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| import matplotlib.pyplot as plt
| import numpy as np
| import sys
|
|
| def inside_label(pct, allvals):
| absolute = int(pct/100.*np.sum(allvals))
| return "{:.1f}%\n({:d})".format(pct, absolute)
|
|
| def plot_permutation(axe, permutations):
| labels = [str(x) for x in permutations['permutation']]
| count = permutations["count"]
|
| wedges, texts, autotexts = axe.pie(count
| #,labels=labels
| ,autopct=lambda pct: inside_label(pct, count)
| ,textprops=dict(color="w")
| )
| axe.axis('equal')
| ax.legend(wedges, labels,
| title="permutations",
| loc=(0.85,0.5)
| #loc="center left",
| #bbox_to_anchor=(0.5, 0., 0.5, 0.5)
| )
|
| if __name__ == "__main__":
| # print(f"read data from {sys.argv[1]}")
| file_name= "./data.csv"
| per = np.genfromtxt(file_name
| ,dtype=None
| ,names=['permutation', 'count']
| ,delimiter=";"
| ,encoding="utf-8"
| )
| fig, ax = plt.subplots(nrows=1, ncols=1, sharey='col',figsize=(6,4))
| plot_permutation(ax, per)
| fig.savefig("img/permutation.pgf", format="pgf", bbox_inches = 'tight', pad_inches=0.)
| fig.savefig("img/permutation.png", format="png", bbox_inches = 'tight', pad_inches=0.)
|
|
