features_by_string_plots(stringy,df,target).ipynb

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    "def features_by_string_plots(stringy,df,target):\n",
    "    plot_list = []\n",
    "    for column in df.columns:\n",
    "        if stringy in column:\n",
    "            plot_list.append(column)\n",
    "    plot_nrows = int(-(-len(plot_list)//4))\n",
    "\n",
    "    fig= plt.figure(figsize=(20,5*plot_nrows))\n",
    "    plt.subplots_adjust(left=None, bottom=None, right=None, \n",
    "                    top=None, wspace=None, hspace=0.4)\n",
    "    plotn = 1\n",
    "    for column in plot_list:\n",
    "        plt.subplot(plot_nrows,4,plotn)\n",
    "        plt.scatter(df[column], df[target], alpha =0.5, color='orange')\n",
    "        sns.regplot(column,target,data=df)\n",
    "        plt.title('Outcomes for: {}'.format(column))\n",
    "        plt.ylabel('Outcomes')\n",
    "        plotn += 1  \n",
    "    return    "
   ]
  }
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