Bar_plot.ipynb

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    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Define fictional example dataframe\n",
    "df = pd.DataFrame(\n",
    "    {'Countries' : ['Kenya', 'Tanzania', 'Uganda', 'Rwanda'],\n",
    "     'Gross Domestic Product' : [400, 300, 200, 100]\n",
    "    })\n",
    "\n",
    "# Define color palette\n",
    "highlight_color = '#174A7E'  # Chathams Blue\n",
    "muted_color = 'dimgrey'\n",
    "muted_color2 = 'lightgrey'\n",
    "custom_colors = [muted_color2, muted_color2, highlight_color, muted_color2]\n",
    "\n",
    "# Create a basic bar chart from the example dataframe\n",
    "fig, ax = plt.subplots(1, 1, figsize=(8, 5))\n",
    "\n",
    "sns.barplot(data=df, \n",
    "            x='Countries', \n",
    "            y='Gross Domestic Product', \n",
    "            palette=custom_colors)  # De-emphasize less important bars\n",
    "\n",
    "# Add title\n",
    "ax.set_title(\"Africa's Economic Powerhouses: Unveiling East Africa's GDP Titans\", \n",
    "             loc='left', \n",
    "             fontsize=10, \n",
    "             fontweight='bold')\n",
    "\n",
    "# Add subtitle\n",
    "ax.text(0, 0.982, r\"$\\bf{Kenya}$ still the giant economy in East Africa, $\\bf{Rwanda}$ coming up as well\",\n",
    "        transform=ax.transAxes, fontsize=8, color='gray')\n",
    "\n",
    "# Mute colors of labels\n",
    "ax.set_xlabel('')  # Remove the countries' axis title\n",
    "ax.set_ylabel('')  # Remove the y-axis label\n",
    "\n",
    "# Remove unimportant spines and ticks\n",
    "ax.spines['right'].set_visible(False)      # Remove top and right spines\n",
    "ax.spines['top'].set_visible(False)        # Remove top and right spines\n",
    "ax.spines['left'].set_visible(False)       # Remove left spine\n",
    "ax.spines['bottom'].set_color(muted_color) # Mute colors of spines\n",
    "\n",
    "# Remove ticks on x-axis and y-axis\n",
    "ax.tick_params(bottom=False,        # Remove ticks on x-axis\n",
    "               left=False,          # Remove ticks on y-axis\n",
    "               labelbottom=True,   # Show x-axis tick labels\n",
    "               labelleft=False)    # Remove y-axis tick labels\n",
    "\n",
    "# Annotate bar chart with values\n",
    "for i, bar in enumerate(ax.patches):\n",
    "    bar_width = bar.get_width()\n",
    "    bar_height = bar.get_height()\n",
    "    bar_x = bar.get_x()\n",
    "    bar_y = bar.get_y()\n",
    "    label_x = bar_x + bar_width / 2\n",
    "    label_y = bar_y + bar_height / 2\n",
    "    \n",
    "    ax.annotate(int(bar_height),\n",
    "                xy=(label_x, label_y), \n",
    "                ha='center', \n",
    "                va='center',\n",
    "                xytext=(0, 8),\n",
    "                textcoords='offset points',\n",
    "                color=custom_colors[i])\n",
    "    \n",
    "# Annotate Tanzania\n",
    "tanzania_index = df['Countries'].tolist().index('Tanzania')\n",
    "\n",
    "tanzania_gdp = df.iloc[tanzania_index]['Gross Domestic Product']\n",
    "ax.annotate(f'{tanzania_gdp}', \n",
    "            xy=(tanzania_index, tanzania_gdp), \n",
    "            xytext=(0, 7), \n",
    "            textcoords='offset points',\n",
    "            ha='center', \n",
    "            color='#174A7E',\n",
    "            fontweight='bold')\n",
    "\n",
    "# Add additional text\n",
    "ax.text(0.4, 0.8, \"Tanzania's Economy  \\n is Growing at 7.5 % \", \n",
    "        transform=ax.transAxes, \n",
    "        fontsize=8, \n",
    "        color='#174A7E',\n",
    "        ha='center', \n",
    "        fontweight='normal')\n",
    "\n",
    "# Adjust layout\n",
    "plt.subplots_adjust(top=0.85)\n",
    "\n",
    "plt.show()"
   ]
  }
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