{ "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/017_Seaborn_FacetGrid_Plot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# FacetGrid" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Welcome to another lecture on *Seaborn*! Our journey began with assigning *style* and *color* to our plots as per our requirement. Then we moved on to *visualize distribution of a dataset*, and *Linear relationships*, and further we dived into topics covering *plots for Categorical data*. Every now and then, we've also roughly touched customization aspects using underlying Matplotlib code. That indeed is the end of the types of plots offered by Seaborn, and only leaves us with widening the scope of usage of all the plots that we have learnt till now.\n", "\n", "Our discussion in upcoming lectures is majorly going to focus on using the core of Seaborn, based on which, *Seaborn* allows us to plot these amazing figures, that we had been detailing previously. This ofcourse isn't going to be a brand new topic because every now & then I have used these in previous lectures but hereon we're going to specifically deal with each one of those.\n", "\n", "To introduce our new topic, i.e. **<span style=\"color:red\">Grids</span>**, we shall at first list the options available. Majorly, there are just two aspects to our discussion on *Grids* that includes:\n", "- **<span style=\"color:red\">FacetGrid</span>**\n", "- **<span style=\"color:red\">PairGrid</span>**\n", "Additionally, we also have a companion function for *PairGrid* to enhance execution speed of *PairGrid*, i.e.\n", "- **<span style=\"color:red\">Pairplot</span>**\n", "\n", "Our discourse shall detail each one of these topics in-length for better understanding. As we have already covered the statistical inference of each type of plot, our emphasis shall mostly be on scaling and parameter variety of known plots on these grids. So let us commence our journey with **[FacetGrid](http://seaborn.pydata.org/generated/seaborn.FacetGrid.html?highlight=facetgrid#seaborn.FacetGrid)** in this lecture." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## FacetGrid" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The term **Facet** here refers to *a dimension* or say, an *aspect* or a feature of a *multi-dimensional dataset*. This analysis is extremely useful when working with a multi-variate dataset which has a varied blend of datatypes, specially in *Data Science* & *Machine Learning* domain, where generally you would be dealing with huge datasets. If you're a *working pofessional*, you know what I am talking about. And if you're a *fresher* or a *student*, just to give you an idea, in this era of *Big Data*, an average *CSV file* (which is generally the most common form), or even a RDBMS size would vary from Gigabytes to Terabytes of data. If you are dealing with *Image/Video/Audio datasets*, then you may easily expect those to be in *hundreds of gigabyte*." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On the other hand, the term **Grid** refers to any *framework with spaced bars that are parallel to or cross each other, to form a series of squares or rectangles*. Statistically, these *Grids* are also used to represent and understand an entire *population* or just a *sample space* out of it. In general, these are pretty powerful tool for presentation, to describe our dataset and to study the *interrelationship*, or *correlation* between *each facet* of any *environment*." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Subplot grid for plotting conditional relationships.\n", "\n", "The FacetGrid is an object that links a Pandas DataFrame to a matplotlib figure with a particular structure.\n", "\n", "In particular, FacetGrid is used to draw plots with multiple Axes where each Axes shows the same relationship conditioned on different levels of some variable. It’s possible to condition on up to three variables by assigning variables to the rows and columns of the grid and using different colors for the plot elements.\n", "\n", "The general approach to plotting here is called “small multiples”, where the same kind of plot is repeated multiple times, and the specific use of small multiples to display the same relationship conditioned on one ore more other variables is often called a “trellis plot”.\n", "\n", "The basic workflow is to initialize the FacetGrid object with the dataset and the variables that are used to structure the grid. Then one or more plotting functions can be applied to each subset by calling **`FacetGrid.map()`** or **`FacetGrid.map_dataframe()`**. Finally, the plot can be tweaked with other methods to do things like change the axis labels, use different ticks, or add a legend. See the detailed code examples below for more information." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To kill our curiousity, let us plot a simple **<span style=\"color:red\">FacetGrid</span>** before continuing on with our discussion. And to do that, we shall once again quickly import our package dependencies and set the aesthetics for future use with built-in datasets." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:16.671209Z", "start_time": "2021-07-18T12:17:12.790389Z" } }, "outputs": [], "source": [ "# Importing intrinsic libraries:\n", "import numpy as np\n", "import pandas as pd\n", "np.random.seed(101)\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "%matplotlib inline\n", "sns.set(style=\"whitegrid\", palette=\"rocket\")\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "# Let us also get tableau colors we defined earlier:\n", "tableau_20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14), (255, 187, 120),\n", " (44, 160, 44), (152, 223, 138), (214, 39, 40), (255, 152, 150),\n", " (148, 103, 189), (197, 176, 213), (140, 86, 75), (196, 156, 148),\n", " (227, 119, 194), (247, 182, 210), (127, 127, 127), (199, 199, 199),\n", " (188, 189, 34), (219, 219, 141), (23, 190, 207), (158, 218, 229)]\n", "\n", "# Scaling above RGB values to [0, 1] range, which is Matplotlib acceptable format:\n", "for i in range(len(tableau_20)):\n", " r, g, b = tableau_20[i]\n", " tableau_20[i] = (r / 255., g / 255., b / 255.)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:16.823062Z", "start_time": "2021-07-18T12:17:16.702460Z" } }, "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>total_bill</th>\n", " <th>tip</th>\n", " <th>sex</th>\n", " <th>smoker</th>\n", " <th>day</th>\n", " <th>time</th>\n", " <th>size</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>16.99</td>\n", " <td>1.01</td>\n", " <td>Female</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>2</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>10.34</td>\n", " <td>1.66</td>\n", " <td>Male</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>21.01</td>\n", " <td>3.50</td>\n", " <td>Male</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>23.68</td>\n", " <td>3.31</td>\n", " <td>Male</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>2</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>24.59</td>\n", " <td>3.61</td>\n", " <td>Female</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>4</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " total_bill tip sex smoker day time size\n", "0 16.99 1.01 Female No Sun Dinner 2\n", "1 10.34 1.66 Male No Sun Dinner 3\n", "2 21.01 3.50 Male No Sun Dinner 3\n", "3 23.68 3.31 Male No Sun Dinner 2\n", "4 24.59 3.61 Female No Sun Dinner 4" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Loading built-in Tips dataset:\n", "tips = sns.load_dataset(\"tips\")\n", "tips.head()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:18.331346Z", "start_time": "2021-07-18T12:17:16.826970Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a2186f5940>" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 432x432 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Initialize a 2x2 grid of facets using the tips dataset:\n", "sns.set(style=\"ticks\", color_codes=True)\n", "sns.FacetGrid(tips, row='time', col='smoker')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:19.636998Z", "start_time": "2021-07-18T12:17:18.336233Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 432x432 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Draw a univariate plot on each facet:\n", "x = sns.FacetGrid(tips, col='time',row='smoker')\n", "x = x.map(plt.hist,\"total_bill\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:22.456799Z", "start_time": "2021-07-18T12:17:19.642862Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 432x432 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.arange(0,65,5)\n", "x = sns.FacetGrid(tips, col=\"time\", row=\"smoker\")\n", "x =x.map(plt.hist, \"total_bill\", bins=bins, color=\"g\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:24.289788Z", "start_time": "2021-07-18T12:17:22.481208Z" }, "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 432x432 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot a bivariate function on each facet:\n", "\n", "x = sns.FacetGrid(tips, col=\"time\", row=\"smoker\")\n", "x = x.map(plt.scatter, \"total_bill\", \"tip\", edgecolor=\"w\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:25.177472Z", "start_time": "2021-07-18T12:17:24.292718Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 489.475x216 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Assign one of the variables to the color of the plot elements:\n", "\n", "x = sns.FacetGrid(tips, col=\"time\", hue=\"smoker\")\n", "x = x.map(plt.scatter,\"total_bill\",\"tip\",edgecolor = \"w\")\n", "x =x.add_legend()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:26.320040Z", "start_time": "2021-07-18T12:17:25.184312Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a218de36a0>" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 777.475x360 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting a basic FacetGrid with Scatterplot representation:\n", "ax = sns.FacetGrid(tips, col=\"sex\", hue=\"smoker\", size=5)\n", "ax.map(plt.scatter, \"total_bill\", \"tip\", alpha=.6)\n", "ax.add_legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is a combined scatter representation of Tips dataset that we have seen earlier as well, where Total tip generated against Total Bill amount is drawn in accordance with their Gender and Smoking practice. With this we can conclude how **FacetGrid** helps us visualize distribution of a variable or the relationship between multiple variables separately within subsets of our dataset. Important to note here is that Seaborn FacetGrid can only support upto **3-Dimensional figures**, using `row`, `column` and `hue` dimensions of the grid for *Categorical* and *Discrete* variables within our dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let us now have a look at the *parameters* offered or supported by Seaborn for a **FacetGrid**:\n", "**`seaborn.FacetGrid(data, row=None, col=None, hue=None, col_wrap=None, sharex=True, sharey=True, size=3, aspect=1, palette=None, row_order=None, col_order=None, hue_order=None, hue_kws=None, dropna=True, legend_out=True, despine=True, margin_titles=False, xlim=None, ylim=None, subplot_kws=None, gridspec_kws=None`**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There seems to be few new parameters out here for us, so let us one-by-one understand their scope before we start experimenting with those on our plots:\n", "- We are well acquainted with mandatory **`data`**, **`row`**, **`col`** and **`hue`** parameters.\n", "- Next is **`col_wrap`** that defines the **width of our variable** selected as **`col`** dimension, so that the *column facets* can span multiple rows.\n", "- **`sharex`** helps us **draft dedicated Y-axis** for each sub-plot, if declared **`False`**. Same concept holds good for **`sharey`** as well.\n", "- **`size`** helps us determine the size of our grid-frame.\n", "- We may also declare **`hue_kws`** parameter that lets us **control other aesthetics** of our plot.\n", "- **`dropna`** drops all the **NULL variables** from the selected features; and **`legend_out`** places the Legend either inside or outside our plot, as we've already seen.\n", "- **`margin_titles`** fetch the **feature names** from our dataset; and **`xlim`** & **`ylim`** additionally offers Matplotlib style limitation to each of our axes on the grid.\n", "\n", "That pretty much seems to cover *intrinsic parameters* so let us now try to use them one-by-one with slight modifications:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let us begin by pulling the *Legend inside* our FacetGrid and *creating a Header* for our grid:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:27.469443Z", "start_time": "2021-07-18T12:17:26.325901Z" } }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0.98, 'Tip Collection based on Gender and Smoking')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 720x360 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = sns.FacetGrid(tips, col=\"sex\", hue=\"smoker\", size=5, legend_out=False)\n", "ax.map(plt.scatter, \"total_bill\", \"tip\", alpha=.6)\n", "ax.add_legend()\n", "\n", "plt.suptitle('Tip Collection based on Gender and Smoking', fontsize=11)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So declaring **`legend_out`** as **`False`** and creating a **Superhead title** using *Matplotlib* seems to be working great on our Grid. Customization on *Header size* gives us an add-on capability as well. Right now, we are going by default **`palette`** for **marker colors** which can be customized by setting to a different one. Let us try other parameters as well: " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Actually, before we jump further into utilization of other parameters, let me quickly take you behind the curtain of this plot. As visible, we assigned **`ax`** as a variable to our **FacetGrid** for creating a visualizaion figure, and then plotted a **Scatterplot** on top of it, before decorating further with a *Legend* and a *Super Title*. So when we initialized the assignment of **`ax`**, the grid actually gets created using backend *Matplotlib figure and axes*, though doesn't plot anything on top of it. This is when we call Scatterplot on our sample data, that in turn at the backend calls **`FacetGrid.map()`** function to map this grid to our Scatterplot. We intended to draw a linear relation plot, and thus entered multiple variable names, i.e. **`Total Bill`** and associated **`Tip`** to form *facets*, or dimensions of our grid." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:28.845404Z", "start_time": "2021-07-18T12:17:27.486045Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 720x360 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Change the size and aspect ratio of each facet:\n", "\n", "x = sns.FacetGrid(tips, col=\"day\", size=5, aspect=.5)\n", "x =x.map(plt.hist, \"total_bill\", bins=bins)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:29.678406Z", "start_time": "2021-07-18T12:17:28.848336Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x216 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Specify the order for plot elements:\n", "\n", "g = sns.FacetGrid(tips, col=\"smoker\", col_order=[\"Yes\", \"No\"])\n", "g = g.map(plt.hist, \"total_bill\", bins=bins, color=\"m\")" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:30.941578Z", "start_time": "2021-07-18T12:17:29.694519Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a218c77d30>" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 504.225x216 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Use a different color palette:\n", "\n", "kws = dict(s=50, linewidth=.5, edgecolor=\"w\")\n", "g =sns.FacetGrid(tips, col=\"sex\", hue=\"time\", palette=\"Set1\",\\\n", " hue_order=[\"Dinner\", \"Lunch\"]) \n", "\n", "g = g.map(plt.scatter, \"total_bill\", \"tip\", **kws)\n", "g.add_legend()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:32.160809Z", "start_time": "2021-07-18T12:17:30.945484Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a21896cac0>" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 504.225x216 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Use a dictionary mapping hue levels to colors:\n", "\n", "pal = dict(Lunch=\"seagreen\", Dinner=\"gray\")\n", "g = sns.FacetGrid(tips, col=\"sex\", hue=\"time\", palette=pal,\\\n", " hue_order=[\"Dinner\", \"Lunch\"])\n", "\n", "g = g.map(plt.scatter, \"total_bill\", \"tip\", **kws)\n", "g.add_legend()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:33.684716Z", "start_time": "2021-07-18T12:17:32.164710Z" } }, "outputs": [ { "data": { "image/png": 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FhWbNmhWI2gAAAAAgpHXaUGVlZSk1NVUVFRVyOByaNGmS+vfvH4jaAAAAACCkddpQSVKPHj00ZMgQSZJhGPrmm29c3lcFAAAAANGo04Zq3rx5evnll3XWWWfJMAxJksVi0ZYtW/xeHAAAAACEsk4bqvXr1+vDDz80+VHcAAAAABC5Ov2Uv1/84hdKSEgIRC0AAAAAEFY6vUNVWFiocePGKSMjQ1brz4dPnjzZr4UBAAAAQKjrtKF6/vnnFR8frx9//DEQ9QAAAABA2Oi0oWpqatKrr74aiFoAAAAAIKx0+h6qiy66SF9//XUgagEAAACAsNLpHaoDBw7o1ltv1QUXXKDY2Fjn9tLSUr8WBv8pLy+XJGVnZwe5EsC8FStWyGaz+Xzc+vp6SfLJJ5umpqZq4sSJXo8D+II3mfFlLtpDVhBqvP03xl+ZISuhqdOGatq0aYGoAwH03HPPSaKhQniz2Wza/tVOxcQl+nTcE80NkqTq+uM+GQcIFd5kxle56GhsIJR4+2+MPzJDVkKX24bq22+/Vf/+/XXmmWcGsh4A8FhMXKJ69Mvx6ZiNe8skyetxW8cBQonZzPgqFx2NDYQab/6N8UdmyErocttQLViwQM8995xuu+02nXfeeTIMw7mvqalJW7ZsCUiBAAAAABCq3DZUjz/+uBoaGtS/f3+tWrVKhmHIYrGopaVF48aNC2SNAAAAABCS3DZUDz/8sCoqKmSxWHTNNdc4t8fExOjGG28MSHEAAAAAEMrcNlQvvPCCJKm4uFjz5s0LWEEAAAAAEC46/TtUNFMAAAAA0L5OGyoAAAAAQPtoqAAAAADAJBoqAAAAADCJhgoAAAAATKKhAgAAAACTaKgAAAAAwCS3f4cKkev48ePBLgFRory8XJKUnZ0d5Ergazy3HWN+og/PeWAwz5Ejkp5LGqooZLfbg10CosT69eslRcb/LOGK57ZjzE/04TkPDOY5ckTSc8lL/gAAAADAJBoqAAAAADCJhgoAAAAATKKhAgAAAACTaKgAAAAAwCQaKgAAAAAwiYYKAAAAAEyioQIAAAAAk2ioAAAAAMAkGioAAAAAMMlvDdX+/fs1cOBA5eXlKS8vTzfeeKOKi4v1ww8/6IsvvtCjjz7qr0sDAACEnbq6OhUVFam+vr5L59lsNt1xxx3avXu3z8cGQpWnazoQa9+vd6h69eqlt99+W2+//bbWrl2rc889V1OnTtXll1+uOXPm+PPSAAAAYaWkpERfffWVSkpKunTewoUL1djYqIULF/p8bCBUebqmA7H2A/aSP4vFoilTpmjXrl36+9//rsLCQklSYWGhFixYoDvuuEPDhg3TBx98IEkqKirS7Nmzdeeddyo7O1tr1qyRJP3000+aOXOm8vPzlZeXp3feeUeS9MYbb6iwsFC5ubl66qmnAvWwAAAAvFZXV6eysjIZhqENGzZ4/Nt0m82mffv2SZKqqqravUtldmwgVHm6pgO19q1+GdWN2NhY9evXT+eee67L9paWFr322msqLy/XkiVLlJmZKUmqrq7WK6+8ov/973+66667NGbMGC1fvlyXXXaZHn/8cR09elQFBQUaNGiQJKmmpkbvvvuurFbXh3XkyBEdOXLEZVt1dbUfHykQXvyVkYaGBtXV1am4uNjrsU5ns9nksMf4fFxfcdibZbPZ/PLYQ4HNZlNycnKwywgIM/nw59o3K1QzEylZ8TYTJSUlcjgckiSHw6GSkhI9+OCDnZ53+l2phQsX6umnn/bJ2J4I9M9YgcpWKOYlUrLSypvMeLqm/bn2TxXQhko6eacqLi7OZdt1110nSUpLS1NDQ4Nz+7XXXiuLxaL09HTn9s2bN6u5udl5x6qxsVG7du2SJA0YMKBNMyVJK1eu1LJly/zwaIDIQEYA98gHAmHTpk2y2+2SJLvdro0bN3r0g1/r3alWVVVVPhvbE+QDweDpmvbn2j9VQBuq48ePa/fu3Tp06JDL9u7du0s62Wx1tt3hcOiJJ57QZZddJkn64YcfdPbZZ6u0tLRNo9Zq/PjxGj16tMu26upqjR071rsHBEQIf2UkMTFRiYmJmjdvnlfjtKe4uFg7bDU+H9dXulnjlJra2y+PPRREym9IPWEmH/5c+2aFamYiJSveZmLo0KFav3697Ha7rFarsrKyPDqvb9++Lk3VhRde6LOxPRHon7ECla1QzEukZKWVN5nxdE37c+2fKmDvoXI4HFq6dKkGDRrUbtg9dfXVV+vVV1+VJB08eFCjRo3SgQMHOjwnISFBffr0cfkvJSXFdA1ApCEjgHvkA4FQUFCgbt1O/ljWrVs3FRQUeHTe9OnTO/zem7E9QT4QDJ6uaX+u/VP5taE6ePCg82PT8/LyVFNT4/UHRkyePFnNzc26+eabNX78eM2YMcOrBg0AACDYkpOTlZOTI4vFohtuuEFJSUkenZeamqq+fftKOnl36qKLLvLZ2ECo8nRNB2rt++0lf3369NH27dvb3ZeRkaGMjAxJ0qpVq1zOKS8vlyTNnz/f5ZydO3dKkuLj49v9WND8/Hzl5+f7pHYAAIBAKygoUFVVVZd/iz59+nQVFxe3e3fK27GBUOXpmg7E2g/4h1IAAACgreTk5Da/UPZEamqqXnvtNb+MDYQqT9d0INZ+wN5DBQAAAACRhoYKAAAAAEyioQIAAAAAk2ioAAAAAMAkGioAAAAAMImGCgAAAABMoqECAAAAAJNoqAAAAADAJP6wbxSyWnnaERjDhg0LdgnwE57bjjE/0YfnPDCY58gRSc8lP1lHodjY2GCXgCiRnZ0d7BLgJzy3HWN+og/PeWAwz5Ejkp5LXvIHAAAAACbRUAEAAACASTRUAAAAAGASDRUAAAAAmERDBQAAAAAm0VABAAAAgEk0VAAAAABgEg0VAAAAAJhEQwUAAAAAJtFQAQAAAIBJNFQAAAAAYJI12AUAgFknmhvUuLfM52NK8nrck+P09roewJfMZsZXuXA/NllB6PHm3xh/ZIashC4aqih0//33B7sEwGupqal+Gbe+PlaSlJSU5OVIvf1WI2CGN+vRd7loD1lB6PF2TfonM2QlVNFQRaHs7OxglwB4beLEicEuAQgrZAbwHHlBV/AeKgAAAAAwiYYKAAAAAEyioQIAAAAAk2ioAAAAAMCkqP1QihMnTkiSqqurg1wJ4HspKSmyWr2LNxlBpCIfgHvkA3DPXT6itqGqra2VJI0dOzbIlQC+V1ZWpj59+ng1BhlBpCIfgHvkA3DPXT4shmEYQagn6Jqbm7V9+3b17NlTMTExwS4nqKqrqzV27Fi9/PLLSklJCXY5ISHc58QXv2EkIyeF+1rwh3CfE/LhO+G+Fvwh3OeEfPhWuK8HfwjnOeEO1Wni4uJ01VVXBbuMkJKSkuL1b6UiTTTPCRlxFc1rwZ1onhPy4Sqa14I70Twn5KOtaF4P7kTSnPChFAAAAABgEg0VAAAAAJhEQwUAAAAAJtFQQQkJCZo8ebISEhKCXUrIYE7QirXQFnOCVqyFtpgTnIr10FYkzknUfsofAAAAAHiLO1QAAAAAYBINFQAAAACYREMVhZYtW6aRI0dq5MiRWrBggSRp8+bNys3N1fDhw7Vo0aIgVxg8jz/+uIqKiiQxJ9GKfLhHPiCRkY6QEZAP9yI6HwaiSkVFhXHHHXcYx44dM44fP27cddddRmlpqZGZmWlUVVUZLS0txj333GNs2rQp2KUG3ObNm42MjAxj5syZRlNTE3MShciHe+QDhkFGOkJGQD7ci/R8cIcqyvTs2VNFRUWKjY3VGWecof79+2vPnj3q16+f+vbtK6vVqtzcXK1duzbYpQZUQ0ODFi1apAceeECS9Pnnn0f9nEQj8tE+8oFWZKR9ZAQS+XAnGvJBQxVl0tLSNHjwYEnSnj179N5778lisahnz57OY3r16qWampogVRgcf/nLX/TQQw85P8Lz4MGDUT8n0Yh8tI98oBUZaR8ZgUQ+3ImGfNBQRaldu3bpnnvu0SOPPKK+ffvKYrE49xmG4fJ9pFu9erXOO+88XXPNNc5tDocjquck2pGPn5EPtIeM/IyM4HTk42fRkg9rsAtA4H3yySeaOnWq/vSnP2nkyJH66KOPVFtb69xfW1urXr16BbHCwHr33XdVW1urvLw8HT58WI2Njfruu+8UExPjPCba5iSakQ9X5AOnIyOuyAhORT5cRU0+gvf2LQTD999/b2RkZBibN292bmtubjauv/56Y8+ePYbdbjcmTJhgvPvuu0GsMnjWrFljzJw5kzmJUuSjY+QDZKRjZCS6kY+ORXI+uEMVZV544QUdO3ZM8+fPd24rKCjQ/PnzNWXKFB07dkyZmZkaMWJEEKsMvu7duzMnUYh8eIZ8RC8y4hkyEp3Ih2ciMR8WwzCMYBcBAAAAAOGID6UAAAAAAJNoqAAAAADAJBoqAAAAADCJhgoAAAAATKKhAgAAAACTaKgAAAAAwCQaKrRxzz33qK6uzutjKisrdfPNN3d6vUsuuaTdscrKyjR79mxJUmFhodauXav9+/friiuu6HRMwJ/ICOAe+QDcIx+RiT/sizYqKip8coy3cnJylJOT4/frAF1FRgD3yAfgHvmITNyhgovi4mJJ0vjx4/XRRx+psLBQubm5GjVqlN566602xxw4cEAbN25UQUGB8vPzNXToUC1evLjL1128eLFGjx6tvLw8bdy4UZL0xhtv6P777/fJ4wJ8hYwA7pEPwD3yEcEM4DTp6enGoUOHjJycHGPdunWGYRhGdXW1cd111xn//e9/XY5xOBzGuHHjjN27dzuP++Uvf2kcOnTI+M9//mOMHDnSo+s999xzhmEYxs6dO40hQ4YYhw4dMtasWWPcd999hmEYxrhx44z33nvP2LdvnzF48GA/PGrAc2QEcI98AO6Rj8jES/7Qrm+//VbHjh3T8OHDJUm9e/fW8OHD9eGHH7q8vtZisejZZ5/Vpk2b9M477+jbb7+VYRhqamrq0vXuvPNOSVJ6err69++vbdu2+e7BAH5ARgD3yAfgHvmIPLzkD+2yWCyyWCwu2wzDkN1ud9nW2Nio0aNH68svv9SAAQP0yCOPyGq1yjCMLl2vW7efl6LD4ZDVSq+P0EZGAPfIB+Ae+Yg8NFRoIyYmRhdccIGsVqvef/99SVJNTY3WrVun3/72t85j7Ha79u7dq6NHj+qPf/yjsrOzVVlZqePHj8vhcHTpmm+++aYk6csvv1RVVZUGDRrk2wcF+BAZAdwjH4B75CMy0aKijREjRugPf/iDnnnmGc2ePVtLly7ViRMnNGnSJF199dXOYwoLC7VkyRINHTpUN910k2JjY5Wenq6LL75Ye/fuVWxsrMfX3Ldvn2655RZZLBY99dRTSkxM9NOjA7xHRgD3yAfgHvmITBajq/cNAQAAAACSuEOFAPjb3/6m0tLSdvdNmDBBo0aNCnBFQGghI4B75ANwj3yEBu5QAQAAAIBJfCgFAAAAAJhEQwUAAAAAJtFQAQAAAIBJNFQAAAAAYBINFQAAAACY9H8C/409wxSpJQAAAABJRU5ErkJggg==\n", "text/plain": [ "<Figure size 864x216 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# FacetGrid with boxplot\n", "x = sns.FacetGrid(tips,col= 'day')\n", "x = x.map(sns.boxplot,\"total_bill\",\"time\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Also important to note is the use the **[matplotlib.pyplot.gca()](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.gca.html)** function, if required to *set the current axes* on our Grid. This shall fetch the current Axes instance on our current figure matching the given keyword arguments or params, & if unavailable, it shall even create one." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:33.730614Z", "start_time": "2021-07-18T12:17:33.697898Z" } }, "outputs": [], "source": [ "# Let us create a dummy DataFrame:\n", "football = pd.DataFrame({\n", " \"Wins\": [76, 64, 38, 78, 63, 45, 32, 46, 13, 40, 59, 80],\n", " \"Loss\": [55, 67, 70, 56, 59, 69, 72, 24, 45, 21, 58, 22],\n", " \"Team\": [\"Arsenal\"] * 4 + [\"Liverpool\"] * 4 + [\"Chelsea\"] * 4,\n", " \"Year\": [2015, 2016, 2017, 2018] * 3})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before I begin illustration using this DataFrame, on a lighter note, I would add a disclosure that this is a dummy dataset and holds no resemblance whatsoever to actual records of respective Soccer clubs. So if you're one among those die-hard fans of any of these clubs, kindly excuse me if the numbers don't tally, as they are all fabricated.\n", "\n", "Here, **football** is kind of a *Time-series Pandas DataFrame* that in entirety reflects 4 features, where **`Wins`** and **`Loss`** variables represent the quarterly Scorecard of three soccer **`Teams`** for last four **`Years`**, from 2015 to 2018. Let us check how this DataFrame looks like:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:33.821921Z", "start_time": "2021-07-18T12:17:33.733055Z" } }, "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>Wins</th>\n", " <th>Loss</th>\n", " <th>Team</th>\n", " <th>Year</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>76</td>\n", " <td>55</td>\n", " <td>Arsenal</td>\n", " <td>2015</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>64</td>\n", " <td>67</td>\n", " <td>Arsenal</td>\n", " <td>2016</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>38</td>\n", " <td>70</td>\n", " <td>Arsenal</td>\n", " <td>2017</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>78</td>\n", " <td>56</td>\n", " <td>Arsenal</td>\n", " <td>2018</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>63</td>\n", " <td>59</td>\n", " <td>Liverpool</td>\n", " <td>2015</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>45</td>\n", " <td>69</td>\n", " <td>Liverpool</td>\n", " <td>2016</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>32</td>\n", " <td>72</td>\n", " <td>Liverpool</td>\n", " <td>2017</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>46</td>\n", " <td>24</td>\n", " <td>Liverpool</td>\n", " <td>2018</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>13</td>\n", " <td>45</td>\n", " <td>Chelsea</td>\n", " <td>2015</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>40</td>\n", " <td>21</td>\n", " <td>Chelsea</td>\n", " <td>2016</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>59</td>\n", " <td>58</td>\n", " <td>Chelsea</td>\n", " <td>2017</td>\n", " </tr>\n", " <tr>\n", " <th>11</th>\n", " <td>80</td>\n", " <td>22</td>\n", " <td>Chelsea</td>\n", " <td>2018</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Wins Loss Team Year\n", "0 76 55 Arsenal 2015\n", "1 64 67 Arsenal 2016\n", "2 38 70 Arsenal 2017\n", "3 78 56 Arsenal 2018\n", "4 63 59 Liverpool 2015\n", "5 45 69 Liverpool 2016\n", "6 32 72 Liverpool 2017\n", "7 46 24 Liverpool 2018\n", "8 13 45 Chelsea 2015\n", "9 40 21 Chelsea 2016\n", "10 59 58 Chelsea 2017\n", "11 80 22 Chelsea 2018" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "football" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This looks pretty good for our purpose so now let us initialize our FacetGrid on top of it and try to obtain a time-indexed with further plotting. In production environment, to keep our solution scalable, this is generally done by defining a function for data manipulation so we shall try that in this example:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:35.795534Z", "start_time": "2021-07-18T12:17:33.828758Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a21a1a7310>" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x360 with 6 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Defining a customizable function to be precise with our requirements & shall discuss it a little later:\n", "# We shall be using a new type of plot here that I shall discuss in detail later on.\n", "def football_plot(data, color):\n", " sns.heatmap(data[[\"Wins\", \"Loss\"]])\n", "\n", "# 'margin_titles' won't necessarily guarantee desired results so better to be cautious:\n", "ax = sns.FacetGrid(football, col=\"Team\", size=5, margin_titles=True)\n", "ax.map_dataframe(football_plot)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:37.003042Z", "start_time": "2021-07-18T12:17:35.798464Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a21a492c70>" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x360 with 3 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = sns.FacetGrid(football, col=\"Team\", size=5)\n", "ax.map(sns.kdeplot, \"Wins\", \"Year\", hist=True, lw=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As visible, **Heatmap** plots rectangular boxes for data points as a color-encoded matrix, and this is a topic we shall be discussing in detail in another Lecture but for now, I just wanted you to have a preview of it, and hence used it on top of our **FacetGrid**. Another good thing to know with *FacetGrid* is **gridspec** module which allows Matplotlib params to be passed for drawing attention to a particular facet by increasing its size. To better understand, let us try to use this module now:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:38.138773Z", "start_time": "2021-07-18T12:17:37.006459Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a218d2d6a0>" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1512x504 with 3 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Loading built-in Titanic Dataset:\n", "titanic = sns.load_dataset(\"titanic\")\n", "\n", "# Assigning reformed `deck` column:\n", "titanic = titanic.assign(deck=titanic.deck.astype(object)).sort_values(\"deck\")\n", "\n", "# Creating Grid and Plot:\n", "ax = sns.FacetGrid(titanic, col=\"class\", sharex=False, size=7,\n", " gridspec_kws={\"width_ratios\": [3.5, 2, 2]})\n", "ax.map(sns.boxplot, \"deck\", \"age\")\n", "\n", "ax.set_titles(fontweight='bold', size=17)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Breaking it down, at first we import our built-in Titanic dataset, and then assign a new column, i.e. **`deck`** using Pandas **`.assign()`** function. Here we declare this new column as a component of pre-existing **`deck`** column from Titanic dataset, but as a sorted object. Then we create our *FacetGrid* mentioning the DataFrame, the column on which Grids get segregated but with shared across *Y-axis*; for **`chosen deck`** against **`Age`** of passengers. Next in action is our **grid keyword specifications**, where we decide the *width ratio* of the plot that shall be passed on to these grids. Finally, we have our **Box Plot** representing values of **`Age`** feature across respective decks." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let us try to use different axes with same size for multivariate plotting on Tips dataset:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:39.369227Z", "start_time": "2021-07-18T12:17:38.145120Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a21a449490>" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 504x504 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Loading built-in Tips dataset:\n", "tips = sns.load_dataset(\"tips\")\n", "\n", "# Mapping a Scatterplot to our FacetGrid:\n", "ax = sns.FacetGrid(tips, col=\"smoker\", row=\"sex\", size=3.5)\n", "ax = (ax.map(plt.scatter, \"total_bill\", \"tip\", color=tableau_20[6]).set_axis_labels(\"Total Bill Generated (USD)\", \"Tip Amount\"))\n", "\n", "# Increasing size for subplot Titles & making it appear Bolder:\n", "ax.set_titles(fontweight='bold', size=11)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Scatterplot** dealing with data that has multiple variables is no new science for us so instead let me highlight what **`.map()`** does for us. This function actually allows us to project our figure axes, in accordance to which our Scatterplot spreads the feature datapoints across the grids, depending upon the segregators. Here we have **`sex`** and **`smoker`** as our segregators (When I use the general term \"segregator\", it just refers to the columns on which we decide to determine the layout). This comes in really handy as we can pass *Matplotlib parrameters* for further customization of our plot. At the end, when we add **`.set_axis_labels()`** it gets easy for us to label our axes but please note that this method shall work for you only when you're dealing with grids, hence you didn't observe me adapting to this function, while detailing various other plots." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Let us now talk about the **`football_plot`** function we defined earlier with **football** DataFrame. The only reason I didn't speak of it then was because I wanted you to go through a few more parameter implementation before getting into this. There are **3 important rules for defining such functions** that are supported by **[FacetGrid.map](http://xarray.pydata.org/en/stable/generated/xarray.plot.FacetGrid.map.html)**:\n", "\n", " -They must take array-like inputs as positional arguments, with the first argument corresponding to the **`X-Axis`**, and the second argument corresponding to **`y-Axis`**.\n", " -They must also accept two keyword arguments: **`color`**, and **`label`**. If you want to use a **`hue`** variable, than these should get passed to the underlying plotting function (As a side note: You may just catch **`**kwargs`** and not do anything with them, if it's not relevant to the specific plot you're making.\n", " -Lastly, when called, they must draw a plot on the \"currently active\" matplotlib Axes.\n", "\n", "- Important to note is that there may be cases where your function draws a plot that looks correct without taking `x`, `y`, positional inputs and then it is better to just call the plot, like: **`ax.set_axis_labels(\"Column_1\", \"Column_2\")`** after you use **`.map()`**, which should rename your axes properly. Alternatively, you may also want to do something like `ax.set(xticklabels=)` to get more meaningful ticks.\n", "\n", "- Well I am also quite stoked to mention another important function (though not that comonly used), that is **[`FacetGrid.map_dataframe()`](http://nullege.com/codes/search/axisgrid.FacetGrid.map_dataframe)**. The rules here are similar to **`FacetGrid.map`** but the function you pass must accept a DataFrame input in a parameter called `data`, and instead of taking *array-like positional* inputs it takes *strings* that correspond to variables in that dataframe. Then on each iteration through the *facets*, the function will be called with the *Input dataframe*, masked to just the values for that combination of **`row`**, **`col`**, and **`hue`** levels.\n", "\n", "Another important to note with both the above-mentioned functions is that the **`return`** value is ignored so you don't really have to worry about it. Just for illustration purpose, let us consider drafting a function that just *draws a horizontal line* in each **`facet`** at **`y=2`** and ignores all the Input data*:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:39.384853Z", "start_time": "2021-07-18T12:17:39.373136Z" } }, "outputs": [], "source": [ "# That is all you require in your function:\n", "def plot_func(x, y, color=None, label=None):\n", " ax.map(plt.axhline, y=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I know this function concept might look little hazy at the moment but once you have covered more on dates and maptplotlib syntax in particular, the picture shall get much more clearer for you." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let us look at one more example of **`FacetGrid()`** and this time let us again create a synthetic DataFrame for this demonstration:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:39.511808Z", "start_time": "2021-07-18T12:17:39.387784Z" } }, "outputs": [], "source": [ "# Creating synthetic Data (Don't focus on how it's getting created):\n", "units = np.linspace(0, 50)\n", "A = [1., 18., 40., 100.]\n", "\n", "df = []\n", "for i in A:\n", " V1 = np.sin(i * units)\n", " V2 = np.cos(i * units)\n", " df.append(pd.DataFrame({\"units\": units, \"V_1\": V1, \"V_2\": V2, \"A\": i}))\n", "\n", "sample = pd.concat(df, axis=0)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:39.634850Z", "start_time": "2021-07-18T12:17:39.532312Z" } }, "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>units</th>\n", " <th>V_1</th>\n", " <th>V_2</th>\n", " <th>A</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>200.000000</td>\n", " <td>200.000000</td>\n", " <td>200.000000</td>\n", " <td>200.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>25.000000</td>\n", " <td>-0.005356</td>\n", " <td>-0.001868</td>\n", " <td>39.750000</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>14.762329</td>\n", " <td>0.682091</td>\n", " <td>0.734673</td>\n", " <td>37.526373</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>0.000000</td>\n", " <td>-0.997677</td>\n", " <td>-0.999703</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>12.244898</td>\n", " <td>-0.670396</td>\n", " <td>-0.746011</td>\n", " <td>13.750000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>25.000000</td>\n", " <td>0.007234</td>\n", " <td>0.063577</td>\n", " <td>29.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>37.755102</td>\n", " <td>0.651253</td>\n", " <td>0.744281</td>\n", " <td>55.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>50.000000</td>\n", " <td>0.999926</td>\n", " <td>1.000000</td>\n", " <td>100.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " units V_1 V_2 A\n", "count 200.000000 200.000000 200.000000 200.000000\n", "mean 25.000000 -0.005356 -0.001868 39.750000\n", "std 14.762329 0.682091 0.734673 37.526373\n", "min 0.000000 -0.997677 -0.999703 1.000000\n", "25% 12.244898 -0.670396 -0.746011 13.750000\n", "50% 25.000000 0.007234 0.063577 29.000000\n", "75% 37.755102 0.651253 0.744281 55.000000\n", "max 50.000000 0.999926 1.000000 100.000000" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Previewing DataFrame:\n", "sample.head(10)\n", "sample.describe()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2021-07-18T12:17:42.074762Z", "start_time": "2021-07-18T12:17:39.642664Z" } }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.FacetGrid at 0x1a21b6eba00>" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 931.225x432 with 8 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Melting our sample DataFrame: \n", "sample_melt = sample.melt(id_vars=['A', 'units'], value_vars=['V_1', 'V_2'])\n", "\n", "# Creating plot:\n", "ax = sns.FacetGrid(sample_melt, col='A', hue='A', palette=\"icefire\", row='variable', sharey='row', margin_titles=True)\n", "ax.map(plt.plot, 'units', 'value')\n", "ax.add_legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This process shall come in handy if you ever wish to vertically stack rows of subplots on top of one another. You do not really have to focus on the process of creating dataset, as generally you will have your dataset provided with a problem statement. For our plot, you may just consider these visual variations as **[Sinusoidal waves](https://en.wikipedia.org/wiki/Sine_wave)**. I shall attach a link in our notebook, if you wish to dig deeper into what these are and how are they actually computed. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our next lecture would be pretty much a small follow up to this lecture, where we would try to bring more of *Categorical data* to our **`FacetGrid()`**. Meanwhile, I would again suggest you to play around with analyzing and plotting datasets, as much as you can because visualization is a very important facet of *Data Science & Research*. And, I shall see you in our next lecture with **[Heat Map](https://github.com/milaan9/12_Python_Seaborn_Module/blob/main/018_Seaborn_Heat_Map.ipynb)**." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "hide_input": false, "kernelspec": { "display_name": "Python 3", "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": "3.8.8" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }