from typing import Dict from os.path import join, dirname from json import load import numpy as np import matplotlib.patches as mpatches import matplotlib.pyplot as plt MAX_LANGUAGES = 5 def build_graph(yearly_data: Dict) -> str: """ Draws graph of lines of code written by user by quarters of years. Picks top `MAX_LANGUAGES` languages from each quarter only. :param yearly_data: GitHub user yearly data. :return: String, path to graph file. """ with open(join(dirname(__file__), "colors.json")) as f: colors = load(f) languages_all_loc = dict() years = len(yearly_data.keys()) year_indexes = np.arange(years) for i, y in enumerate(sorted(yearly_data.keys())): for q in yearly_data[y].keys(): langs = sorted(yearly_data[y][q].keys(), key=lambda l: yearly_data[y][q][l], reverse=True)[0:MAX_LANGUAGES] for lang in langs: if lang not in languages_all_loc: languages_all_loc[lang] = np.array([[0] * years] * 4) languages_all_loc[lang][q - 1][i] = yearly_data[y][q][lang] fig = plt.figure() ax = fig.add_axes([0, 0, 1.5, 1]) language_handles = [] cumulative = np.array([[0] * years] * 4) for key, value in languages_all_loc.items(): color = colors[key]["color"] if colors[key]["color"] is not None else "w" language_handles += [mpatches.Patch(color=color, label=key)] for quarter in range(4): ax.bar(year_indexes + quarter * 0.21, value[quarter], 0.2, bottom=cumulative[quarter], color=color) cumulative[quarter] = np.add(cumulative[quarter], value[quarter]) ax.set_ylabel("LOC added", fontdict=dict(weight="bold")) ax.set_xticks(np.array([np.arange(i, i + 0.84, step=0.21) for i in year_indexes]).flatten(), labels=["Q1", "Q2", "Q3", "Q4"] * years) sax = ax.secondary_xaxis("top") sax.set_xticks(year_indexes + 0.42, labels=sorted(yearly_data.keys())) sax.spines["top"].set_visible(False) ax.legend(title="Language", handles=language_handles, loc="upper left", bbox_to_anchor=(1, 1), framealpha=0, title_fontproperties=dict(weight="bold")) sax.tick_params(axis="both", length=0) sax.spines["top"].set_visible(False) ax.spines["top"].set_visible(False) ax.spines["right"].set_visible(False) plt.ylim(0, 1.05 * np.amax(cumulative)) plt.savefig("bar_graph.png", bbox_inches="tight") plt.close(fig) return "bar_graph.png"