{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# -- 将数据框命名为titanic\n",
"# -- 将PassengerId设置为索引\n",
"# -- 绘制一个展示男女乘客比例的扇形图\n",
"# -- 绘制一个展示船票Fare, 与乘客年龄和性别的散点图\n",
"# -- 有多少人生还?\n",
"# -- 绘制一个展示船票价格的直方图"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" PassengerId | \n",
" Survived | \n",
" Pclass | \n",
" Name | \n",
" Sex | \n",
" Age | \n",
" SibSp | \n",
" Parch | \n",
" Ticket | \n",
" Fare | \n",
" Cabin | \n",
" Embarked | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 3 | \n",
" Braund, Mr. Owen Harris | \n",
" male | \n",
" 22.0 | \n",
" 1 | \n",
" 0 | \n",
" A/5 21171 | \n",
" 7.2500 | \n",
" NaN | \n",
" S | \n",
"
\n",
" \n",
" 1 | \n",
" 2 | \n",
" 1 | \n",
" 1 | \n",
" Cumings, Mrs. John Bradley (Florence Briggs Th... | \n",
" female | \n",
" 38.0 | \n",
" 1 | \n",
" 0 | \n",
" PC 17599 | \n",
" 71.2833 | \n",
" C85 | \n",
" C | \n",
"
\n",
" \n",
" 2 | \n",
" 3 | \n",
" 1 | \n",
" 3 | \n",
" Heikkinen, Miss. Laina | \n",
" female | \n",
" 26.0 | \n",
" 0 | \n",
" 0 | \n",
" STON/O2. 3101282 | \n",
" 7.9250 | \n",
" NaN | \n",
" S | \n",
"
\n",
" \n",
" 3 | \n",
" 4 | \n",
" 1 | \n",
" 1 | \n",
" Futrelle, Mrs. Jacques Heath (Lily May Peel) | \n",
" female | \n",
" 35.0 | \n",
" 1 | \n",
" 0 | \n",
" 113803 | \n",
" 53.1000 | \n",
" C123 | \n",
" S | \n",
"
\n",
" \n",
" 4 | \n",
" 5 | \n",
" 0 | \n",
" 3 | \n",
" Allen, Mr. William Henry | \n",
" male | \n",
" 35.0 | \n",
" 0 | \n",
" 0 | \n",
" 373450 | \n",
" 8.0500 | \n",
" NaN | \n",
" S | \n",
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\n",
" \n",
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"
"
],
"text/plain": [
" PassengerId Survived Pclass \\\n",
"0 1 0 3 \n",
"1 2 1 1 \n",
"2 3 1 3 \n",
"3 4 1 1 \n",
"4 5 0 3 \n",
"\n",
" Name Sex Age SibSp \\\n",
"0 Braund, Mr. Owen Harris male 22.0 1 \n",
"1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n",
"2 Heikkinen, Miss. Laina female 26.0 0 \n",
"3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n",
"4 Allen, Mr. William Henry male 35.0 0 \n",
"\n",
" Parch Ticket Fare Cabin Embarked \n",
"0 0 A/5 21171 7.2500 NaN S \n",
"1 0 PC 17599 71.2833 C85 C \n",
"2 0 STON/O2. 3101282 7.9250 NaN S \n",
"3 0 113803 53.1000 C123 S \n",
"4 0 373450 8.0500 NaN S "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"#将数据框命名为titanic\n",
"titanic = pd.read_csv('data/train.csv')\n",
"titanic.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Survived | \n",
" Pclass | \n",
" Name | \n",
" Sex | \n",
" Age | \n",
" SibSp | \n",
" Parch | \n",
" Ticket | \n",
" Fare | \n",
" Cabin | \n",
" Embarked | \n",
"
\n",
" \n",
" PassengerId | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" 1 | \n",
" 0 | \n",
" 3 | \n",
" Braund, Mr. Owen Harris | \n",
" male | \n",
" 22.0 | \n",
" 1 | \n",
" 0 | \n",
" A/5 21171 | \n",
" 7.2500 | \n",
" NaN | \n",
" S | \n",
"
\n",
" \n",
" 2 | \n",
" 1 | \n",
" 1 | \n",
" Cumings, Mrs. John Bradley (Florence Briggs Th... | \n",
" female | \n",
" 38.0 | \n",
" 1 | \n",
" 0 | \n",
" PC 17599 | \n",
" 71.2833 | \n",
" C85 | \n",
" C | \n",
"
\n",
" \n",
" 3 | \n",
" 1 | \n",
" 3 | \n",
" Heikkinen, Miss. Laina | \n",
" female | \n",
" 26.0 | \n",
" 0 | \n",
" 0 | \n",
" STON/O2. 3101282 | \n",
" 7.9250 | \n",
" NaN | \n",
" S | \n",
"
\n",
" \n",
" 4 | \n",
" 1 | \n",
" 1 | \n",
" Futrelle, Mrs. Jacques Heath (Lily May Peel) | \n",
" female | \n",
" 35.0 | \n",
" 1 | \n",
" 0 | \n",
" 113803 | \n",
" 53.1000 | \n",
" C123 | \n",
" S | \n",
"
\n",
" \n",
" 5 | \n",
" 0 | \n",
" 3 | \n",
" Allen, Mr. William Henry | \n",
" male | \n",
" 35.0 | \n",
" 0 | \n",
" 0 | \n",
" 373450 | \n",
" 8.0500 | \n",
" NaN | \n",
" S | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Survived Pclass \\\n",
"PassengerId \n",
"1 0 3 \n",
"2 1 1 \n",
"3 1 3 \n",
"4 1 1 \n",
"5 0 3 \n",
"\n",
" Name Sex Age \\\n",
"PassengerId \n",
"1 Braund, Mr. Owen Harris male 22.0 \n",
"2 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 \n",
"3 Heikkinen, Miss. Laina female 26.0 \n",
"4 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 \n",
"5 Allen, Mr. William Henry male 35.0 \n",
"\n",
" SibSp Parch Ticket Fare Cabin Embarked \n",
"PassengerId \n",
"1 1 0 A/5 21171 7.2500 NaN S \n",
"2 1 0 PC 17599 71.2833 C85 C \n",
"3 0 0 STON/O2. 3101282 7.9250 NaN S \n",
"4 1 0 113803 53.1000 C123 S \n",
"5 0 0 373450 8.0500 NaN S "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#将PassengerId设置为索引\n",
"titanic = titanic.set_index('PassengerId')\n",
"titanic.head()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
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\n",
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