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vedraiyani/folium_example.ipynb

Created September 6, 2019 08:50
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folium_example.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Folium_example.ipynb",
"version": "0.3.2",
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/vedraiyani/b3c650133810d00cb0f52ffe126d4259/folium_example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NLjw5_YCMdSZ",
"colab_type": "text"
},
"source": [
"[Tutorial can be found here](https://towardsdatascience.com/analysis-of-car-accidents-in-barcelona-using-pandas-matplotlib-and-folium-73384240106b)"
]
},
{
"cell_type": "code",
"metadata": {
"id": "u4ZX7x01Gr20",
"colab_type": "code",
"outputId": "e8290299-e7ee-453d-d9c0-8e8cebad6522",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"from google.colab import drive\n",
"drive.mount('/content/gdrive')"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "KFtBXpi5GrQK",
"colab_type": "code",
"outputId": "f71f9002-abb1-45b3-e28f-70532f19e7c7",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 306
}
},
"source": [
"!ls './gdrive/My Drive/data/barcelona'"
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"accidents_2017.csv\n",
"air_quality_Nov2017.csv\n",
"air_stations_Nov2017.csv\n",
"births.csv\n",
"bus_stops.csv\n",
"deaths.csv\n",
"immigrants_by_nationality.csv\n",
"immigrants_emigrants_by_age.csv\n",
"immigrants_emigrants_by_destination2.csv\n",
"immigrants_emigrants_by_destination.csv\n",
"immigrants_emigrants_by_sex.csv\n",
"life_expectancy.csv\n",
"most_frequent_baby_names.csv\n",
"most_frequent_names.csv\n",
"population.csv\n",
"transports.csv\n",
"unemployment.csv\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "i5WIfgJ1GmhD",
"colab_type": "code",
"colab": {}
},
"source": [
"import pandas as pd\n",
"\n",
"df = pd.read_csv('./gdrive/My Drive/data/barcelona/accidents_2017.csv')"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "toJm6Qi2L7iq",
"colab_type": "code",
"outputId": "02607839-37a2-48ec-e765-95028a973f79",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 255
}
},
"source": [
"df.head()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Id</th>\n",
" <th>District Name</th>\n",
" <th>Neighborhood Name</th>\n",
" <th>Street</th>\n",
" <th>Weekday</th>\n",
" <th>Month</th>\n",
" <th>Day</th>\n",
" <th>Hour</th>\n",
" <th>Part of the day</th>\n",
" <th>Mild injuries</th>\n",
" <th>Serious injuries</th>\n",
" <th>Victims</th>\n",
" <th>Vehicles involved</th>\n",
" <th>Longitude</th>\n",
" <th>Latitude</th>\n",
" <th>Year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2017S008429</td>\n",
" <td>Unknown</td>\n",
" <td>Unknown</td>\n",
" <td>Número 27 ...</td>\n",
" <td>Friday</td>\n",
" <td>October</td>\n",
" <td>13</td>\n",
" <td>8</td>\n",
" <td>Morning</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.125624</td>\n",
" <td>41.340045</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2017S007316</td>\n",
" <td>Unknown</td>\n",
" <td>Unknown</td>\n",
" <td>Número 3 Zona Franca / Número 50 Zona Franca ...</td>\n",
" <td>Friday</td>\n",
" <td>September</td>\n",
" <td>1</td>\n",
" <td>13</td>\n",
" <td>Morning</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.120452</td>\n",
" <td>41.339426</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017S010210</td>\n",
" <td>Unknown</td>\n",
" <td>Unknown</td>\n",
" <td>Litoral (Besòs) ...</td>\n",
" <td>Friday</td>\n",
" <td>December</td>\n",
" <td>8</td>\n",
" <td>21</td>\n",
" <td>Afternoon</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>2.167356</td>\n",
" <td>41.360885</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2017S006364</td>\n",
" <td>Unknown</td>\n",
" <td>Unknown</td>\n",
" <td>Número 3 Zona Franca ...</td>\n",
" <td>Friday</td>\n",
" <td>July</td>\n",
" <td>21</td>\n",
" <td>2</td>\n",
" <td>Night</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.124529</td>\n",
" <td>41.337668</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2017S004615</td>\n",
" <td>Sant Martí</td>\n",
" <td>el Camp de l'Arpa del Clot</td>\n",
" <td>Las Navas de Tolosa ...</td>\n",
" <td>Thursday</td>\n",
" <td>May</td>\n",
" <td>25</td>\n",
" <td>14</td>\n",
" <td>Afternoon</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2.185272</td>\n",
" <td>41.416365</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Id District Name ... Latitude Year\n",
"0 2017S008429 Unknown ... 41.340045 2017\n",
"1 2017S007316 Unknown ... 41.339426 2017\n",
"2 2017S010210 Unknown ... 41.360885 2017\n",
"3 2017S006364 Unknown ... 41.337668 2017\n",
"4 2017S004615 Sant Martí ... 41.416365 2017\n",
"\n",
"[5 rows x 16 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "LgCXWEUFWuCN",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 357
},
"outputId": "b5aaac3b-f1c0-4545-f0cd-46db7bd5569d"
},
"source": [
"# List of columns names\n",
"list(df.columns)\n",
"# ['Id','District Name','Neighborhood Name','Street','Weekday','Month','Day','Hour','Part of the day','Mild injuries','Serious injuries','Victims','Vehicles involved','Longitude','Latitude']\n",
"\n",
"# Dataframe info : column name and types, null values, and memory usage.\n",
"df.info()"
],
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 10339 entries, 0 to 10338\n",
"Data columns (total 15 columns):\n",
"Id 10339 non-null object\n",
"District Name 10339 non-null object\n",
"Neighborhood Name 10339 non-null object\n",
"Street 10339 non-null object\n",
"Weekday 10339 non-null object\n",
"Month 10339 non-null object\n",
"Day 10339 non-null int64\n",
"Hour 10339 non-null int64\n",
"Part of the day 10339 non-null object\n",
"Mild injuries 10339 non-null int64\n",
"Serious injuries 10339 non-null int64\n",
"Victims 10339 non-null int64\n",
"Vehicles involved 10339 non-null int64\n",
"Longitude 10339 non-null float64\n",
"Latitude 10339 non-null float64\n",
"dtypes: float64(2), int64(6), object(7)\n",
"memory usage: 1.2+ MB\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "I_GOAU7BWuyZ",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 357
},
"outputId": "4ca721e8-a2b4-4f4c-c2ab-5fde83eada24"
},
"source": [
"import numpy as np\n",
"\n",
"# Apparently, there are not null values.\n",
"df.isnull().sum().any()\n",
"# False\n",
"# meaning there are not null values.\n",
"\n",
"# replace Unknown with n.a\n",
"df.replace('Unknown',np.nan, inplace=True)\n",
"\n",
"# Now, There are null values\n",
"df.isnull().sum().any()\n",
"# True\n",
"\n",
"# Access number of null values using the .info() method.\n",
"df.info()"
],
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 10339 entries, 0 to 10338\n",
"Data columns (total 15 columns):\n",
"Id 10339 non-null object\n",
"District Name 10312 non-null object\n",
"Neighborhood Name 10312 non-null object\n",
"Street 10339 non-null object\n",
"Weekday 10339 non-null object\n",
"Month 10339 non-null object\n",
"Day 10339 non-null int64\n",
"Hour 10339 non-null int64\n",
"Part of the day 10339 non-null object\n",
"Mild injuries 10339 non-null int64\n",
"Serious injuries 10339 non-null int64\n",
"Victims 10339 non-null int64\n",
"Vehicles involved 10339 non-null int64\n",
"Longitude 10339 non-null float64\n",
"Latitude 10339 non-null float64\n",
"dtypes: float64(2), int64(6), object(7)\n",
"memory usage: 1.2+ MB\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "VzwbpOm0W7yN",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 85
},
"outputId": "7d369620-742c-4c7f-9ec7-02d11bd2f314"
},
"source": [
"# Drop unnecessary columns.\n",
"df.drop(['District Name','Neighborhood Name','Part of the day'],axis=1 ,inplace=True)\n",
"\n",
"# Columns after dropping.\n",
"df.columns\n",
"# 'Id', 'Street', 'Weekday', 'Month', 'Day', 'Hour', 'Mild injuries','Serious injuries', 'Victims', 'Vehicles involved', 'Longitude','Latitude'"
],
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Id', 'Street', 'Weekday', 'Month', 'Day', 'Hour', 'Mild injuries',\n",
" 'Serious injuries', 'Victims', 'Vehicles involved', 'Longitude',\n",
" 'Latitude'],\n",
" dtype='object')"
]
},
"metadata": {
"tags": []
},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "TScJxxtfXKW9",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
},
"outputId": "39b3aa3b-8708-40d6-e1be-2d6984c9150b"
},
"source": [
"# Change columns names. Replace spaces by underscores and upper case letters by lower case letters.\n",
"df.rename(columns=lambda x:x.replace(' ','_').lower(), inplace=True)\n",
"\n",
"# New column names\n",
"df.columns\n",
"# Index(['id', 'street', 'weekday', 'month', 'day', 'hour', 'mild_injuries','serious_injuries', 'victims', 'vehicles_involved', 'longitude','latitude'],dtype='object')\n",
"\n",
"# Add a column with the year in this case 2017\n",
"df['year'] = np.repeat(2017,df.shape[0])\n",
"\n",
"# first rows after adding the year\n",
"df.head()"
],
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>street</th>\n",
" <th>weekday</th>\n",
" <th>month</th>\n",
" <th>day</th>\n",
" <th>hour</th>\n",
" <th>mild_injuries</th>\n",
" <th>serious_injuries</th>\n",
" <th>victims</th>\n",
" <th>vehicles_involved</th>\n",
" <th>longitude</th>\n",
" <th>latitude</th>\n",
" <th>year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2017S008429</td>\n",
" <td>Número 27 ...</td>\n",
" <td>Friday</td>\n",
" <td>October</td>\n",
" <td>13</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.125624</td>\n",
" <td>41.340045</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2017S007316</td>\n",
" <td>Número 3 Zona Franca / Número 50 Zona Franca ...</td>\n",
" <td>Friday</td>\n",
" <td>September</td>\n",
" <td>1</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.120452</td>\n",
" <td>41.339426</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017S010210</td>\n",
" <td>Litoral (Besòs) ...</td>\n",
" <td>Friday</td>\n",
" <td>December</td>\n",
" <td>8</td>\n",
" <td>21</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>2.167356</td>\n",
" <td>41.360885</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2017S006364</td>\n",
" <td>Número 3 Zona Franca ...</td>\n",
" <td>Friday</td>\n",
" <td>July</td>\n",
" <td>21</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.124529</td>\n",
" <td>41.337668</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2017S004615</td>\n",
" <td>Las Navas de Tolosa ...</td>\n",
" <td>Thursday</td>\n",
" <td>May</td>\n",
" <td>25</td>\n",
" <td>14</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2.185272</td>\n",
" <td>41.416365</td>\n",
" <td>2017</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id ... year\n",
"0 2017S008429 ... 2017\n",
"1 2017S007316 ... 2017\n",
"2 2017S010210 ... 2017\n",
"3 2017S006364 ... 2017\n",
"4 2017S004615 ... 2017\n",
"\n",
"[5 rows x 13 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "BScVddipXRr9",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "c9fc1e4e-43c1-4776-d67c-1f3922c3fe41"
},
"source": [
"# Obtain month names \n",
"list(df.month.unique())\n",
"# ['October','September','December','July','May','June','January','April','March','November','February','August']\n",
"\n",
"# Month names to int\n",
"month_to_int = {'January':1,'February':2,'March':3,'April':4,'May':5,'June':6,'July':7,'August':8,'September':9,'October':10,'November':11,'December':12}\n",
"# Convert month names into numbers\n",
"df['month'].replace(month_to_int,inplace=True)\n",
"\n",
"# Obtain new month names\n",
"list(df.month.unique())\n",
"# [10, 9, 12, 7, 5, 6, 1, 4, 3, 11, 2, 8]"
],
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[10, 9, 12, 7, 5, 6, 1, 4, 3, 11, 2, 8]"
]
},
"metadata": {
"tags": []
},
"execution_count": 11
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "4wjszkytXT6y",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 289
},
"outputId": "aa24261c-bb1f-412b-e971-36c736eb97e5"
},
"source": [
"# Combine columns month day hour and year to create a single datetime column.\n",
"df['date']=pd.to_datetime(df[['year', 'month', 'day','hour']])\n",
"\n",
"# Observe the first 5 columns.\n",
"df.head()"
],
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>street</th>\n",
" <th>weekday</th>\n",
" <th>month</th>\n",
" <th>day</th>\n",
" <th>hour</th>\n",
" <th>mild_injuries</th>\n",
" <th>serious_injuries</th>\n",
" <th>victims</th>\n",
" <th>vehicles_involved</th>\n",
" <th>longitude</th>\n",
" <th>latitude</th>\n",
" <th>year</th>\n",
" <th>date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2017S008429</td>\n",
" <td>Número 27 ...</td>\n",
" <td>Friday</td>\n",
" <td>10</td>\n",
" <td>13</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.125624</td>\n",
" <td>41.340045</td>\n",
" <td>2017</td>\n",
" <td>2017-10-13 08:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2017S007316</td>\n",
" <td>Número 3 Zona Franca / Número 50 Zona Franca ...</td>\n",
" <td>Friday</td>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.120452</td>\n",
" <td>41.339426</td>\n",
" <td>2017</td>\n",
" <td>2017-09-01 13:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017S010210</td>\n",
" <td>Litoral (Besòs) ...</td>\n",
" <td>Friday</td>\n",
" <td>12</td>\n",
" <td>8</td>\n",
" <td>21</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>2.167356</td>\n",
" <td>41.360885</td>\n",
" <td>2017</td>\n",
" <td>2017-12-08 21:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2017S006364</td>\n",
" <td>Número 3 Zona Franca ...</td>\n",
" <td>Friday</td>\n",
" <td>7</td>\n",
" <td>21</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.124529</td>\n",
" <td>41.337668</td>\n",
" <td>2017</td>\n",
" <td>2017-07-21 02:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2017S004615</td>\n",
" <td>Las Navas de Tolosa ...</td>\n",
" <td>Thursday</td>\n",
" <td>5</td>\n",
" <td>25</td>\n",
" <td>14</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2.185272</td>\n",
" <td>41.416365</td>\n",
" <td>2017</td>\n",
" <td>2017-05-25 14:00:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id ... date\n",
"0 2017S008429 ... 2017-10-13 08:00:00\n",
"1 2017S007316 ... 2017-09-01 13:00:00\n",
"2 2017S010210 ... 2017-12-08 21:00:00\n",
"3 2017S006364 ... 2017-07-21 02:00:00\n",
"4 2017S004615 ... 2017-05-25 14:00:00\n",
"\n",
"[5 rows x 14 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 14
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "tfiftpLCXaQV",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "33bdf03a-9b9d-49f7-c9b2-497d37e5635a"
},
"source": [
"# Check the datatype of the date column\n",
"df.date.dtypes\n",
"# dtype('<M8[ns]')"
],
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"dtype('<M8[ns]')"
]
},
"metadata": {
"tags": []
},
"execution_count": 15
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Ea0AYESZXbzB",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 119
},
"outputId": "9d396230-98bc-47c2-ca32-02425874623a"
},
"source": [
"# Extract the year\n",
"df['date'].dt.year\n",
"\n",
"# Extract the month\n",
"df['date'].dt.month\n",
"\n",
"# Extract the day\n",
"df['date'].dt.day\n",
"\n",
"# Extract the hour\n",
"df['date'].dt.hour\n",
"\n",
"# Extract the day of the week\n",
"df['date'].dt.dayofweek\n",
"\n",
"# Day of the week - first five elements of the returned serie.\n",
"df['date'].dt.dayofweek.head()"
],
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0 4\n",
"1 4\n",
"2 4\n",
"3 4\n",
"4 3\n",
"Name: date, dtype: int64"
]
},
"metadata": {
"tags": []
},
"execution_count": 17
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "0eXIpxtNXrio",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 170
},
"outputId": "a27db045-7fca-4089-d3ac-3e2f5d3e29ca"
},
"source": [
"# Drop columns hour, day, month, year, weekday\n",
"df.drop(['hour','day','month','year','weekday'], axis=1, inplace=True)\n",
"\n",
"# Dataframe columns\n",
"list(df.columns)\n",
"# ['id','street','mild_injuries','serious_injuries','victims','vehicles_involved','longitude','latitude','date']"
],
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['id',\n",
" 'street',\n",
" 'mild_injuries',\n",
" 'serious_injuries',\n",
" 'victims',\n",
" 'vehicles_involved',\n",
" 'longitude',\n",
" 'latitude',\n",
" 'date']"
]
},
"metadata": {
"tags": []
},
"execution_count": 18
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "PezZd7mkXvvH",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
},
"outputId": "502aced8-3d63-44e1-9e72-1bc3863aa961"
},
"source": [
"# Drop the street column\n",
"df.drop(['street'], axis=1, inplace=True)\n",
"\n",
"# First 5 rows of the dataframe\n",
"df.head()"
],
"execution_count": 19,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>mild_injuries</th>\n",
" <th>serious_injuries</th>\n",
" <th>victims</th>\n",
" <th>vehicles_involved</th>\n",
" <th>longitude</th>\n",
" <th>latitude</th>\n",
" <th>date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2017S008429</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.125624</td>\n",
" <td>41.340045</td>\n",
" <td>2017-10-13 08:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2017S007316</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.120452</td>\n",
" <td>41.339426</td>\n",
" <td>2017-09-01 13:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017S010210</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>2.167356</td>\n",
" <td>41.360885</td>\n",
" <td>2017-12-08 21:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2017S006364</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.124529</td>\n",
" <td>41.337668</td>\n",
" <td>2017-07-21 02:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2017S004615</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2.185272</td>\n",
" <td>41.416365</td>\n",
" <td>2017-05-25 14:00:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id mild_injuries ... latitude date\n",
"0 2017S008429 2 ... 41.340045 2017-10-13 08:00:00\n",
"1 2017S007316 2 ... 41.339426 2017-09-01 13:00:00\n",
"2 2017S010210 5 ... 41.360885 2017-12-08 21:00:00\n",
"3 2017S006364 1 ... 41.337668 2017-07-21 02:00:00\n",
"4 2017S004615 1 ... 41.416365 2017-05-25 14:00:00\n",
"\n",
"[5 rows x 8 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "EndSrGg-XxmE",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 153
},
"outputId": "db2a4778-ed1d-4672-aa9e-f5b967cb05ed"
},
"source": [
"# We have noticed that id has spaces at the end of the string\n",
"df.id.loc[0]\n",
"# '2017S008429 '\n",
"\n",
"# We remove the spaces in the entries of id \n",
"df.id = df.id.apply(lambda x: x.strip())\n",
"\n",
"# We have removed the spaces successfully\n",
"df.id.loc[0]\n",
"# '2017S008429'\n",
"\n",
"# We can set id as the index of the dataframe\n",
"df.set_index('id', inplace=True)\n",
"\n",
"# Now we can easily access information about an accident using its id.\n",
"df.loc['2017S008429']"
],
"execution_count": 20,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"mild_injuries 2\n",
"serious_injuries 0\n",
"victims 2\n",
"vehicles_involved 2\n",
"longitude 2.12562\n",
"latitude 41.34\n",
"date 2017-10-13 08:00:00\n",
"Name: 2017S008429, dtype: object"
]
},
"metadata": {
"tags": []
},
"execution_count": 20
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "FOQeBNqVXzia",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 359
},
"outputId": "88b04f7f-5bde-4d0b-dc62-fccd31e8d7b0"
},
"source": [
"# Assess whether or not the dataframe contains duplicated rows.\n",
"df.duplicated().sum()\n",
"# 9\n",
"\n",
"# Print duplicated rows.\n",
"df[df.duplicated()]"
],
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>mild_injuries</th>\n",
" <th>serious_injuries</th>\n",
" <th>victims</th>\n",
" <th>vehicles_involved</th>\n",
" <th>longitude</th>\n",
" <th>latitude</th>\n",
" <th>date</th>\n",
" </tr>\n",
" <tr>\n",
" <th>id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017S006811</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.147915</td>\n",
" <td>41.393601</td>\n",
" <td>2017-08-07 10:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S003575</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.194670</td>\n",
" <td>41.412827</td>\n",
" <td>2017-04-21 10:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S003286</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.136744</td>\n",
" <td>41.357598</td>\n",
" <td>2017-04-10 13:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S008856</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.203962</td>\n",
" <td>41.407568</td>\n",
" <td>2017-10-26 08:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S003750</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.168836</td>\n",
" <td>41.386306</td>\n",
" <td>2017-04-27 16:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S001504</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.139400</td>\n",
" <td>41.418656</td>\n",
" <td>2017-02-23 14:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S004447</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.209813</td>\n",
" <td>41.402218</td>\n",
" <td>2017-05-19 20:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S005606</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2.189016</td>\n",
" <td>41.383396</td>\n",
" <td>2017-06-27 17:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017S003201</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.168349</td>\n",
" <td>41.430413</td>\n",
" <td>2017-04-06 19:00:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" mild_injuries serious_injuries ... latitude date\n",
"id ... \n",
"2017S006811 1 0 ... 41.393601 2017-08-07 10:00:00\n",
"2017S003575 1 0 ... 41.412827 2017-04-21 10:00:00\n",
"2017S003286 1 0 ... 41.357598 2017-04-10 13:00:00\n",
"2017S008856 1 0 ... 41.407568 2017-10-26 08:00:00\n",
"2017S003750 1 0 ... 41.386306 2017-04-27 16:00:00\n",
"2017S001504 1 0 ... 41.418656 2017-02-23 14:00:00\n",
"2017S004447 1 0 ... 41.402218 2017-05-19 20:00:00\n",
"2017S005606 1 0 ... 41.383396 2017-06-27 17:00:00\n",
"2017S003201 1 0 ... 41.430413 2017-04-06 19:00:00\n",
"\n",
"[9 rows x 7 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 22
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "K7B5h-XNX15T",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "5bbb8cf9-0533-4198-dbc6-145b966c5046"
},
"source": [
"# Shape of the dataframe before removing duplicated columns\n",
"df.shape\n",
"# (10339, 7)\n",
"\n",
"# Drop duplicates.\n",
"df.drop_duplicates(inplace=True)\n",
"\n",
"# Shape after dropping duplicates.\n",
"df.shape\n",
"#(10330, 7)"
],
"execution_count": 23,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(10330, 7)"
]
},
"metadata": {
"tags": []
},
"execution_count": 23
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5E9Ycd_9X5t_",
"colab_type": "text"
},
"source": [
"#**Answering questions and drawing conclusions**"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Z-lYg8lsX3hm",
"colab_type": "text"
},
"source": [
"##Time analysis"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lSNzPpQoYgvN",
"colab_type": "text"
},
"source": [
"###How many accidents were registered by the police in Barcelona in 2017?"
]
},
{
"cell_type": "code",
"metadata": {
"id": "UUG6IBgXX1Ct",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "2fb7efa9-2a63-49a2-d0d8-1cbcff6dc1e0"
},
"source": [
"print('Total number of accidents in 2017 :{}'.format(df.shape[0]))\n",
"# Total number of accidents in 2017 :10330"
],
"execution_count": 24,
"outputs": [
{
"output_type": "stream",
"text": [
"Total number of accidents in 2017 :10330\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QJWuN9pFZmo0",
"colab_type": "text"
},
"source": [
"###Distribution of car accidents per month"
]
},
{
"cell_type": "code",
"metadata": {
"id": "mrLXG5oAZkxM",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 238
},
"outputId": "d083975f-559f-4eab-8c6e-d8ec6a52951b"
},
"source": [
"import calendar\n",
"# Number of accident per month\n",
"accidents_month = df.groupby(df['date'].dt.month).count().date\n",
"\n",
"# Replace the month integers by month names.\n",
"accidents_month.index=[calendar.month_name[x] for x in range(1,13)]\n",
"\n",
"accidents_month"
],
"execution_count": 45,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"January 844\n",
"February 823\n",
"March 935\n",
"April 841\n",
"May 962\n",
"June 907\n",
"July 918\n",
"August 651\n",
"September 769\n",
"October 927\n",
"November 991\n",
"December 762\n",
"Name: date, dtype: int64"
]
},
"metadata": {
"tags": []
},
"execution_count": 45
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "LMhXaGeyZpvm",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 513
},
"outputId": "8322175a-e0c4-4f97-d1ac-5fec6d89e23a"
},
"source": [
"import matplotlib.pyplot as plt\n",
"% matplotlib inline\n",
"plt.style.use('ggplot')\n",
"\n",
"# plot accidents per month\n",
"accidents_month.plot(kind='bar',figsize=(12,7), color='blue', alpha=0.5)\n",
"\n",
"# title and x,y labels\n",
"plt.title('Accidents in Barcelona in 2017', fontsize=20)\n",
"plt.xlabel('Month',fontsize=16)\n",
"plt.ylabel('Number of accidents',fontsize=16);"
],
"execution_count": 26,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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chw4d0rlz52QYhr799ls1adJEbdu21fbt2yVJGzduVNeuXSVJXbp00caNGyVJ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\nQhj4P5whgnlXZnFFAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 864x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Kg4B6C8HZyUK",
"colab_type": "text"
},
"source": [
"###Distribution of car accidents per day of the week"
]
},
{
"cell_type": "code",
"metadata": {
"id": "ediynUE7ZsHI",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 517
},
"outputId": "c4114ea8-c794-44b4-ce68-c81739282544"
},
"source": [
"# Number of accident per day of the week\n",
"accidents_day = df.groupby(df['date'].dt.dayofweek).count().date\n",
"\n",
"# Replace the day integers by day names.\n",
"accidents_day.index=[calendar.day_name[x] for x in range(0,7)]\n",
"\n",
"# plot accidents per day\n",
"accidents_day.plot(kind='bar',figsize=(12,7), color='magenta', alpha=0.5)\n",
"\n",
"# title and x,y labels\n",
"plt.title('Accidents in Barcelona in 2017', fontsize=20)\n",
"plt.xlabel('Day of the week',fontsize=16)\n",
"plt.ylabel('Number of accidents',fontsize=16);"
],
"execution_count": 27,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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85gk333yztmzZom+++cb5/nj11VeVmZmpBQsWlPkA9/7772vRokXljufqzpCVeZ+UvB9a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\nQmCC\n",
"text/plain": [
"<Figure size 864x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "PNhz1Ly1Z5_5",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 540
},
"outputId": "97a39f47-e7ee-4825-83a3-b147c1563000"
},
"source": [
"accidents = df.groupby(df['date'].dt.date).count().date\n",
"\n",
"accidents.plot(figsize=(13,8), color='blue')\n",
"\n",
"# sunday accidents\n",
"sundays = df.groupby(df[df['date'].dt.dayofweek==6].date.dt.date).count().date\n",
"plt.scatter(sundays.index, sundays, color='green', label='sunday')\n",
"\n",
"# friday accidents\n",
"friday = df.groupby(df[df['date'].dt.dayofweek==4].date.dt.date).count().date\n",
"plt.scatter(friday.index, friday, color='red', label='friday')\n",
"\n",
"# Title, x label and y label\n",
"plt.title('Accidents in Barcelona in 2017', fontsize=20)\n",
"plt.xlabel('Date',fontsize=16)\n",
"plt.ylabel('Number of accidents per day',fontsize=16);\n",
"plt.legend()"
],
"execution_count": 28,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fafe6986d68>"
]
},
"metadata": {
"tags": []
},
"execution_count": 28
},
{
"output_type": "display_data",
"data": {
"image/png": 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YuXKlj7K5evVqrFq1KuDx/FU0Duc94e/DhRde6LJCKYEfx9/7AwAnTpzw2E4JdrsdTz31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iMNv/Irv4L5+Xns2rUL9Xod11xzTfrbt7/9bVx00UUdN6Tfxgs3SU+Sxd34BeVotHzJFJ9WHa+X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WpEyEj8cxoCxwXDk6ynYn8FattqgJJPgBMzAK98+/G337wQ8jUiEfqMuwfwpKq+fmkp7hZM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\n4DcIniGPXAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 936x576 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yxyNGMjOZ_WR",
"colab_type": "text"
},
"source": [
"###Distribution of car accidents per hour"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Y2sZEEEjZ91m",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 471
},
"outputId": "9a3b7f25-4bf2-4167-adfa-1d830902dd20"
},
"source": [
"# Number of accident per hour\n",
"accidents_hour = df.groupby(df['date'].dt.hour).count().date\n",
"\n",
"# plot accidents per hour\n",
"accidents_hour.plot(kind='bar',figsize=(12,7), color='orange', alpha=0.5)\n",
"\n",
"# title and x,y labels\n",
"plt.title('Accidents in Barcelona in 2017', fontsize=20)\n",
"plt.xlabel('Hour',fontsize=16)\n",
"plt.ylabel('Number of accidents',fontsize=16);"
],
"execution_count": 29,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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rWUBJ6t27t7Zt26YZM2bI399f06dPb+h2AQAAgDpp8MAdHR2txMTEKtvnzp1b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\npSMFVFN/AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 864x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yfDK6KJ2aFeu",
"colab_type": "text"
},
"source": [
"###Distribution of car accidents per day of the week and hour"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Q_luCIQfaCtl",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "0dc5bd66-ca0c-4c72-9d3f-1a6124ec3184"
},
"source": [
"# Number of accident per hour and day\n",
"accidents_hour_day = df.groupby([df['date'].dt.hour.rename('hour'),df['date'].dt.dayofweek.rename('day')]).count().date\n",
"\n",
"accidents_hour_day.unstack().plot(kind='barh', figsize=(16,26))\n",
"\n",
"# title and x,y labels\n",
"plt.legend(labels=[calendar.day_name[x] for x in range(0,7)],fontsize=16)\n",
"plt.title('Accidents in Barcelona in 2017',fontsize=20)\n",
"plt.xlabel('Number of accidents',fontsize=16)\n",
"plt.ylabel('Hour',fontsize=16);"
],
"execution_count": 49,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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zcyuUtJEiqVSqNLT4TVi3bh2mTJmCw4cPw87O7o0f73W96vmysrIqUztV2lNr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\n734Xq1evj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"text/plain": [
"<Figure size 1152x1872 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kYzOeTKRaL4U",
"colab_type": "text"
},
"source": [
"###Time analysis — conclusions\n",
"1. August presents the lowest number of car accidents 651 in 2017. The rest of the months present a number of accidents around 800–900.\n",
"2. The number of car accidents decrease on weekends.\n",
"3. The greater number of car accidents occurs from (8–9) and (12–20).\n",
"4. At night most of the accidents happen on weekends."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "E_bSlhC9lvQf",
"colab_type": "text"
},
"source": [
"##Type of accident analysis"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zytNezkwlyKP",
"colab_type": "text"
},
"source": [
"###Vehicles involved\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "xpJ7wpQsaIN8",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 743
},
"outputId": "f1fb8f9c-fef9-4b0e-e675-bccccd3a1c04"
},
"source": [
"# Compute the number of accidents according to the number of vehicles involved\n",
"vehicles_involved = df.vehicles_involved.value_counts()\n",
"# There is no car accident with 12 vehicles involved. We include 0 in our Serie for better visualization\n",
"vehicles_involved[12]=0\n",
"\n",
"vehicles_involved.sort_index(inplace=True)\n",
"\n",
"# Plot number of car accidents according to the number of vehicles involved\n",
"vehicles_involved.plot(kind='bar',figsize=(12,7), color='darkblue', alpha=0.5)\n",
"\n",
"# Title and x,y labels\n",
"plt.title('Accidents in Barcelona in 2017',fontsize=20)\n",
"plt.xlabel('Vehicles involved',fontsize=16)\n",
"plt.ylabel('Number of accidents',fontsize=16);\n",
"\n",
"# Print a label above each bar indicating the number of accidents\n",
"for index in vehicles_involved.index:\n",
" plt.text(x=index,y=vehicles_involved.loc[index],s=str(vehicles_involved.loc[index]),horizontalalignment='center')"
],
"execution_count": 53,
"outputs": [
{
"output_type": "stream",
"text": [
"<bound method Series.kurt of 0 5\n",
"1 2255\n",
"2 7028\n",
"3 797\n",
"4 165\n",
"5 48\n",
"6 14\n",
"7 6\n",
"8 2\n",
"9 5\n",
"10 2\n",
"11 1\n",
"12 0\n",
"13 1\n",
"14 1\n",
"Name: vehicles_involved, dtype: int64>\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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A4AYU4gAAAIAbUIgDAAAAbkAhDgAAALiBtbwPmJ2drffee0+//fabLBaLRowY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\nxAAq4iIiIiIiBvh/OXAZk4uDI6IAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 864x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ATNrsfZpl6OF",
"colab_type": "text"
},
"source": [
"###Mild — Serious injuries"
]
},
{
"cell_type": "code",
"metadata": {
"id": "DaxNzr_ul3WS",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 450
},
"outputId": "216ebb65-e542-4525-ce58-c0c8856e1f68"
},
"source": [
"# Serie with number of mild injuries and serious injuries\n",
"injuries = df[['mild_injuries','serious_injuries']].sum()\n",
"\n",
"# Pie plot with the percentage of victims with mild and serious injuries\n",
"injuries.plot(kind='pie',figsize=(7,7), colors=['green','red'], labels=None, autopct='%1.1f%%', fontsize=16)\n",
"\n",
"# Legend and title\n",
"plt.legend(labels=['Mild Injuries', 'Serious Injuries'])\n",
"plt.title('Injuries in 2017', fontsize=16)\n",
"plt.ylabel('')"
],
"execution_count": 32,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0, 0.5, '')"
]
},
"metadata": {
"tags": []
},
"execution_count": 32
},
{
"output_type": "display_data",
"data": {
"image/png": 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Hm4OtF7eKjlEjLKZENl3gVBYR1RxLmdKyiBL5K+Uv/HbrN9ExiMiCnL97Hmfv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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 504x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "nb6EZ8Ful-2R",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 517
},
"outputId": "e034fd87-17e6-467b-b7fc-1ee07a8f3a57"
},
"source": [
"# Number of serious injuries per day of the week\n",
"accidents_serious = df[df['serious_injuries']!=0].groupby(df['date'].dt.dayofweek).sum().serious_injuries\n",
"# Percentage of serious injuries per day of the week\n",
"rate_serious = accidents_serious/accidents_serious.sum()\n",
"\n",
"# Number of mild injuries per day of the week\n",
"accidents_mild = df[df['mild_injuries']!=0].groupby(df['date'].dt.dayofweek).sum().mild_injuries\n",
"# Percentage of mild injuries per day of the week\n",
"rate_mild = accidents_mild/accidents_mild.sum()\n",
"\n",
"# Combine both series as a dataframe in order to plot them as a side by side bar\n",
"rates = pd.DataFrame({'Serious injures':rate_serious,'Mild injuries':rate_mild})\n",
"rates.plot(kind='bar',figsize=(12,7),color=['red','green'],alpha=0.5)\n",
"\n",
"# Title and labels\n",
"plt.title('Rate of injuries type by day of the week',fontsize=20)\n",
"plt.xlabel('Day of the week',fontsize=16)\n",
"plt.ylabel('Percentage',fontsize=16)\n",
"plt.xticks(np.arange(7),[calendar.day_name[x] for x in range(0,7)]);"
],
"execution_count": 33,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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JRUREKCgoSJIUERGh6OhoSdL333+vzp07q127durRo4eOHz8uSerSpYtGjx6t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\nGgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 864x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "8HXqPn02mBJx",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 471
},
"outputId": "71fd19bf-b4f2-445a-8ee0-bf8ae30b365e"
},
"source": [
"# Number of serious injuries per hour\n",
"accidents_serious = df[df['serious_injuries']!=0].groupby(df['date'].dt.hour).sum().serious_injuries\n",
"# Percentage of serious injuries per day of the week\n",
"rate_serious = accidents_serious/accidents_serious.sum()\n",
"\n",
"# Number of mild injuries per hour\n",
"accidents_mild = df[df['mild_injuries']!=0].groupby(df['date'].dt.hour).sum().mild_injuries\n",
"# Percentage of mild injuries per hour\n",
"rate_mild = accidents_mild/accidents_mild.sum()\n",
"\n",
"# Combine both series as a dataframe in order to plot them as a side by side bar\n",
"rates = pd.DataFrame({'Serious injures':rate_serious,'Mild injuries':rate_mild})\n",
"rates.plot(kind='bar',figsize=(12,7),color=['red','green'],alpha=0.5)\n",
"\n",
"# Title and labels\n",
"plt.title('Rate of injuries type by day of the week',fontsize=20)\n",
"plt.xlabel('Hour',fontsize=16)\n",
"plt.ylabel('Percentage',fontsize=16)\n",
"plt.xticks(np.arange(24));"
],
"execution_count": 36,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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ge/fu6Nq1K/R6Pc6dO1cixyeffBI5OTm4ePEiunTpgokTJyIsLAz//Oc/cfv2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\noXwDAAAAhlC+AQAAAEMo3wAAAIAh/w9j3hT1JCTY2QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 864x504 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "93XbDoilmONm",
"colab_type": "text"
},
"source": [
"###Type of accident analysis — conclusions\n",
"1. In most accidents, 1,2, or 3 vehicles were involved. The police of Barcelona registered in 2017 car accidents were up to 14 vehicles where involved.\n",
"2. Most of the people injured in car accidents in 2017 suffered mild injuries (98%).\n",
"3. Accidents tend to be more severe during night, late-evening, and weekends."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "18S2Kd6AmVQA",
"colab_type": "text"
},
"source": [
"##Location analysis"
]
},
{
"cell_type": "code",
"metadata": {
"id": "FnasoLTZHIBe",
"colab_type": "code",
"outputId": "15d0329d-cf55-4fc2-8882-d5aea4f1f9e5",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 895
}
},
"source": [
"import folium\n",
"\n",
"# Define a map centered around Barcelona\n",
"barcelona_map = folium.Map(location=[41.38879, 2.15899], zoom_start=12)\n",
"\n",
"# Display the map\n",
"barcelona_map"
],
"execution_count": 37,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
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],
"text/plain": [
"<folium.folium.Map at 0x7fafe4dc4710>"
]
},
"metadata": {
"tags": []
},
"execution_count": 37
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "u_njqhFJHURy",
"colab_type": "code",
"outputId": "a2744f9a-1918-412a-87d7-0deb8f2817a3",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 895
}
},
"source": [
"# Create a map object of the city of Barcelona\n",
"barcelona_map= folium.Map(location=[41.38879, 2.15899], zoom_start=12)\n",
"\n",
"# Display only accidents where serious injuries where recorded\n",
"for lat, lng, label in zip(df.latitude, df.longitude, df.serious_injuries.astype(str)):\n",
" if label!='0':\n",
" folium.vector_layers.CircleMarker(\n",
" [lat, lng],\n",
" radius=3,\n",
" color='red',\n",
" fill=True,\n",
" popup=label,\n",
" fill_color='darkred',\n",
" fill_opacity=0.6\n",
" ).add_to(barcelona_map)\n",
" \n",
"# Show map\n",
"barcelona_map"
],
"execution_count": 39,
"outputs": [
{
"output_type": "execute_result",
"data": {
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<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
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    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
    <meta name="viewport" content="width=device-width,
        initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
    <style>#map_3c807e2fd4074eeca45735a8eda85acd {
        position: relative;
        width: 100.0%;
        height: 100.0%;
        left: 0.0%;
        top: 0.0%;
        }
    </style>
</head>
<body>    
    
    <div class="folium-map" id="map_3c807e2fd4074eeca45735a8eda85acd" ></div>
</body>
<script>    
    
    
        var bounds = null;
    

    var map_3c807e2fd4074eeca45735a8eda85acd = L.map(
        'map_3c807e2fd4074eeca45735a8eda85acd', {
        center: [41.38879, 2.15899],
        zoom: 12,
        maxBounds: bounds,
        layers: [],
        worldCopyJump: false,
        crs: L.CRS.EPSG3857,
        zoomControl: true,
        });


    
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        {
        "attribution": null,
        "detectRetina": false,
        "maxNativeZoom": 18,
        "maxZoom": 18,
        "minZoom": 0,
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        "tms": false
}).addTo(map_3c807e2fd4074eeca45735a8eda85acd);
    
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  "dashArray": null,
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  "fill": true,
  "fillColor": "darkred",
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  "stroke": true,
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}
                )
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            circle_marker_29075e1f98fe422199d71cb2212fce15.bindPopup(popup_585fc130ed774edcb76ff8fadfb7bde2)
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                {
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  "color": "red",
  "dashArray": null,
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  "fill": true,
  "fillColor": "darkred",
  "fillOpacity": 0.6,
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}
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                var html_f32030af1dd84f63815394ff4231547a = $(`<div id="html_f32030af1dd84f63815394ff4231547a" style="width: 100.0%; height: 100.0%;">1</div>`)[0];
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
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  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 3,
  "stroke": true,
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}
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "darkred",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 3,
  "stroke": true,
  "weight": 3
}
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  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "darkred",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 3,
  "stroke": true,
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}
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                var html_28f82f2e3c994e81ba283a4425a1ad7b = $(`<div id="html_28f82f2e3c994e81ba283a4425a1ad7b" style="width: 100.0%; height: 100.0%;">1</div>`)[0];
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            circle_marker_bde8aeb50eb74615b3ae0c32b6a572a8.bindPopup(popup_293ceca0629940e5ba04936ecf9beffd)
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                {
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  "fill": true,
  "fillColor": "darkred",
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}
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            });

            
                var html_5f059b3d67c147d880f4136594fdf8be = $(`<div id="html_5f059b3d67c147d880f4136594fdf8be" style="width: 100.0%; height: 100.0%;">1</div>`)[0];
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                {
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  "fill": true,
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}
                )
                .addTo(map_3c807e2fd4074eeca45735a8eda85acd);
            
    
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            circle_marker_29e79008f5574fcab44cea8df4173cbe.bindPopup(popup_e43d76028318459f8e83857953f41bf4)
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                {
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
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  "lineCap": "round",
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}
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            var circle_marker_2036b3395243404db707719fe54cd890 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "darkred",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 3,
  "stroke": true,
  "weight": 3
}
                )
                .addTo(map_3c807e2fd4074eeca45735a8eda85acd);
            
    
            var popup_a33217c22c094d5790f37a44fd058149 = L.popup({maxWidth: '100%'
            
            });

            
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            ;

            
        
    
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                [41.432949, 2.173531],
                {
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  "fill": true,
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  "lineCap": "round",
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  "opacity": 1.0,
  "radius": 3,
  "stroke": true,
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}
                )
                .addTo(map_3c807e2fd4074eeca45735a8eda85acd);
            
    
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            ;

            
        
    
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                [41.435258000000005, 2.192127],
                {
  "bubblingMouseEvents": true,
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  "dashOffset": null,
  "fill": true,
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  "radius": 3,
  "stroke": true,
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}
                )
                .addTo(map_3c807e2fd4074eeca45735a8eda85acd);
            
    
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            });

            
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  "dashOffset": null,
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                .addTo(map_3c807e2fd4074eeca45735a8eda85acd);
            
    
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7fafe4dcaa90>"
]
},
"metadata": {
"tags": []
},
"execution_count": 39
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "pnQLQwH8JqJm",
"colab_type": "code",
"outputId": "f4a7a4ce-95f9-4223-e57f-529b5b6c47fc",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 895
}
},
"source": [
"from folium import plugins\n",
"\n",
"# Create a map object of the city of Barcelona\n",
"barcelona_map= folium.Map(location=[41.38879, 2.15899], zoom_start=12)\n",
"\n",
"# Instantiate a mark cluster object for the car accidents\n",
"accidents = plugins.MarkerCluster().add_to(barcelona_map)\n",
"\n",
"# Display only accidents where serious injuries where recorded\n",
"for lat, lng, label in zip(df.latitude, df.longitude, df.serious_injuries.astype(str)):\n",
" if label!='0':\n",
" folium.Marker(\n",
" location=[lat, lng],\n",
" icon=None,\n",
" popup=label,\n",
" ).add_to(accidents)\n",
"\n",
"# Display map\n",
"barcelona_map"
],
"execution_count": 40,
"outputs": [
{
"output_type": "execute_result",
"data": {
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    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
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    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
    <meta name="viewport" content="width=device-width,
        initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
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        height: 100.0%;
        left: 0.0%;
        top: 0.0%;
        }
    </style>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css"/>
</head>
<body>    
    
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</body>
<script>    
    
    
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            });

            
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            });

            
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            var popup_adfdf61711624a4595cb6e04dec8a041 = L.popup({maxWidth: '100%'
            
            });

            
                var html_dac652c48f33470fac54746522f5c8f1 = $(`<div id="html_dac652c48f33470fac54746522f5c8f1" style="width: 100.0%; height: 100.0%;">1</div>`)[0];
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            marker_22a77f07514a4655be4f811f5baf5d96.bindPopup(popup_adfdf61711624a4595cb6e04dec8a041)
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        var marker_84fc8692c34543a2ba83b60432dd32a1 = L.marker(
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            {
                icon: new L.Icon.Default(),
                }
            ).addTo(marker_cluster_1cb3e3af5be44869aae3dd7ff2f1acee);
        
    
            var popup_348b7dc0aec54718aca0f74ef31f9501 = L.popup({maxWidth: '100%'
            
            });

            
                var html_b9fc5d269b1b47d68e3e38ebf7f13dd7 = $(`<div id="html_b9fc5d269b1b47d68e3e38ebf7f13dd7" style="width: 100.0%; height: 100.0%;">1</div>`)[0];
                popup_348b7dc0aec54718aca0f74ef31f9501.setContent(html_b9fc5d269b1b47d68e3e38ebf7f13dd7);
            

            marker_84fc8692c34543a2ba83b60432dd32a1.bindPopup(popup_348b7dc0aec54718aca0f74ef31f9501)
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        var marker_610245974e224be3a3055dc4ee1f
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