{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<small><small><i>\n",
    "All the IPython Notebooks in **[Python Seaborn Module](https://github.com/milaan9/12_Python_Seaborn_Module)** lecture series by **[Dr. Milaan Parmar](https://www.linkedin.com/in/milaanparmar/)** are available @ **[GitHub](https://github.com/milaan9)**\n",
    "</i></small></small>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/milaan9/12_Python_Seaborn_Module/blob/main/003_Matplotlib_vs_Seaborn.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib vs. Seaborn Plotting Code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this lecture we shall be comparing the lines of code we are required to write for a particular plot using Matplotlib and then Seaborn. This gets even more evident when trying to draw a statistical plot which is often the case in Data Science domain. And for this purpose today we shall take an example of a Linear Regression plot.\n",
    "\n",
    "But before we get in action, let me highlight another important aspect related to aesthetics of a Seaborn plot. If you have installed Seaborn version 0.20 or above (which certainly will be the case if you have installed lately or updated Seaborn anytime after June, 2017), then the plots don't seem to automatically separate the value representations. Let me show what I mean by plotting one such figure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:29:43.998956Z",
     "start_time": "2021-07-16T14:29:41.684041Z"
    }
   },
   "outputs": [],
   "source": [
    "# Importing required Libraries:\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:29:47.560443Z",
     "start_time": "2021-07-16T14:29:46.595611Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings # Current version of Seaborn generates a bunch of warnings that we'll ignore in this tutorial\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Creating a randomly distributed dataset:\n",
    "x = np.random.normal(size=100)\n",
    "sns.distplot(x, bins=20, kde=True, rug=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The warning above is harmless as it just shows that a particular argument (**`normed`**) has been deprecated in current version of Seaborn. But the thing to observe in this histogram is that each bar is closely attached to another and though this might be the latest enhancement by Seaborn, many professional still like the old-Matplotlib style of bar separation. Here we shall try to draw separators between each bar:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:29:57.423137Z",
     "start_time": "2021-07-16T14:29:57.072557Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(x, bins=20, kde=True, rug=True, hist_kws=dict(edgecolor='k', linewidth=0.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have each bar visibly separated and that gets more appealing to few professionals so if you want to, then now you know how to get this done. As far as the parameters are concerned, you don't really need to get bothered about that for now because I shall be covering these distribution plots in detail, in upcoming lectures."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another important change that happened with version 0.20 was in terms of limits of axes. Sounds confusing, right? Let me show you an example of what I mean:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:30:04.745818Z",
     "start_time": "2021-07-16T14:30:04.365942Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='age', ylabel='Density'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Loading up built-in dataset:\n",
    "titanic = sns.load_dataset(\"titanic\")\n",
    "\n",
    "# Creating a Distribution plot:\n",
    "sns.distplot(titanic.age.dropna(), hist_kws=dict(edgecolor='k', linewidth=0.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You may notice in above plot that X-axis in particular doesn't start with 0 at extreme left bottom. Many a times we would let it be this way but for some reason if we strictly want the plot to begin with 0, then it requires an additional line of code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:30:09.562173Z",
     "start_time": "2021-07-16T14:30:09.174484Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='age', ylabel='Density'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlim([0, 100])\n",
    "sns.distplot(titanic.age.dropna(), hist_kws=dict(edgecolor='k', linewidth=0.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The list passed defines the *lower* and *upper* limits of our **`X-axis`**. If required, similarly we may set limits for our Y-axis as well by just adding another line of code: **`plt.ylim([lower, upper])`**. That pretty much covers the ledft overs for us in terms of aesthetics of our plot. I shall keep guiding you through the lectures with as much plot customization as I can but in a general professional atmosphere, this shall be good enough to begin with.\n",
    "\n",
    "Now we shall look into our long awaited code length competition (Just kidding guys!). So, let us begin plotting our Matplotlib plot for Regression but before I begin, let me very clear on the point that we shall not delve into discussing Matplotlib code here because our sole agenda is only to observe the convenience we get with Seaborn. So here it is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:30:33.293859Z",
     "start_time": "2021-07-16T14:30:32.542890Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 30.0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating random datapoints:\n",
    "x = [1,2,3,4,5,6,7,8,9,10]\n",
    "y = [3,5,7,10,11,12,14,15,19,25] # Have tried to imbalance the fir\n",
    "\n",
    "fit = np.polyfit(x,y,1)\n",
    "# fit_fn is now a function which takes in x and returns an estimate for y\n",
    "fit_fn = np.poly1d(fit)\n",
    "plt.plot(x,y, 'yo', x, fit_fn(x), '--', color='C0')\n",
    "plt.xlabel(\"Values of x\")\n",
    "plt.ylabel(\"Values of y\")\n",
    "plt.xlim(0, 11)\n",
    "plt.ylim(0, 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Although it isn't a topic of our interest, still just for this example I shall illustrate how we could have mathematically computed factors like Slope, intercept, r-value (Correlation coefficient), p-value and Standard error of the estimate using **[Scipy](https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.stats.linregress.html)**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:30:45.757106Z",
     "start_time": "2021-07-16T14:30:45.433869Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=2.1151515151515152, intercept=0.4666666666666668, rvalue=0.9717076499418887, pvalue=2.7091468499697177e-06, stderr=0.18176766975113706, intercept_stderr=1.1278387305019275)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# stats model within SciPy is specifically for statistical plotting &\n",
    "# linregress computes a LSR (least-squares Regression) for two sets of measurements:\n",
    "from scipy.stats import linregress\n",
    "\n",
    "linregress(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[Linear Regression](http://data.library.virginia.edu/diagnostic-plots/)** plots in general Linear attempts to model the relationship between two variables (*x* and *y* here) by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable. \n",
    "For example, a Data Analyst might want to relate the weight of individuals to their height using a linear regression model. Or just a simple linear fit that we're trying to achieve with our example.\n",
    "\n",
    "Let's now get this done in Seaborn:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:31:00.384879Z",
     "start_time": "2021-07-16T14:30:59.505983Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Let us use one of our built-in dataset to achieve this:\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "\n",
    "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Both the plots on respective data points are correct but what differs is the control with a single line of code. Although I must agree that SciPy has enhanced a lot of features and things look good, but Seaborn always has that edge with it's visually appealing plots.\n",
    "\n",
    "Let me also give you a quick preview with different color for this plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:31:05.777400Z",
     "start_time": "2021-07-16T14:31:05.265690Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Let us use one of our built-in dataset to achieve this:\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "\n",
    "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips, color=\"r\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we move on to our next lecture, let me show a Seaborn plot against a Matplotlib plot which might be little complex at this stage but as you keep discussing more & more on our subject, at least the Seaborn segment of it will get clearer for you. Our sole agenda would be just to view the plot and not focus on the code associated. So let me present it without any further delay:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:31:17.690362Z",
     "start_time": "2021-07-16T14:31:10.881352Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x264e0145a90>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate Data:\n",
    "nobs, nvars = 100, 5\n",
    "data = np.random.random((nobs, nvars))\n",
    "columns = ['Variable {}'.format(i) for i in range(1, nvars + 1)]\n",
    "df = pd.DataFrame(data, columns=columns)\n",
    "\n",
    "# Making a simple pairplot using Seaborn:\n",
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let us try to do the same using Matplotlib and the difference in aesthetics should be a great morale booster for you to stay glued ahead for this statistical visualization bible with Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-16T14:31:26.490561Z",
     "start_time": "2021-07-16T14:31:21.627820Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generatig Data:\n",
    "nobs, nvars = 100, 5\n",
    "data = np.random.random((nobs, nvars))\n",
    "columns = ['Variable {}'.format(i) for i in range(1, nvars + 1)]\n",
    "\n",
    "# Making a pairplot:\n",
    "fig, axes = plt.subplots(ncols=nvars, nrows=nvars, sharex='col', sharey='row')\n",
    "for (i, j), ax in np.ndenumerate(axes):\n",
    "    if i == j:\n",
    "        ax.annotate(columns[i], (0.5, 0.5), xycoords='axes fraction',\n",
    "                    ha='center', va='center', size='large')\n",
    "    else:\n",
    "        ax.scatter(data[:,i], data[:,j], color='lightblue')\n",
    "    ax.locator_params(nbins=6, prune='both')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is quite a bit of difference that we can observe in both the plots above but also let me tell you that there are immense opportunities of customization in *Matplotlib* code (which even you may try on your own) but that would require more lines of code or say parameters. Here, Seaborn gives us flexibility to achieve the same with minimum number of lines of code and this *statistical representation efficiency* is what we shall be observing throughout this course.\n",
    "\n",
    "With this comparision been done, in our next lecture we shall be looking into **[Color Palettes](https://github.com/milaan9/12_Python_Seaborn_Module/blob/main/004_Seaborn_Color_Palettes.ipynb)** options that are available with Seaborn and backed by Matplotlib. There multiple tips and tricks regarding colors that I would keep sharing in addition to next lecture, when we plot various types of Seaborn figures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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