{"id":438,"date":"2023-02-13T12:14:10","date_gmt":"2023-02-13T12:14:10","guid":{"rendered":"https:\/\/tinyytopic.com\/?p=438"},"modified":"2023-02-13T12:13:26","modified_gmt":"2023-02-13T12:13:26","slug":"plot-data-in-pie-or-bar-charts-using-python-ready-to-use-function","status":"publish","type":"post","link":"https:\/\/tinyytopic.com\/index.php\/2023\/02\/13\/plot-data-in-pie-or-bar-charts-using-python-ready-to-use-function\/","title":{"rendered":"Plot data in pie (or) bar charts using Python ready-to-use function?"},"content":{"rendered":"\n

How do plot data in pie (or) bar charts using Python ready-to-use function?<\/mark><\/h5><\/div>\n\n\n\n

Install the following module(s) if you haven’t installed them already:<\/p>\n\n\n\n

pip install matplotlib<\/code><\/pre>\n\n\n\n
Ready-to-use Python function to plot data in a Pie (or) Bar chart:<\/p>\n\n\n\n
def plot_chart(PlotValue, PlotLabel, chart_type, plot_heading='', PlotColor=[]):\n    # Plot Pie or Bar or Barh chart\n    plt.clf()\n    plot_color = True\n    \n    # set font size\n    # font = {'size': 9}\n    # plt.rc('font', **font)\n    \n    # No Data message\n    if len(PlotValue) < 1: \n        messagebox.showinfo('Message', 'No Data to Plot!')\n        return\n    \n    if len(PlotValue) != len(PlotLabel):\n        messagebox.showinfo('Message', 'List size of Value and Label are not matching!')\n        return\n        \n    if len(PlotValue) != len(PlotColor):\n        if len(PlotColor) < 1:\n            plot_color = False\n        else:\n            messagebox.showinfo('Message', 'List size of Value and Color are not matching!')\n            return\n    \n    # rename labels with PlotValue\n    for i in range(0, len(PlotLabel)):\n        PlotLabel[i] = str(PlotLabel[i]) + ' (' + str(PlotValue[i]) + ')'\n    \n    # Plot Pie Chart\n    if chart_type == 'pie' or chart_type == 'Pie' or chart_type == 'PIE':\n        if plot_color == True:\n            plt.pie(PlotValue, labels = PlotLabel, colors = PlotColor, shadow = True, startangle = 90, autopct='%1.1f%%', pctdistance=0.5, labeldistance=1.1, wedgeprops = {\"edgecolor\" : \"white\", 'linewidth': 0.5,'antialiased': True})\n        elif plot_color == False:\n            plt.pie(PlotValue, labels = PlotLabel, shadow = True, startangle = 90, autopct='%1.1f%%', pctdistance=0.5, labeldistance=1.1, wedgeprops = {\"edgecolor\" : \"white\", 'linewidth': 0.5,'antialiased': True})\n    \n    # Plot Vertical Bar Chart\n    if chart_type == 'bar' or chart_type == 'Bar' or chart_type == 'BAR':\n        if plot_color == True:\n            pps = plt.bar(PlotLabel, PlotValue, color = PlotColor)\n        elif plot_color == False:\n            pps = plt.bar(PlotLabel, PlotValue)\n    \n        for p in pps:\n            height = p.get_height()\n            width = p.get_width()\n            PerValue = round(height\/sum(PlotValue) * 100, 1)\n            plt.text(x=p.get_x() + width \/ 2, y=height+.10, s=\"{}%\".format(PerValue), ha='center')\n    \n    # Plot Horizantal Bar Chart\n    if chart_type == 'barh' or chart_type == 'Barh' or chart_type == 'BARH':\n        if plot_color == True:\n            pps = plt.barh(PlotLabel, PlotValue, color = PlotColor)\n        elif plot_color == False:\n            pps = plt.barh(PlotLabel, PlotValue)\n    \n        for p in pps:\n            width = p.get_height()\n            height = p.get_width()\n            PerValue = round(height\/sum(PlotValue) * 100, 1)\n            plt.text(y=p.get_y() + width \/ 2, x=height+.10, s=\"{}%\".format(PerValue), ha='left')\n    \n    plt.title(plot_heading)\n    plt.tight_layout()\n    plt.show()\n<\/pre>\n\n\n\n
Write your main code as a sample below,<\/p>\n\n\n\n
import matplotlib.pyplot as plt\n\nplot_chart([43, 78], [\"Not Found\", \"Downloaded\"], 'pie', \"Download Status\", [\"#ff8c2d\", \"#47d147\"])\n\nplot_chart([43, 78], [\"Not Found\", \"Downloaded\"], 'barh', \"Download Status\")<\/code><\/pre>\n\n\n\n
The output of the code is,<\/p>\n\n\n\n
\n
\"\"
Pie Chart<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
\n
\"\"
Bar Chart<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
How does the function work?<\/mark><\/h5><\/div>\n\n\n\n
This code is a Python function to plot a chart using the Matplotlib <\/code><\/strong>library. The function takes in the following arguments:<\/p>\n\n\n\n
    \n
  1. The PlotValue<\/code><\/strong>: A list of values to be plotted in the chart.<\/li>\n\n\n\n
  2. The PlotLabel<\/code><\/strong>: A list of labels for each value to be plotted.<\/li>\n\n\n\n
  3. The Chart_type<\/code><\/strong>: The type of chart to be plotted. The options are ‘pie’, ‘bar’ or ‘barh’ (vertical bar chart, or horizontal bar chart, respectively).<\/li>\n\n\n\n
  4. The Plot_heading<\/code><\/strong> (Optional): The title of the chart.<\/li>\n\n\n\n
  5. The PlotColor<\/code><\/strong> (Optional): A list of colors for each value to be plotted.<\/li>\n<\/ol>\n\n\n\n
    The function starts by clearing any existing plot on the figure. Then, it checks the length of the PlotValue<\/code><\/strong>, PlotLabel<\/code><\/strong>, and PlotColor <\/code><\/strong>lists to make sure that they have the same length. If the length of the PlotColor <\/code><\/strong>list is less than 1, the plot_color <\/code><\/strong>variable is set to False<\/code><\/strong>, indicating that colors won’t be used in the plot. If the lengths of the lists are not equal, a message box is shown with an error message.<\/p>\n\n\n\n

    The function then renames the PlotLabel <\/code><\/strong>list by adding the corresponding PlotValue <\/code><\/strong>for each label.<\/p>\n\n\n\n

    Next, the function checks the value of the chart_type <\/code><\/strong>argument and plots the chart accordingly. If chart_type <\/code><\/strong>is pie<\/code><\/strong>, a pie chart is plotted using the PlotValue and PlotLabel lists, and the colors are set using the PlotColor list if plot_color is True.<\/p>\n\n\n\n

    If chart_type <\/code><\/strong>is bar<\/code><\/strong> or barh<\/code><\/strong>, a bar or horizontal bar chart is plotted, respectively, using the PlotLabel and PlotValue lists. If plot_color is True, the colors are set using the PlotColor list. In both cases, the function adds the percentage values for each bar on the plot.<\/p>\n\n\n\n

    Finally, the function sets the title of the chart to the plot_heading <\/code><\/strong>argument and displays the chart using the plt.show()<\/code><\/strong> function.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Install the following module(s) if you haven’t installed them already: Ready-to-use Python function to plot data in a Pie (or) Bar chart: Write your main code as a sample below, The output of the code is, This code is a Python function to plot a chart using the Matplotlib library. The function takes in the […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[12,17],"tags":[27,25,26,24,14,13,16,15],"class_list":["post-438","post","type-post","status-publish","format-standard","hentry","category-python","category-useful-function","tag-bar-chart","tag-chart","tag-pie-chart","tag-plot","tag-programming-language","tag-python","tag-python-code","tag-python-sample-code"],"aioseo_notices":[],"yoast_head":"\nPlot data in pie (or) bar charts using Python ready-to-use function? - tinyytopic.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tinyytopic.com\/index.php\/2023\/02\/13\/plot-data-in-pie-or-bar-charts-using-python-ready-to-use-function\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Plot data in pie (or) bar charts using Python ready-to-use function? - tinyytopic.com\" \/>\n<meta property=\"og:description\" content=\"Install the following module(s) if you haven’t installed them already: Ready-to-use Python function to plot data in a Pie (or) Bar chart: Write your main code as a sample below, The output of the code is, This code is a Python function to plot a chart using the Matplotlib library. 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