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