V04S. Seaborn Solutions.ipynb

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   "source": [
    "# V04S. Seaborn Solutions"
   ]
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   "source": [
    "#### Exercise 1: Using the dataframe below:\n",
    "\n",
    "1) Create a jointplot to show the distribution of the data.<br/>\n",
    "2) Change the size of the plot to make it larger.<br/>\n",
    "3) Add a title to the plot (NB You'll have to adjust the plot down).<br/>"
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from numpy.random import randn\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
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    "df1a = pd.DataFrame({'data1':np.arange(0,400),\n",
    "                     'data2':np.random.randint(0,500,400)})\n",
    "df1b = pd.DataFrame({'data1':np.arange(400,1000),\n",
    "                     'data2':np.random.randint(0,1000,600)})\n",
    "df1 = pd.concat([df1a,df1b])                \n",
    "df1.head(5)"
   ]
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   "cell_type": "code",
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   "source": [
    "chart1 = sns.jointplot(df1['data1'],df1['data2'],\n",
    "                       size=8)                    # Making the chart bigger\n",
    "\n",
    "chart1.fig.suptitle('My Jointplot!',              # The plot title\n",
    "                    fontsize=16)                  # Title fontsize\n",
    "plt.subplots_adjust(top=0.93)                     # Moving the chart down to make room for the title"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Exercise 2: Using the Numpy Array below:\n",
    "\n",
    "1) Plot a heatmap.<br/>\n",
    "2) Increase the size of the heatmap.<br/>\n",
    "3) Add values to the heatmap via annotation. <br/>\n",
    "4) Change the colours to a <a href = \"https://stanford.edu/~mwaskom/software/seaborn/tutorial/color_palettes.html\">nicer palette</a>.<br/>\n",
    "5) Set a title for the heatmap."
   ]
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "data = np.random.rand(10,12)\n",
    "data"
   ]
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "chart2 = sns.heatmap(data,\n",
    "                     annot=True,       # Annotating the heatmap with values\n",
    "                     cmap=\"winter\")    # Setting the palette\n",
    "chart2.figure.set_size_inches(12,8)    # Setting the size of the heatmap\n",
    "chart2.set_title(\"Winter Heatmap\")     # Set the title of the heatmap\n",
    "chart2                                 # Showing the heatmap"
   ]
  }
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