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Matplotlib 101 - Basic Introduction for Python Beginner
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matplotlib-101.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "6cbf01db",
"metadata": {},
"source": [
"# Matplotlib 101 - Basic Introduction"
]
},
{
"cell_type": "markdown",
"id": "f54b8f70",
"metadata": {},
"source": [
"---"
]
},
{
"cell_type": "markdown",
"id": "important-broad",
"metadata": {
"cell_id": "00002-94309874-e505-4511-a0d8-8dac57f2c441",
"deepnote_cell_type": "markdown"
},
"source": [
"## Import packages"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "positive-direction",
"metadata": {
"cell_id": "00004-9fa0fdf0-ab30-4904-a32b-aa27cda0ccc5",
"deepnote_cell_type": "code",
"deepnote_to_be_reexecuted": false,
"execution_millis": 2559354,
"execution_start": 1625709476752,
"scrolled": true,
"source_hash": "87b319d5"
},
"outputs": [],
"source": [
"# Dataframe manipulation\n",
"import pandas as pd\n",
"\n",
"# Matrices operation\n",
"import numpy as np\n",
"\n",
"# Data viz with matplotlib\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import style\n",
"import matplotlib.gridspec as gridspec\n",
"import matplotlib.patches as mpatches\n",
"\n",
"# Data viz with seaborn\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "liberal-substance",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"pandas 1.4.2\n",
"numpy 1.23.4\n",
"matplotlib 3.5.1\n",
"seaborn 0.11.2\n"
]
}
],
"source": [
"# Check packages' version\n",
"print('pandas ', pd.__version__)\n",
"print('numpy ', np.__version__)\n",
"print('matplotlib ', matplotlib.__version__)\n",
"print('seaborn ', sns.__version__)"
]
},
{
"cell_type": "markdown",
"id": "educated-router",
"metadata": {},
"source": [
"## Import data set"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "regulation-friendly",
"metadata": {},
"outputs": [],
"source": [
"# Load the data set into Python\n",
"df = pd.read_csv(filepath_or_buffer = 'data/WA_Fn-UseC_-Telco-Customer-Churn.csv', sep = ';')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "crazy-fountain",
"metadata": {},
"outputs": [
{
"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>customerID</th>\n",
" <th>gender</th>\n",
" <th>SeniorCitizen</th>\n",
" <th>Partner</th>\n",
" <th>Dependents</th>\n",
" <th>tenure</th>\n",
" <th>PhoneService</th>\n",
" <th>MultipleLines</th>\n",
" <th>InternetService</th>\n",
" <th>OnlineSecurity</th>\n",
" <th>...</th>\n",
" <th>DeviceProtection</th>\n",
" <th>TechSupport</th>\n",
" <th>StreamingTV</th>\n",
" <th>StreamingMovies</th>\n",
" <th>Contract</th>\n",
" <th>PaperlessBilling</th>\n",
" <th>PaymentMethod</th>\n",
" <th>MonthlyCharges</th>\n",
" <th>TotalCharges</th>\n",
" <th>Churn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>7590-VHVEG</td>\n",
" <td>Female</td>\n",
" <td>0</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>1</td>\n",
" <td>No</td>\n",
" <td>No phone service</td>\n",
" <td>DSL</td>\n",
" <td>No</td>\n",
" <td>...</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Month-to-month</td>\n",
" <td>Yes</td>\n",
" <td>Electronic check</td>\n",
" <td>29.85</td>\n",
" <td>29.85</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>5575-GNVDE</td>\n",
" <td>Male</td>\n",
" <td>0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>34</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>DSL</td>\n",
" <td>Yes</td>\n",
" <td>...</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>One year</td>\n",
" <td>No</td>\n",
" <td>Mailed check</td>\n",
" <td>56.95</td>\n",
" <td>1889.50</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3668-QPYBK</td>\n",
" <td>Male</td>\n",
" <td>0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>2</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>DSL</td>\n",
" <td>Yes</td>\n",
" <td>...</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Month-to-month</td>\n",
" <td>Yes</td>\n",
" <td>Mailed check</td>\n",
" <td>53.85</td>\n",
" <td>108.15</td>\n",
" <td>Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>7795-CFOCW</td>\n",
" <td>Male</td>\n",
" <td>0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>45</td>\n",
" <td>No</td>\n",
" <td>No phone service</td>\n",
" <td>DSL</td>\n",
" <td>Yes</td>\n",
" <td>...</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>One year</td>\n",
" <td>No</td>\n",
" <td>Bank transfer (automatic)</td>\n",
" <td>42.30</td>\n",
" <td>1840.75</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>9237-HQITU</td>\n",
" <td>Female</td>\n",
" <td>0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>2</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Fiber optic</td>\n",
" <td>No</td>\n",
" <td>...</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Month-to-month</td>\n",
" <td>Yes</td>\n",
" <td>Electronic check</td>\n",
" <td>70.70</td>\n",
" <td>151.65</td>\n",
" <td>Yes</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 21 columns</p>\n",
"</div>"
],
"text/plain": [
" customerID gender SeniorCitizen Partner Dependents tenure PhoneService \\\n",
"0 7590-VHVEG Female 0 Yes No 1 No \n",
"1 5575-GNVDE Male 0 No No 34 Yes \n",
"2 3668-QPYBK Male 0 No No 2 Yes \n",
"3 7795-CFOCW Male 0 No No 45 No \n",
"4 9237-HQITU Female 0 No No 2 Yes \n",
"\n",
" MultipleLines InternetService OnlineSecurity ... DeviceProtection \\\n",
"0 No phone service DSL No ... No \n",
"1 No DSL Yes ... Yes \n",
"2 No DSL Yes ... No \n",
"3 No phone service DSL Yes ... Yes \n",
"4 No Fiber optic No ... No \n",
"\n",
" TechSupport StreamingTV StreamingMovies Contract PaperlessBilling \\\n",
"0 No No No Month-to-month Yes \n",
"1 No No No One year No \n",
"2 No No No Month-to-month Yes \n",
"3 Yes No No One year No \n",
"4 No No No Month-to-month Yes \n",
"\n",
" PaymentMethod MonthlyCharges TotalCharges Churn \n",
"0 Electronic check 29.85 29.85 No \n",
"1 Mailed check 56.95 1889.50 No \n",
"2 Mailed check 53.85 108.15 Yes \n",
"3 Bank transfer (automatic) 42.30 1840.75 No \n",
"4 Electronic check 70.70 151.65 Yes \n",
"\n",
"[5 rows x 21 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Print top 5 rows\n",
"df.head(n = 5)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "moving-bristol",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 7043 entries, 0 to 7042\n",
"Data columns (total 21 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 customerID 7043 non-null object \n",
" 1 gender 7043 non-null object \n",
" 2 SeniorCitizen 7043 non-null int64 \n",
" 3 Partner 7043 non-null object \n",
" 4 Dependents 7043 non-null object \n",
" 5 tenure 7043 non-null int64 \n",
" 6 PhoneService 7043 non-null object \n",
" 7 MultipleLines 7043 non-null object \n",
" 8 InternetService 7043 non-null object \n",
" 9 OnlineSecurity 7043 non-null object \n",
" 10 OnlineBackup 7043 non-null object \n",
" 11 DeviceProtection 7043 non-null object \n",
" 12 TechSupport 7043 non-null object \n",
" 13 StreamingTV 7043 non-null object \n",
" 14 StreamingMovies 7043 non-null object \n",
" 15 Contract 7043 non-null object \n",
" 16 PaperlessBilling 7043 non-null object \n",
" 17 PaymentMethod 7043 non-null object \n",
" 18 MonthlyCharges 7043 non-null float64\n",
" 19 TotalCharges 7043 non-null float64\n",
" 20 Churn 7043 non-null object \n",
"dtypes: float64(2), int64(2), object(17)\n",
"memory usage: 1.1+ MB\n"
]
}
],
"source": [
"# Metadata\n",
"df.info()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "optimum-bunch",
"metadata": {},
"outputs": [],
"source": [
"# Change column types\n",
"df = df.astype({'SeniorCitizen': object})"
]
},
{
"cell_type": "markdown",
"id": "artificial-survival",
"metadata": {},
"source": [
"## Data preparation"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "premium-corporation",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"customerID 0\n",
"gender 0\n",
"SeniorCitizen 0\n",
"Partner 0\n",
"Dependents 0\n",
"tenure 0\n",
"PhoneService 0\n",
"MultipleLines 0\n",
"InternetService 0\n",
"OnlineSecurity 0\n",
"OnlineBackup 0\n",
"DeviceProtection 0\n",
"TechSupport 0\n",
"StreamingTV 0\n",
"StreamingMovies 0\n",
"Contract 0\n",
"PaperlessBilling 0\n",
"PaymentMethod 0\n",
"MonthlyCharges 0\n",
"TotalCharges 0\n",
"Churn 0\n",
"dtype: int64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Number of missing values in a data frame\n",
"df.isnull().sum()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "historic-logic",
"metadata": {},
"outputs": [
{
"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>tenure</th>\n",
" <th>MonthlyCharges</th>\n",
" <th>TotalCharges</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>7043.000000</td>\n",
" <td>7043.000000</td>\n",
" <td>7043.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>32.371149</td>\n",
" <td>64.761692</td>\n",
" <td>2279.734304</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>24.559481</td>\n",
" <td>30.090047</td>\n",
" <td>2266.794470</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>18.250000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>9.000000</td>\n",
" <td>35.500000</td>\n",
" <td>398.550000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>29.000000</td>\n",
" <td>70.350000</td>\n",
" <td>1394.550000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>55.000000</td>\n",
" <td>89.850000</td>\n",
" <td>3786.600000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>72.000000</td>\n",
" <td>118.750000</td>\n",
" <td>8684.800000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" tenure MonthlyCharges TotalCharges\n",
"count 7043.000000 7043.000000 7043.000000\n",
"mean 32.371149 64.761692 2279.734304\n",
"std 24.559481 30.090047 2266.794470\n",
"min 0.000000 18.250000 0.000000\n",
"25% 9.000000 35.500000 398.550000\n",
"50% 29.000000 70.350000 1394.550000\n",
"75% 55.000000 89.850000 3786.600000\n",
"max 72.000000 118.750000 8684.800000"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Summary statistics\n",
"df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "important-cinema",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7590-VHVEG 1\n",
"3791-LGQCY 1\n",
"6008-NAIXK 1\n",
"5956-YHHRX 1\n",
"5365-LLFYV 1\n",
" ..\n",
"9796-MVYXX 1\n",
"2637-FKFSY 1\n",
"1552-AAGRX 1\n",
"4304-TSPVK 1\n",
"3186-AJIEK 1\n",
"Name: customerID, Length: 7043, dtype: int64 \n",
"\n",
"Male 3555\n",
"Female 3488\n",
"Name: gender, dtype: int64 \n",
"\n",
"0 5901\n",
"1 1142\n",
"Name: SeniorCitizen, dtype: int64 \n",
"\n",
"No 3641\n",
"Yes 3402\n",
"Name: Partner, dtype: int64 \n",
"\n",
"No 4933\n",
"Yes 2110\n",
"Name: Dependents, dtype: int64 \n",
"\n",
"Yes 6361\n",
"No 682\n",
"Name: PhoneService, dtype: int64 \n",
"\n",
"No 3390\n",
"Yes 2971\n",
"No phone service 682\n",
"Name: MultipleLines, dtype: int64 \n",
"\n",
"Fiber optic 3096\n",
"DSL 2421\n",
"No 1526\n",
"Name: InternetService, dtype: int64 \n",
"\n",
"No 3498\n",
"Yes 2019\n",
"No internet service 1526\n",
"Name: OnlineSecurity, dtype: int64 \n",
"\n",
"No 3088\n",
"Yes 2429\n",
"No internet service 1526\n",
"Name: OnlineBackup, dtype: int64 \n",
"\n",
"No 3095\n",
"Yes 2422\n",
"No internet service 1526\n",
"Name: DeviceProtection, dtype: int64 \n",
"\n",
"No 3473\n",
"Yes 2044\n",
"No internet service 1526\n",
"Name: TechSupport, dtype: int64 \n",
"\n",
"No 2810\n",
"Yes 2707\n",
"No internet service 1526\n",
"Name: StreamingTV, dtype: int64 \n",
"\n",
"No 2785\n",
"Yes 2732\n",
"No internet service 1526\n",
"Name: StreamingMovies, dtype: int64 \n",
"\n",
"Month-to-month 3875\n",
"Two year 1695\n",
"One year 1473\n",
"Name: Contract, dtype: int64 \n",
"\n",
"Yes 4171\n",
"No 2872\n",
"Name: PaperlessBilling, dtype: int64 \n",
"\n",
"Electronic check 2365\n",
"Mailed check 1612\n",
"Bank transfer (automatic) 1544\n",
"Credit card (automatic) 1522\n",
"Name: PaymentMethod, dtype: int64 \n",
"\n",
"No 5174\n",
"Yes 1869\n",
"Name: Churn, dtype: int64 \n",
"\n"
]
}
],
"source": [
"# Check the unique values of categorical columns\n",
"for col in df.select_dtypes('object').columns:\n",
" print(df[str(col)].value_counts(), '\\n')"
]
},
{
"cell_type": "markdown",
"id": "cooperative-example",
"metadata": {},
"source": [
"## Basic data visualization with `matplotlib`"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "buried-terry",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Solarize_Light2', '_classic_test_patch', '_mpl-gallery', '_mpl-gallery-nogrid', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']\n"
]
}
],
"source": [
"# Matplotlib style\n",
"print(plt.style.available)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "sticky-passenger",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"RcParams({'_internal.classic_mode': True,\n",
" 'agg.path.chunksize': 0,\n",
" 'animation.bitrate': -1,\n",
" 'animation.codec': 'mpeg4',\n",
" 'animation.convert_args': [],\n",
" 'animation.convert_path': 'convert',\n",
" 'animation.ffmpeg_args': [],\n",
" 'animation.ffmpeg_path': 'ffmpeg',\n",
" 'animation.frame_format': 'png',\n",
" 'animation.html': 'none',\n",
" 'animation.writer': 'ffmpeg',\n",
" 'axes.autolimit_mode': 'round_numbers',\n",
" 'axes.axisbelow': False,\n",
" 'axes.edgecolor': 'k',\n",
" 'axes.facecolor': 'w',\n",
" 'axes.formatter.limits': [-7, 7],\n",
" 'axes.formatter.offset_threshold': 2,\n",
" 'axes.formatter.use_locale': False,\n",
" 'axes.formatter.use_mathtext': False,\n",
" 'axes.formatter.useoffset': True,\n",
" 'axes.grid': False,\n",
" 'axes.grid.axis': 'both',\n",
" 'axes.grid.which': 'major',\n",
" 'axes.labelcolor': 'k',\n",
" 'axes.labelpad': 5.0,\n",
" 'axes.labelsize': 'medium',\n",
" 'axes.labelweight': 'normal',\n",
" 'axes.linewidth': 1.0,\n",
" 'axes.prop_cycle': cycler('color', ['b', 'g', 'r', 'c', 'm', 'y', 'k']),\n",
" 'axes.spines.bottom': True,\n",
" 'axes.spines.left': True,\n",
" 'axes.spines.right': True,\n",
" 'axes.spines.top': True,\n",
" 'axes.titlepad': 5.0,\n",
" 'axes.titlesize': 'large',\n",
" 'axes.titleweight': 'normal',\n",
" 'axes.titley': 1.0,\n",
" 'axes.unicode_minus': True,\n",
" 'axes.xmargin': 0.0,\n",
" 'axes.ymargin': 0.0,\n",
" 'axes3d.grid': True,\n",
" 'boxplot.bootstrap': None,\n",
" 'boxplot.boxprops.color': 'b',\n",
" 'boxplot.boxprops.linestyle': '-',\n",
" 'boxplot.boxprops.linewidth': 1.0,\n",
" 'boxplot.capprops.color': 'k',\n",
" 'boxplot.capprops.linestyle': '-',\n",
" 'boxplot.capprops.linewidth': 1.0,\n",
" 'boxplot.flierprops.color': 'b',\n",
" 'boxplot.flierprops.linestyle': 'none',\n",
" 'boxplot.flierprops.linewidth': 1.0,\n",
" 'boxplot.flierprops.marker': '+',\n",
" 'boxplot.flierprops.markeredgecolor': 'k',\n",
" 'boxplot.flierprops.markerfacecolor': 'auto',\n",
" 'boxplot.flierprops.markersize': 6.0,\n",
" 'boxplot.meanline': False,\n",
" 'boxplot.meanprops.color': 'r',\n",
" 'boxplot.meanprops.linestyle': '-',\n",
" 'boxplot.meanprops.linewidth': 1.0,\n",
" 'boxplot.meanprops.marker': 's',\n",
" 'boxplot.meanprops.markeredgecolor': 'k',\n",
" 'boxplot.meanprops.markerfacecolor': 'r',\n",
" 'boxplot.meanprops.markersize': 6.0,\n",
" 'boxplot.medianprops.color': 'r',\n",
" 'boxplot.medianprops.linestyle': '-',\n",
" 'boxplot.medianprops.linewidth': 1.0,\n",
" 'boxplot.notch': False,\n",
" 'boxplot.patchartist': False,\n",
" 'boxplot.showbox': True,\n",
" 'boxplot.showcaps': True,\n",
" 'boxplot.showfliers': True,\n",
" 'boxplot.showmeans': False,\n",
" 'boxplot.vertical': True,\n",
" 'boxplot.whiskerprops.color': 'b',\n",
" 'boxplot.whiskerprops.linestyle': '--',\n",
" 'boxplot.whiskerprops.linewidth': 1.0,\n",
" 'boxplot.whiskers': 1.5,\n",
" 'contour.corner_mask': True,\n",
" 'contour.negative_linestyle': 'dashed',\n",
" 'date.autoformatter.day': '%b %d %Y',\n",
" 'date.autoformatter.hour': '%H:%M:%S',\n",
" 'date.autoformatter.microsecond': '%H:%M:%S.%f',\n",
" 'date.autoformatter.minute': '%H:%M:%S.%f',\n",
" 'date.autoformatter.month': '%b %Y',\n",
" 'date.autoformatter.second': '%H:%M:%S.%f',\n",
" 'date.autoformatter.year': '%Y',\n",
" 'date.converter': 'auto',\n",
" 'errorbar.capsize': 3.0,\n",
" 'figure.autolayout': False,\n",
" 'figure.dpi': 80.0,\n",
" 'figure.edgecolor': 'w',\n",
" 'figure.facecolor': '0.75',\n",
" 'figure.figsize': [8.0, 6.0],\n",
" 'figure.frameon': True,\n",
" 'figure.subplot.bottom': 0.1,\n",
" 'figure.subplot.hspace': 0.2,\n",
" 'figure.subplot.left': 0.125,\n",
" 'figure.subplot.right': 0.9,\n",
" 'figure.subplot.top': 0.9,\n",
" 'figure.subplot.wspace': 0.2,\n",
" 'figure.titlesize': 'medium',\n",
" 'figure.titleweight': 'normal',\n",
" 'font.cursive': ['Apple Chancery',\n",
" 'Textile',\n",
" 'Zapf Chancery',\n",
" 'Sand',\n",
" 'Script MT',\n",
" 'Felipa',\n",
" 'cursive'],\n",
" 'font.family': ['sans-serif'],\n",
" 'font.fantasy': ['Comic Sans MS',\n",
" 'Chicago',\n",
" 'Charcoal',\n",
" 'ImpactWestern',\n",
" 'Humor Sans',\n",
" 'fantasy'],\n",
" 'font.monospace': ['DejaVu Sans Mono',\n",
" 'Andale Mono',\n",
" 'Nimbus Mono L',\n",
" 'Courier New',\n",
" 'Courier',\n",
" 'Fixed',\n",
" 'Terminal',\n",
" 'monospace'],\n",
" 'font.sans-serif': ['DejaVu Sans',\n",
" 'Lucida Grande',\n",
" 'Verdana',\n",
" 'Geneva',\n",
" 'Lucid',\n",
" 'Arial',\n",
" 'Helvetica',\n",
" 'Avant Garde',\n",
" 'sans-serif'],\n",
" 'font.serif': ['DejaVu Serif',\n",
" 'New Century Schoolbook',\n",
" 'Century Schoolbook L',\n",
" 'Utopia',\n",
" 'ITC Bookman',\n",
" 'Bookman',\n",
" 'Nimbus Roman No9 L',\n",
" 'Times New Roman',\n",
" 'Times',\n",
" 'Palatino',\n",
" 'Charter',\n",
" 'serif'],\n",
" 'font.size': 12.0,\n",
" 'font.stretch': 'normal',\n",
" 'font.style': 'normal',\n",
" 'font.variant': 'normal',\n",
" 'font.weight': 'normal',\n",
" 'grid.alpha': 1.0,\n",
" 'grid.color': 'k',\n",
" 'grid.linestyle': ':',\n",
" 'grid.linewidth': 0.5,\n",
" 'hatch.color': 'k',\n",
" 'hatch.linewidth': 1.0,\n",
" 'hist.bins': 10,\n",
" 'image.aspect': 'equal',\n",
" 'image.cmap': 'jet',\n",
" 'image.composite_image': True,\n",
" 'image.interpolation': 'bilinear',\n",
" 'image.lut': 256,\n",
" 'image.origin': 'upper',\n",
" 'image.resample': False,\n",
" 'keymap.back': ['left', 'c', 'backspace'],\n",
" 'keymap.forward': ['right', 'v'],\n",
" 'keymap.fullscreen': ['f', 'ctrl+f'],\n",
" 'keymap.grid': ['g'],\n",
" 'keymap.home': ['h', 'r', 'home'],\n",
" 'keymap.pan': ['p'],\n",
" 'keymap.quit': ['ctrl+w', 'cmd+w'],\n",
" 'keymap.save': ['s', 'ctrl+s'],\n",
" 'keymap.xscale': ['k', 'L'],\n",
" 'keymap.yscale': ['l'],\n",
" 'keymap.zoom': ['o'],\n",
" 'legend.borderaxespad': 0.5,\n",
" 'legend.borderpad': 0.4,\n",
" 'legend.columnspacing': 2.0,\n",
" 'legend.edgecolor': 'inherit',\n",
" 'legend.facecolor': 'inherit',\n",
" 'legend.fancybox': False,\n",
" 'legend.fontsize': 'large',\n",
" 'legend.framealpha': None,\n",
" 'legend.frameon': True,\n",
" 'legend.handleheight': 0.7,\n",
" 'legend.handlelength': 2.0,\n",
" 'legend.handletextpad': 0.8,\n",
" 'legend.labelspacing': 0.5,\n",
" 'legend.loc': 'upper right',\n",
" 'legend.markerscale': 1.0,\n",
" 'legend.numpoints': 2,\n",
" 'legend.scatterpoints': 3,\n",
" 'legend.shadow': False,\n",
" 'lines.antialiased': True,\n",
" 'lines.color': 'b',\n",
" 'lines.dash_capstyle': <CapStyle.butt: 'butt'>,\n",
" 'lines.dash_joinstyle': <JoinStyle.round: 'round'>,\n",
" 'lines.dashdot_pattern': [3.0, 5.0, 1.0, 5.0],\n",
" 'lines.dashed_pattern': [6.0, 6.0],\n",
" 'lines.dotted_pattern': [1.0, 3.0],\n",
" 'lines.linestyle': '-',\n",
" 'lines.linewidth': 1.0,\n",
" 'lines.marker': 'None',\n",
" 'lines.markeredgecolor': 'auto',\n",
" 'lines.markeredgewidth': 0.5,\n",
" 'lines.markerfacecolor': 'auto',\n",
" 'lines.markersize': 6.0,\n",
" 'lines.scale_dashes': False,\n",
" 'lines.solid_capstyle': <CapStyle.projecting: 'projecting'>,\n",
" 'lines.solid_joinstyle': <JoinStyle.round: 'round'>,\n",
" 'markers.fillstyle': 'full',\n",
" 'mathtext.bf': 'serif:bold',\n",
" 'mathtext.cal': 'cursive',\n",
" 'mathtext.default': 'it',\n",
" 'mathtext.fallback': 'cm',\n",
" 'mathtext.fontset': 'cm',\n",
" 'mathtext.it': 'serif:italic',\n",
" 'mathtext.rm': 'serif',\n",
" 'mathtext.sf': 'sans\\\\-serif',\n",
" 'mathtext.tt': 'monospace',\n",
" 'patch.antialiased': True,\n",
" 'patch.edgecolor': 'k',\n",
" 'patch.facecolor': 'b',\n",
" 'patch.force_edgecolor': True,\n",
" 'patch.linewidth': 1.0,\n",
" 'path.simplify': True,\n",
" 'path.simplify_threshold': 0.1111111111111111,\n",
" 'path.sketch': None,\n",
" 'path.snap': True,\n",
" 'pdf.compression': 6,\n",
" 'pdf.fonttype': 3,\n",
" 'pdf.inheritcolor': False,\n",
" 'pdf.use14corefonts': False,\n",
" 'pgf.preamble': '',\n",
" 'pgf.rcfonts': True,\n",
" 'pgf.texsystem': 'xelatex',\n",
" 'polaraxes.grid': True,\n",
" 'ps.distiller.res': 6000,\n",
" 'ps.fonttype': 3,\n",
" 'ps.papersize': 'letter',\n",
" 'ps.useafm': False,\n",
" 'ps.usedistiller': None,\n",
" 'savefig.bbox': None,\n",
" 'savefig.dpi': 100.0,\n",
" 'savefig.edgecolor': 'w',\n",
" 'savefig.facecolor': 'w',\n",
" 'savefig.format': 'png',\n",
" 'savefig.orientation': 'portrait',\n",
" 'savefig.pad_inches': 0.1,\n",
" 'savefig.transparent': False,\n",
" 'scatter.marker': 'o',\n",
" 'svg.fonttype': 'path',\n",
" 'svg.image_inline': True,\n",
" 'text.antialiased': True,\n",
" 'text.color': 'k',\n",
" 'text.hinting': 'auto',\n",
" 'text.hinting_factor': 8,\n",
" 'text.latex.preamble': '',\n",
" 'text.usetex': False,\n",
" 'xtick.alignment': 'center',\n",
" 'xtick.bottom': True,\n",
" 'xtick.color': 'k',\n",
" 'xtick.direction': 'in',\n",
" 'xtick.labelsize': 'medium',\n",
" 'xtick.major.bottom': True,\n",
" 'xtick.major.pad': 4.0,\n",
" 'xtick.major.size': 4.0,\n",
" 'xtick.major.top': True,\n",
" 'xtick.major.width': 0.5,\n",
" 'xtick.minor.bottom': True,\n",
" 'xtick.minor.pad': 4.0,\n",
" 'xtick.minor.size': 2.0,\n",
" 'xtick.minor.top': True,\n",
" 'xtick.minor.visible': False,\n",
" 'xtick.minor.width': 0.5,\n",
" 'xtick.top': True,\n",
" 'ytick.alignment': 'center',\n",
" 'ytick.color': 'k',\n",
" 'ytick.direction': 'in',\n",
" 'ytick.labelsize': 'medium',\n",
" 'ytick.left': True,\n",
" 'ytick.major.left': True,\n",
" 'ytick.major.pad': 4.0,\n",
" 'ytick.major.right': True,\n",
" 'ytick.major.size': 4.0,\n",
" 'ytick.major.width': 0.5,\n",
" 'ytick.minor.left': True,\n",
" 'ytick.minor.pad': 4.0,\n",
" 'ytick.minor.right': True,\n",
" 'ytick.minor.size': 2.0,\n",
" 'ytick.minor.visible': False,\n",
" 'ytick.minor.width': 0.5,\n",
" 'ytick.right': True})"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Style settings\n",
"plt.style.library['classic']"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "7f3d12e3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"RcParams({'_internal.classic_mode': False,\n",
" 'agg.path.chunksize': 0,\n",
" 'animation.bitrate': -1,\n",
" 'animation.codec': 'h264',\n",
" 'animation.convert_args': [],\n",
" 'animation.convert_path': 'convert',\n",
" 'animation.embed_limit': 20.0,\n",
" 'animation.ffmpeg_args': [],\n",
" 'animation.ffmpeg_path': 'ffmpeg',\n",
" 'animation.frame_format': 'png',\n",
" 'animation.html': 'none',\n",
" 'animation.writer': 'ffmpeg',\n",
" 'axes.autolimit_mode': 'data',\n",
" 'axes.axisbelow': 'line',\n",
" 'axes.edgecolor': 'black',\n",
" 'axes.facecolor': 'white',\n",
" 'axes.formatter.limits': [-5, 6],\n",
" 'axes.formatter.min_exponent': 0,\n",
" 'axes.formatter.offset_threshold': 4,\n",
" 'axes.formatter.use_locale': False,\n",
" 'axes.formatter.use_mathtext': False,\n",
" 'axes.formatter.useoffset': True,\n",
" 'axes.grid': False,\n",
" 'axes.grid.axis': 'both',\n",
" 'axes.grid.which': 'major',\n",
" 'axes.labelcolor': 'black',\n",
" 'axes.labelpad': 4.0,\n",
" 'axes.labelsize': 'medium',\n",
" 'axes.labelweight': 'normal',\n",
" 'axes.linewidth': 0.8,\n",
" 'axes.prop_cycle': cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']),\n",
" 'axes.spines.bottom': True,\n",
" 'axes.spines.left': True,\n",
" 'axes.spines.right': True,\n",
" 'axes.spines.top': True,\n",
" 'axes.titlecolor': 'auto',\n",
" 'axes.titlelocation': 'center',\n",
" 'axes.titlepad': 6.0,\n",
" 'axes.titlesize': 'large',\n",
" 'axes.titleweight': 'normal',\n",
" 'axes.titley': None,\n",
" 'axes.unicode_minus': True,\n",
" 'axes.xmargin': 0.05,\n",
" 'axes.ymargin': 0.05,\n",
" 'axes.zmargin': 0.05,\n",
" 'axes3d.grid': True,\n",
" 'backend': 'module://matplotlib_inline.backend_inline',\n",
" 'backend_fallback': True,\n",
" 'boxplot.bootstrap': None,\n",
" 'boxplot.boxprops.color': 'black',\n",
" 'boxplot.boxprops.linestyle': '-',\n",
" 'boxplot.boxprops.linewidth': 1.0,\n",
" 'boxplot.capprops.color': 'black',\n",
" 'boxplot.capprops.linestyle': '-',\n",
" 'boxplot.capprops.linewidth': 1.0,\n",
" 'boxplot.flierprops.color': 'black',\n",
" 'boxplot.flierprops.linestyle': 'none',\n",
" 'boxplot.flierprops.linewidth': 1.0,\n",
" 'boxplot.flierprops.marker': 'o',\n",
" 'boxplot.flierprops.markeredgecolor': 'black',\n",
" 'boxplot.flierprops.markeredgewidth': 1.0,\n",
" 'boxplot.flierprops.markerfacecolor': 'none',\n",
" 'boxplot.flierprops.markersize': 6.0,\n",
" 'boxplot.meanline': False,\n",
" 'boxplot.meanprops.color': 'C2',\n",
" 'boxplot.meanprops.linestyle': '--',\n",
" 'boxplot.meanprops.linewidth': 1.0,\n",
" 'boxplot.meanprops.marker': '^',\n",
" 'boxplot.meanprops.markeredgecolor': 'C2',\n",
" 'boxplot.meanprops.markerfacecolor': 'C2',\n",
" 'boxplot.meanprops.markersize': 6.0,\n",
" 'boxplot.medianprops.color': 'C1',\n",
" 'boxplot.medianprops.linestyle': '-',\n",
" 'boxplot.medianprops.linewidth': 1.0,\n",
" 'boxplot.notch': False,\n",
" 'boxplot.patchartist': False,\n",
" 'boxplot.showbox': True,\n",
" 'boxplot.showcaps': True,\n",
" 'boxplot.showfliers': True,\n",
" 'boxplot.showmeans': False,\n",
" 'boxplot.vertical': True,\n",
" 'boxplot.whiskerprops.color': 'black',\n",
" 'boxplot.whiskerprops.linestyle': '-',\n",
" 'boxplot.whiskerprops.linewidth': 1.0,\n",
" 'boxplot.whiskers': 1.5,\n",
" 'contour.corner_mask': True,\n",
" 'contour.linewidth': None,\n",
" 'contour.negative_linestyle': 'dashed',\n",
" 'date.autoformatter.day': '%Y-%m-%d',\n",
" 'date.autoformatter.hour': '%m-%d %H',\n",
" 'date.autoformatter.microsecond': '%M:%S.%f',\n",
" 'date.autoformatter.minute': '%d %H:%M',\n",
" 'date.autoformatter.month': '%Y-%m',\n",
" 'date.autoformatter.second': '%H:%M:%S',\n",
" 'date.autoformatter.year': '%Y',\n",
" 'date.converter': 'auto',\n",
" 'date.epoch': '1970-01-01T00:00:00',\n",
" 'date.interval_multiples': True,\n",
" 'docstring.hardcopy': False,\n",
" 'errorbar.capsize': 0.0,\n",
" 'figure.autolayout': False,\n",
" 'figure.constrained_layout.h_pad': 0.04167,\n",
" 'figure.constrained_layout.hspace': 0.02,\n",
" 'figure.constrained_layout.use': False,\n",
" 'figure.constrained_layout.w_pad': 0.04167,\n",
" 'figure.constrained_layout.wspace': 0.02,\n",
" 'figure.dpi': 100.0,\n",
" 'figure.edgecolor': 'white',\n",
" 'figure.facecolor': 'white',\n",
" 'figure.figsize': [6.4, 4.8],\n",
" 'figure.frameon': True,\n",
" 'figure.max_open_warning': 20,\n",
" 'figure.raise_window': True,\n",
" 'figure.subplot.bottom': 0.11,\n",
" 'figure.subplot.hspace': 0.2,\n",
" 'figure.subplot.left': 0.125,\n",
" 'figure.subplot.right': 0.9,\n",
" 'figure.subplot.top': 0.88,\n",
" 'figure.subplot.wspace': 0.2,\n",
" 'figure.titlesize': 'large',\n",
" 'figure.titleweight': 'normal',\n",
" 'font.cursive': ['Apple Chancery',\n",
" 'Textile',\n",
" 'Zapf Chancery',\n",
" 'Sand',\n",
" 'Script MT',\n",
" 'Felipa',\n",
" 'Comic Neue',\n",
" 'Comic Sans MS',\n",
" 'cursive'],\n",
" 'font.family': ['sans-serif'],\n",
" 'font.fantasy': ['Chicago',\n",
" 'Charcoal',\n",
" 'Impact',\n",
" 'Western',\n",
" 'Humor Sans',\n",
" 'xkcd',\n",
" 'fantasy'],\n",
" 'font.monospace': ['DejaVu Sans Mono',\n",
" 'Bitstream Vera Sans Mono',\n",
" 'Computer Modern Typewriter',\n",
" 'Andale Mono',\n",
" 'Nimbus Mono L',\n",
" 'Courier New',\n",
" 'Courier',\n",
" 'Fixed',\n",
" 'Terminal',\n",
" 'monospace'],\n",
" 'font.sans-serif': ['DejaVu Sans',\n",
" 'Bitstream Vera Sans',\n",
" 'Computer Modern Sans Serif',\n",
" 'Lucida Grande',\n",
" 'Verdana',\n",
" 'Geneva',\n",
" 'Lucid',\n",
" 'Arial',\n",
" 'Helvetica',\n",
" 'Avant Garde',\n",
" 'sans-serif'],\n",
" 'font.serif': ['DejaVu Serif',\n",
" 'Bitstream Vera Serif',\n",
" 'Computer Modern Roman',\n",
" 'New Century Schoolbook',\n",
" 'Century Schoolbook L',\n",
" 'Utopia',\n",
" 'ITC Bookman',\n",
" 'Bookman',\n",
" 'Nimbus Roman No9 L',\n",
" 'Times New Roman',\n",
" 'Times',\n",
" 'Palatino',\n",
" 'Charter',\n",
" 'serif'],\n",
" 'font.size': 10.0,\n",
" 'font.stretch': 'normal',\n",
" 'font.style': 'normal',\n",
" 'font.variant': 'normal',\n",
" 'font.weight': 'normal',\n",
" 'grid.alpha': 1.0,\n",
" 'grid.color': '#b0b0b0',\n",
" 'grid.linestyle': '-',\n",
" 'grid.linewidth': 0.8,\n",
" 'hatch.color': 'black',\n",
" 'hatch.linewidth': 1.0,\n",
" 'hist.bins': 10,\n",
" 'image.aspect': 'equal',\n",
" 'image.cmap': 'viridis',\n",
" 'image.composite_image': True,\n",
" 'image.interpolation': 'antialiased',\n",
" 'image.lut': 256,\n",
" 'image.origin': 'upper',\n",
" 'image.resample': True,\n",
" 'interactive': True,\n",
" 'keymap.back': ['left', 'c', 'backspace', 'MouseButton.BACK'],\n",
" 'keymap.copy': ['ctrl+c', 'cmd+c'],\n",
" 'keymap.forward': ['right', 'v', 'MouseButton.FORWARD'],\n",
" 'keymap.fullscreen': ['f', 'ctrl+f'],\n",
" 'keymap.grid': ['g'],\n",
" 'keymap.grid_minor': ['G'],\n",
" 'keymap.help': ['f1'],\n",
" 'keymap.home': ['h', 'r', 'home'],\n",
" 'keymap.pan': ['p'],\n",
" 'keymap.quit': ['ctrl+w', 'cmd+w', 'q'],\n",
" 'keymap.quit_all': [],\n",
" 'keymap.save': ['s', 'ctrl+s'],\n",
" 'keymap.xscale': ['k', 'L'],\n",
" 'keymap.yscale': ['l'],\n",
" 'keymap.zoom': ['o'],\n",
" 'legend.borderaxespad': 0.5,\n",
" 'legend.borderpad': 0.4,\n",
" 'legend.columnspacing': 2.0,\n",
" 'legend.edgecolor': '0.8',\n",
" 'legend.facecolor': 'inherit',\n",
" 'legend.fancybox': True,\n",
" 'legend.fontsize': 'medium',\n",
" 'legend.framealpha': 0.8,\n",
" 'legend.frameon': True,\n",
" 'legend.handleheight': 0.7,\n",
" 'legend.handlelength': 2.0,\n",
" 'legend.handletextpad': 0.8,\n",
" 'legend.labelcolor': 'None',\n",
" 'legend.labelspacing': 0.5,\n",
" 'legend.loc': 'best',\n",
" 'legend.markerscale': 1.0,\n",
" 'legend.numpoints': 1,\n",
" 'legend.scatterpoints': 1,\n",
" 'legend.shadow': False,\n",
" 'legend.title_fontsize': None,\n",
" 'lines.antialiased': True,\n",
" 'lines.color': 'C0',\n",
" 'lines.dash_capstyle': <CapStyle.butt: 'butt'>,\n",
" 'lines.dash_joinstyle': <JoinStyle.round: 'round'>,\n",
" 'lines.dashdot_pattern': [6.4, 1.6, 1.0, 1.6],\n",
" 'lines.dashed_pattern': [3.7, 1.6],\n",
" 'lines.dotted_pattern': [1.0, 1.65],\n",
" 'lines.linestyle': '-',\n",
" 'lines.linewidth': 1.5,\n",
" 'lines.marker': 'None',\n",
" 'lines.markeredgecolor': 'auto',\n",
" 'lines.markeredgewidth': 1.0,\n",
" 'lines.markerfacecolor': 'auto',\n",
" 'lines.markersize': 6.0,\n",
" 'lines.scale_dashes': True,\n",
" 'lines.solid_capstyle': <CapStyle.projecting: 'projecting'>,\n",
" 'lines.solid_joinstyle': <JoinStyle.round: 'round'>,\n",
" 'markers.fillstyle': 'full',\n",
" 'mathtext.bf': 'sans:bold',\n",
" 'mathtext.cal': 'cursive',\n",
" 'mathtext.default': 'it',\n",
" 'mathtext.fallback': 'cm',\n",
" 'mathtext.fontset': 'dejavusans',\n",
" 'mathtext.it': 'sans:italic',\n",
" 'mathtext.rm': 'sans',\n",
" 'mathtext.sf': 'sans',\n",
" 'mathtext.tt': 'monospace',\n",
" 'patch.antialiased': True,\n",
" 'patch.edgecolor': 'black',\n",
" 'patch.facecolor': 'C0',\n",
" 'patch.force_edgecolor': False,\n",
" 'patch.linewidth': 1.0,\n",
" 'path.effects': [],\n",
" 'path.simplify': True,\n",
" 'path.simplify_threshold': 0.111111111111,\n",
" 'path.sketch': None,\n",
" 'path.snap': True,\n",
" 'pcolor.shading': 'auto',\n",
" 'pcolormesh.snap': True,\n",
" 'pdf.compression': 6,\n",
" 'pdf.fonttype': 3,\n",
" 'pdf.inheritcolor': False,\n",
" 'pdf.use14corefonts': False,\n",
" 'pgf.preamble': '',\n",
" 'pgf.rcfonts': True,\n",
" 'pgf.texsystem': 'xelatex',\n",
" 'polaraxes.grid': True,\n",
" 'ps.distiller.res': 6000,\n",
" 'ps.fonttype': 3,\n",
" 'ps.papersize': 'letter',\n",
" 'ps.useafm': False,\n",
" 'ps.usedistiller': None,\n",
" 'savefig.bbox': None,\n",
" 'savefig.directory': '~',\n",
" 'savefig.dpi': 'figure',\n",
" 'savefig.edgecolor': 'auto',\n",
" 'savefig.facecolor': 'auto',\n",
" 'savefig.format': 'png',\n",
" 'savefig.orientation': 'portrait',\n",
" 'savefig.pad_inches': 0.1,\n",
" 'savefig.transparent': False,\n",
" 'scatter.edgecolors': 'face',\n",
" 'scatter.marker': 'o',\n",
" 'svg.fonttype': 'path',\n",
" 'svg.hashsalt': None,\n",
" 'svg.image_inline': True,\n",
" 'text.antialiased': True,\n",
" 'text.color': 'black',\n",
" 'text.hinting': 'force_autohint',\n",
" 'text.hinting_factor': 8,\n",
" 'text.kerning_factor': 0,\n",
" 'text.latex.preamble': '',\n",
" 'text.usetex': False,\n",
" 'timezone': 'UTC',\n",
" 'tk.window_focus': False,\n",
" 'toolbar': 'toolbar2',\n",
" 'webagg.address': '127.0.0.1',\n",
" 'webagg.open_in_browser': True,\n",
" 'webagg.port': 8988,\n",
" 'webagg.port_retries': 50,\n",
" 'xaxis.labellocation': 'center',\n",
" 'xtick.alignment': 'center',\n",
" 'xtick.bottom': True,\n",
" 'xtick.color': 'black',\n",
" 'xtick.direction': 'out',\n",
" 'xtick.labelbottom': True,\n",
" 'xtick.labelcolor': 'inherit',\n",
" 'xtick.labelsize': 'medium',\n",
" 'xtick.labeltop': False,\n",
" 'xtick.major.bottom': True,\n",
" 'xtick.major.pad': 3.5,\n",
" 'xtick.major.size': 3.5,\n",
" 'xtick.major.top': True,\n",
" 'xtick.major.width': 0.8,\n",
" 'xtick.minor.bottom': True,\n",
" 'xtick.minor.pad': 3.4,\n",
" 'xtick.minor.size': 2.0,\n",
" 'xtick.minor.top': True,\n",
" 'xtick.minor.visible': False,\n",
" 'xtick.minor.width': 0.6,\n",
" 'xtick.top': False,\n",
" 'yaxis.labellocation': 'center',\n",
" 'ytick.alignment': 'center_baseline',\n",
" 'ytick.color': 'black',\n",
" 'ytick.direction': 'out',\n",
" 'ytick.labelcolor': 'inherit',\n",
" 'ytick.labelleft': True,\n",
" 'ytick.labelright': False,\n",
" 'ytick.labelsize': 'medium',\n",
" 'ytick.left': True,\n",
" 'ytick.major.left': True,\n",
" 'ytick.major.pad': 3.5,\n",
" 'ytick.major.right': True,\n",
" 'ytick.major.size': 3.5,\n",
" 'ytick.major.width': 0.8,\n",
" 'ytick.minor.left': True,\n",
" 'ytick.minor.pad': 3.4,\n",
" 'ytick.minor.right': True,\n",
" 'ytick.minor.size': 2.0,\n",
" 'ytick.minor.visible': False,\n",
" 'ytick.minor.width': 0.6,\n",
" 'ytick.right': False})"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Style settings (alternative)\n",
"plt.rcParams"
]
},
{
"cell_type": "markdown",
"id": "c90e7f52",
"metadata": {},
"source": [
"---"
]
},
{
"cell_type": "markdown",
"id": "ef2b1775",
"metadata": {},
"source": [
"## Iterations through visualization"
]
},
{
"cell_type": "markdown",
"id": "willing-encoding",
"metadata": {},
"source": [
"### 1st iteration - create a basic bar plot"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "cosmetic-beauty",
"metadata": {},
"outputs": [
{
"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>PaymentMethod</th>\n",
" <th>customerID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bank transfer (automatic)</td>\n",
" <td>1544</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Credit card (automatic)</td>\n",
" <td>1522</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Electronic check</td>\n",
" <td>2365</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Mailed check</td>\n",
" <td>1612</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PaymentMethod customerID\n",
"0 Bank transfer (automatic) 1544\n",
"1 Credit card (automatic) 1522\n",
"2 Electronic check 2365\n",
"3 Mailed check 1612"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Data aggregation\n",
"df_group_1 = df.groupby('PaymentMethod')[['customerID']].count().reset_index()\n",
"df_group_1"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "integrated-afghanistan",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" color = '#981220'\n",
");"
]
},
{
"cell_type": "markdown",
"id": "extra-serial",
"metadata": {},
"source": [
"### 2nd iteration - reorder the categories and do coloring"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "seasonal-scotland",
"metadata": {},
"outputs": [
{
"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>PaymentMethod</th>\n",
" <th>customerID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Electronic check</td>\n",
" <td>2365</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Mailed check</td>\n",
" <td>1612</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bank transfer (automatic)</td>\n",
" <td>1544</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Credit card (automatic)</td>\n",
" <td>1522</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PaymentMethod customerID\n",
"2 Electronic check 2365\n",
"3 Mailed check 1612\n",
"0 Bank transfer (automatic) 1544\n",
"1 Credit card (automatic) 1522"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Reorder the PaymentMethod based on total customer\n",
"df_group_1.sort_values(by = 'customerID', ascending = False, inplace = True)\n",
"df_group_1"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "structured-humanitarian",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"bar_fig = plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" width = 0.5\n",
");\n",
"\n",
"# Set colors\n",
"colors = ['#981220', '#80797C', '#80797C', '#80797C']\n",
"for i in range(len(colors)):\n",
" bar_fig[i].set_color(colors[i])"
]
},
{
"cell_type": "markdown",
"id": "sustained-permission",
"metadata": {},
"source": [
"### 3rd iteration - remove frames and reset the vertical ticks"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "brilliant-technology",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"bar_fig = plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" width = 0.5\n",
");\n",
"\n",
"# Set colors\n",
"colors = ['#981220', '#80797C', '#80797C', '#80797C']\n",
"for i in range(len(colors)):\n",
" bar_fig[i].set_color(colors[i])\n",
"\n",
"# Set y-Limit\n",
"plt.ylim([0, 3000]);\n",
"\n",
"# Set y-ticks\n",
"plt.yticks(\n",
" ticks = range(0, 3000, 500),\n",
" labels = range(0, 3000, 500)\n",
")\n",
"\n",
"# Remove right & top frames from matplotlib\n",
"plt.gca().spines['top'].set_visible(False)\n",
"plt.gca().spines['right'].set_visible(False)"
]
},
{
"cell_type": "markdown",
"id": "minimal-console",
"metadata": {},
"source": [
"### 4th iteration - add data labels and titles"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "personal-firmware",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"bar_fig = plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" width = 0.5\n",
");\n",
"\n",
"# Set colors\n",
"colors = ['#981220', '#80797C', '#80797C', '#80797C']\n",
"for i in range(len(colors)):\n",
" bar_fig[i].set_color(colors[i])\n",
"\n",
"# Set y-Limit\n",
"plt.ylim([0, 3000]);\n",
"\n",
"# Set y-ticks\n",
"plt.yticks(\n",
" ticks = range(0, 3000, 500),\n",
" labels = range(0, 3000, 500)\n",
")\n",
"\n",
"# Remove left, right and top frames\n",
"plt.gca().spines['top'].set_visible(False)\n",
"plt.gca().spines['right'].set_visible(False)\n",
"\n",
"# Add values\n",
"for bar in bar_fig:\n",
" plt.annotate(\n",
" text = bar.get_height(),\n",
" xy = (\n",
" bar.get_x() + 0.14,\n",
" bar.get_height() + 50),\n",
" fontsize = 12\n",
" )\n",
"\n",
"# Plot title\n",
"plt.title(\n",
" label = 'Total customer by payment method',\n",
" loc = 'left',\n",
" y = 1.1,\n",
" fontsize = 16,\n",
" fontweight = 'bold',\n",
" color = '#981220'\n",
");\n",
"# Plot subtitle\n",
"plt.suptitle(\n",
" t = 'Telecommunication Customer Churn',\n",
" x = 0.275,\n",
" y = 0.95,\n",
" fontsize = 12,\n",
" fontweight = None\n",
");\n",
"# Vertical axis label\n",
"plt.ylabel(\n",
" ylabel = 'Total customer',\n",
" fontsize = 12,\n",
" fontweight = 'bold',\n",
" color = '#2c2c2c'\n",
");\n",
"# Horizontal axis label\n",
"plt.xlabel(\n",
" xlabel = 'Payment method',\n",
" fontsize = 12,\n",
" fontweight = 'bold',\n",
" color = '#2c2c2c'\n",
");"
]
},
{
"cell_type": "markdown",
"id": "monthly-sphere",
"metadata": {},
"source": [
"### 5th iteration - add horizontal line"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "occupied-rugby",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"bar_fig = plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" width = 0.5\n",
");\n",
"\n",
"# Set colors\n",
"colors = ['#981220', '#80797C', '#80797C', '#80797C']\n",
"for i in range(len(colors)):\n",
" bar_fig[i].set_color(colors[i])\n",
"\n",
"# Set y-Limit\n",
"plt.ylim([0, 3000]);\n",
"\n",
"# Set y-ticks\n",
"plt.yticks(\n",
" ticks = range(0, 3000, 500),\n",
" labels = range(0, 3000, 500)\n",
")\n",
"\n",
"# Remove right & top frames from matplotlib\n",
"plt.gca().spines['top'].set_visible(False)\n",
"plt.gca().spines['right'].set_visible(False)\n",
"\n",
"# Add values\n",
"for bar in bar_fig:\n",
" plt.annotate(\n",
" text = bar.get_height(),\n",
" xy = (\n",
" bar.get_x() + 0.14,\n",
" bar.get_height() + 50),\n",
" fontsize = 12\n",
" )\n",
"\n",
"# Plot title\n",
"plt.title(\n",
" label = 'Total customer by payment method',\n",
" loc = 'left',\n",
" y = 1.1,\n",
" fontsize = 16,\n",
" fontweight = 'bold',\n",
" color = '#981220'\n",
");\n",
"# Plot subtitle\n",
"plt.suptitle(\n",
" t = 'Telecommunication Customer Churn',\n",
" x = 0.275,\n",
" y = 0.95,\n",
" fontsize = 12,\n",
" fontweight = None\n",
");\n",
"# Vertical axis label\n",
"plt.ylabel(\n",
" ylabel = 'Total customer',\n",
" fontsize = 12,\n",
" fontweight = 'bold',\n",
" color = '#2c2c2c'\n",
");\n",
"# Horizontal axis label\n",
"plt.xlabel(\n",
" xlabel = 'Payment method',\n",
" fontsize = 12,\n",
" fontweight = 'bold',\n",
" color = '#2c2c2c'\n",
");\n",
"\n",
"# Horizontal line\n",
"plt.axhline(\n",
" y = 2000,\n",
" color = '#2c2c2c',\n",
" linestyle = '--'\n",
");"
]
},
{
"cell_type": "markdown",
"id": "smoking-voltage",
"metadata": {},
"source": [
"### 6th iteration - add another data labels"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "conscious-consumption",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"bar_fig = plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" width = 0.5\n",
");\n",
"\n",
"# Set colors\n",
"colors = ['#981220', '#80797C', '#80797C', '#80797C']\n",
"for i in range(len(colors)):\n",
" bar_fig[i].set_color(colors[i])\n",
"\n",
"# Set y-Limit\n",
"plt.ylim([0, 3000]);\n",
"\n",
"# Set y-ticks\n",
"plt.yticks(\n",
" ticks = range(0, 3000, 500),\n",
" labels = range(0, 3000, 500)\n",
")\n",
"\n",
"# Remove right & top frames from matplotlib\n",
"plt.gca().spines['top'].set_visible(False)\n",
"plt.gca().spines['right'].set_visible(False)\n",
"\n",
"# Add values\n",
"for bar in bar_fig:\n",
" plt.annotate(\n",
" text = bar.get_height(),\n",
" xy = (\n",
" bar.get_x() + 0.14,\n",
" bar.get_height() + 50),\n",
" fontsize = 12\n",
" )\n",
"\n",
"# Plot title\n",
"plt.title(\n",
" label = 'Total customer by payment method',\n",
" loc = 'left',\n",
" y = 1.1,\n",
" fontsize = 16,\n",
" fontweight = 'bold',\n",
" color = '#981220'\n",
");\n",
"# Plot subtitle\n",
"plt.suptitle(\n",
" t = 'Telecommunication Customer Churn 2022',\n",
" x = 0.3,\n",
" y = 0.95,\n",
" fontsize = 12,\n",
" fontweight = None\n",
");\n",
"# Vertical axis label\n",
"plt.ylabel(\n",
" ylabel = 'Total customer',\n",
" fontsize = 12,\n",
" fontweight = 'bold',\n",
" color = '#2c2c2c'\n",
");\n",
"# Horizontal axis label\n",
"plt.xlabel(\n",
" xlabel = 'Payment method',\n",
" fontsize = 12,\n",
" fontweight = 'bold',\n",
" color = '#2c2c2c'\n",
");\n",
"\n",
"# Horizontal line\n",
"plt.axhline(\n",
" y = 2000,\n",
" color = '#2c2c2c',\n",
" linestyle = '--'\n",
");\n",
"\n",
"# Annotation 1\n",
"plt.annotate(\n",
" text = 'Q2 2022 KPI: 2,000 customers',\n",
" xy = (2.35, 2100),\n",
" fontsize = 10,\n",
" color = '#2c2c2c',\n",
");\n",
"\n",
"# Annotation 2\n",
"plt.annotate(\n",
" text = 'In Q2 2022, customers who purchased services\\nby electronic check surpass the KPI with 2,365\\ncustomers in total',\n",
" xy = (0, 2100),\n",
" xytext = (0.5, 2500),\n",
" fontsize = 10,\n",
" color = '#2c2c2c',\n",
" arrowprops = {\n",
" 'arrowstyle': '-',\n",
" 'color': '#2c2c2c',\n",
" 'linewidth': 1\n",
" }\n",
");"
]
},
{
"cell_type": "markdown",
"id": "eecf9879",
"metadata": {},
"source": [
"### 7th iteration - final touch"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "4cc32ec4",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Figure size\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"\n",
"# Bar plot\n",
"bar_fig = plt.bar(\n",
" x = 'PaymentMethod',\n",
" height = 'customerID',\n",
" data = df_group_1,\n",
" width = 0.5\n",
");\n",
"\n",
"# Set colors\n",
"colors = ['#981220', '#80797C', '#80797C', '#80797C']\n",
"for i in range(len(colors)):\n",
" bar_fig[i].set_color(colors[i])\n",
"\n",
"# Set y-Limit\n",
"plt.ylim([0, 3000]);\n",
"\n",
"# Set x-ticks\n",
"plt.xticks(\n",
" fontsize = 10,\n",
" rotation = 0\n",
")\n",
"\n",
"# Set y-ticks\n",
"plt.yticks(\n",
" ticks = [],\n",
" labels = []\n",
")\n",
"\n",
"# Remove left, right and top frames from matplotlib\n",
"plt.gca().spines['top'].set_visible(False)\n",
"plt.gca().spines['right'].set_visible(False)\n",
"plt.gca().spines['left'].set_visible(False)\n",
"\n",
"# Add values\n",
"for bar in bar_fig:\n",
" plt.annotate(\n",
" text = bar.get_height(),\n",
" xy = (\n",
" bar.get_x() + 0.14,\n",
" bar.get_height() + 50),\n",
" fontsize = 12\n",
" )\n",
"\n",
"# Plot title\n",
"plt.title(\n",
" label = 'Total customer by payment method',\n",
" loc = 'left',\n",
" y = 1.1,\n",
" fontsize = 16,\n",
" fontweight = 'bold',\n",
" color = '#981220'\n",
");\n",
"# Plot subtitle\n",
"plt.suptitle(\n",
" t = 'Telecommunication Customer Churn 2022',\n",
" x = 0.3,\n",
" y = 0.95,\n",
" fontsize = 12,\n",
" fontweight = None\n",
");\n",
"\n",
"# Horizontal line\n",
"plt.axhline(\n",
" y = 2000,\n",
" color = '#2c2c2c',\n",
" linestyle = '--'\n",
");\n",
"\n",
"# Annotation 1\n",
"plt.annotate(\n",
" text = 'Q2 2022 KPI\\n2,000 customers',\n",
" xy = (3.15, 2050),\n",
" fontsize = 9,\n",
" color = '#2c2c2c',\n",
" va = 'bottom',\n",
" ha = 'center'\n",
");\n",
"\n",
"# Annotation 2\n",
"plt.annotate(\n",
" text = \"In Q2 2022, customers who purchased services\\nby electronic check surpass the KPI with 2,365\\ncustomers in total. It's around 33.57% of total\\ncustomer in Q2 2022\",\n",
" xy = (0.35, 2400),\n",
" fontsize = 10,\n",
" color = '#2c2c2c',\n",
" va = 'bottom',\n",
" ha = 'left',\n",
" bbox = {\n",
" 'facecolor': '#FFFFFF',\n",
" 'alpha': 1,\n",
" 'edgecolor': '#2c2c2c',\n",
" 'pad': 7\n",
" }\n",
");"
]
},
{
"cell_type": "markdown",
"id": "built-ensemble",
"metadata": {},
"source": [
"## Save the figure as an image file"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "technological-insulin",
"metadata": {},
"outputs": [],
"source": [
"# Save figure\n",
"fig.savefig(\n",
" fname = 'img/yourfilename.jpg',\n",
" dpi = 200,\n",
" bbox_inches = 'tight'\n",
")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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