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| # import library | |
| import matplotlib.pyplot as plt | |
| def get_complementary_color(source_color): | |
| # creates dictionary of colors | |
| colors = {1:("#A3218E","Red-violet"), | |
| 2:("#592F93","Violet"), | |
| 3:("#21409A","Blue-violet"), | |
| 4:("#0465B2","Blue"), | |
| 5:("#00ACAC","Blue-green"), | |
| 6:("#02A45E","Green"), | |
| 7:("#6EBF43","Yellow-green"), | |
| 8:("#FFF103","Yellow"), | |
| 9:("#F8A519","Yellow-orange"), | |
| 10:("#F58126","Orange"), | |
| 11:("#ED403C","Red-orange"), | |
| 12:("#EE1C25","Red")} | |
| # looks for the color position on the dictionary | |
| source_color_position = None | |
| for color_position, color_tuple in colors.items(): | |
| if source_color == colors[color_position][1]: | |
| source_color_position = color_position | |
| # now that we have the position, let's calculate the position of the complementary color | |
| complementary_color_position = None | |
| if source_color_position < 7: | |
| complementary_color_position = (source_color_position + 6) | |
| elif source_color_position > 6: | |
| complementary_color_position = (source_color_position + 6) - 12 | |
| # get the color name on this position on the dictionary | |
| complementary_color_name = colors[complementary_color_position][1] | |
| # Now, let's get the colors hexadecimal codes and their names | |
| colors_hex = [color_tuple[0] for color_tuple in colors.values()] | |
| colors_names = [color_tuple[1] for color_tuple in colors.values()] | |
| # Let's give highlight the source color and the complementary color | |
| #giving them higher size values in our donut chart. | |
| size_of_colors=[] | |
| for color in colors_names: | |
| if color != source_color and color != complementary_color_name: | |
| size_of_colors.append(5) | |
| else: | |
| size_of_colors.append(20) | |
| # Create a pieplot | |
| plt.pie(size_of_colors, labels=colors_names, colors=colors_values) | |
| # add a circle at the center | |
| white_circle=plt.Circle( (0,0), 0.7, color='white') | |
| p=plt.gcf() | |
| p.gca().add_artist(white_circle) | |
| plt.show() |
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