIpk6dmr/+9a8LHf/6669n//33T4cOHbLaaqtlp512ysiRIxf53VAjR47MnnvumY4dO6a6ujpf+MIXcvLJJ2f69OlLnDNJHn744ey+++7p0KFDWrdund69e2fo0KH1tjPv+LjqqquSJD179izNy7zjsCHatm2bCy64IIcddlgmTZqUX/ziF/ONmTx5co477rhssMEGqa6uTseOHbPvvvvm+eefn2/s/fffn+9+97vp1atX6T3eeuutc8UVV9QbN29/kmTEiBH1juEFfYfQPffck+222y6rrLJKampqMnDgwEyZMqXB+w0AAAviSiEAAFiB9OrVK9/+9rfzf//3f7n11ltz1FFHLXTs22+/nW222SYfffRRdt999+y///756KOP8sorr+R3v/tdfv3rX6dFixYZOnRorr766rzxxhsZOnRo6fmbb755ve39+9//zrbbbptNNtkkhx12WKZMmbJEV7BccMEFGT58ePbff//svvvu+de//pULL7wwjz76aEaOHJmWLVt+7nlYffXVM3To0Fx44YVJkmOPPba0bnHfz/Lyyy9nhx12yH/+85/sueee2WijjfL888/nT3/6U26//fY89NBD+eIXvzjf8w488MA8/vjj+drXvpbmzZvnpptuyuDBg9OyZcscccQRS5T76KOPziWXXJK11147gwYNSpL87W9/y+GHH56nnnoqF110Ub19+Oz+rb766kv0OnPmzMmf//znrLHGGtljjz2y9dZb59RTT82VV16ZQw45ZL7xb731Vrbbbru888472W233bLFFltk3Lhx+Z//+Z/ssssuC3yNyy67LIMHD87qq6+ePffcM506dcro0aNz1lln5f7778/999+/RMfHzTffnAMPPDDV1dXZf//906lTp9xzzz0544wzcvfdd+eBBx5I69ats+6662bo0KG59dZb88wzz+SYY44pzceSzsuinHLKKbn66qtz00035dJLLy0VNq+++mq+8pWv5M0338yuu+6affbZJ5MnT87f/va33H333Rk+fHj69u1b2s65555b+rvyjW98I++//36GDRuWH/zgBxk3blzOP//8JCntz+mnn54ePXrUKy8/+3fvtttuy5133pk999wz2223XUaOHJlrrrkmr776ah566KGl3ncAACgpAACA5WL8+PFFkmLAgAGLHHfllVcWSYpDDjmktOz+++8vkhRDhw4tLbv44ouLJMWFF1443zamTJlS7+eddtqpWNjp/7xcSYpTTz11gWN69OhR9OjRo96yoUOHFkmKVq1aFc8880xp+dy5c4vvfOc7RZLi17/+9SL34bMZBg4cuNjXXdxzdt555yJJ8fvf/77e8ksvvbRIUuyyyy71ls+bm759+xZTp04tLX/ppZeKFi1aFL169Vrg63/WiBEjiiRFnz59ivfff7+0/N133y2++MUvFkmKkSNHLvH+Lcptt91WJCl+8IMflJbtuOOORVVVVfHKK6/MN/7ggw8ukhRnnXVWveXzjrUkxf33319a/sILLxQtWrQoNttss6Kurq7ec84555z53tuFmTp1atG+ffuiurq63jEyZ86cYv/99y+SFGeccUa95wwcOLBIUowfP36x2//sc0aNGrXIcd26dSuSFK+++mpp2XbbbVc0b968GDZsWL2x48aNK9q2bVtssskm9Za/9tpr82139uzZxf/8z/8UzZs3L954441665IUO+200wLzXHXVVUWSokWLFsVDDz1UWv7JJ58UX/nKV5ZonwAA4PNw+zgAAFjBzPu+k7q6uiUav6DvkOnQocPnft0uXbrk5z//+ed+3qGHHppNN9209HNVVVXOPvvsNG/efIG3yVqWamtrc//992fDDTec7+qeH/7wh+ndu3fuu+++erfmm+ecc85Ju3btSj/36tUr22+/fcaNGzffrfAW5M9//nOS/94arn379qXla6yxRukKrcaajyuvvDLJf+d+nkMPPTRFUZRuKzfPrFmzcvPNN6dTp045/vjj6607/PDD06tXr/m2//vf/z6ffPJJLrnkktTU1NRb99Of/jRrrrlmrr/++sXm/Mc//pGpU6fmu9/9br1jpFmzZjnvvPPSokWL5XqMfPbv1lNPPZVHHnkkAwcOzIABA+qN/eIXv5gjjjgizz33XL3byPXs2XO+7bZo0SI//OEPM2fOnNx///2fO9d3vvOdbL/99qWfmzdvnoEDByZJnnjiic+9PQAAWBi3jwMAgJXUnnvumZNOOimDBw/O8OHDs9tuu2WnnXbKeuut16DtbbbZZkt0O7DP+vKXvzzfsh49eqRbt2554YUX8vHHHzdouw3x9NNPJ0l22mmn0u3B5mnWrFl23HHHvPTSS3n66afTrVu3euu32mqr+ba3zjrrJEnef//9tG3bdpGv/dRTTyVZ8O3tdt5553r
"text/plain": [
"<Figure size 2000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"age_of_death = df['Age of death'].dropna()\n",
"\n",
"plt.figure(figsize=(20, 6))\n",
"plt.hist(age_of_death, bins=60, edgecolor='black')\n",
"\n",
"plt.title('Distribution of Age of Death', fontsize=14)\n",
"plt.xlabel('Age of Death', fontsize=12)\n",
"plt.ylabel('Number of People', fontsize=12)\n",
"plt.xticks(ticks=range(int(age_of_death.min()), int(age_of_death.max()) + 5, 5))\n",
"plt.xlim(0,120)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"на данной гистограмме отображены возраста, в которых люди чаще всег покидали наш мир и отправлялись в лучшее место"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Круговая диаграмма гендера\n",
"Круговая диаграмма гендера, которая по выборке из 1000 персон покажет сколько процентов мужчин и сколько женщин"
]
},
{
"cell_type": "code",
2024-09-21 11:49:52 +04:00
"execution_count": 45,
2024-09-15 14:39:02 +04:00
"metadata": {},
"outputs": [
{
"data": {
2024-09-21 11:49:52 +04:00
"image/png": "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
2024-09-15 14:39:02 +04:00
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gender_counts = df['Gender'].value_counts()\n",
"\n",
"\n",
"df_subset = df.head(1000)\n",
"\n",
"# Подсчет количества записей по каждому гендеру\n",
"gender_counts = df_subset['Gender'].value_counts()\n",
"\n",
"# Построение круговой диаграммы\n",
"plt.figure(figsize=(8, 8))\n",
"plt.pie(gender_counts, labels=gender_counts.index, autopct='%1.1f%%', startangle=140, colors=['#66b3ff','#ff9999'])\n",
"plt.title('Распределение по гендеру (первые 1000 записей)')\n",
"plt.axis('equal') # Чтобы круговая диаграмма была кругом\n",
"\n",
"# Отображение диаграммы\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Данная круговая диаграмма показывает процент мужчин и женщин среди выдающихся людей по выборке из 1000 человек (там еще че-то написано , но мы такое осуждаем !!!!!!!!!!!)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "MIiLabs",
"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": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
