47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
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import os
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LBFGS_RESULTS = "/testing/results/LBFGS/{}/{}"
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QR_RESULTS = "/testing/results/QR/{}"
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CONDITIONING_RESULTS = "/testing/results/conditioning/{}"
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COMPARISON_RESULTS = "/testing/results/comparison/{}"
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PLOTS_PATH = "/testing/plots/{}/{}"
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# PROJECT FOLDER PATH
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PROJECT_FOLDER_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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LBFGS_RESULTS = PROJECT_FOLDER_PATH + LBFGS_RESULTS
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QR_RESULTS = PROJECT_FOLDER_PATH + QR_RESULTS
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CONDITIONING_RESULTS = PROJECT_FOLDER_PATH + CONDITIONING_RESULTS
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COMPARISON_RESULTS = PROJECT_FOLDER_PATH + COMPARISON_RESULTS
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PLOTS_PATH = PROJECT_FOLDER_PATH + PLOTS_PATH
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# PLOTTING CONFIGURATIONS
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from matplotlib import pyplot as plt
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import seaborn as sns
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def setup(title=None, x_label=None, y_label=None):
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sns.set_style("whitegrid")
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sns.set_context('paper')
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plt.figure(figsize=(13, 9))
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plt.xticks(fontsize=15)
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plt.yticks(fontsize=15)
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plt.title(title, fontsize=20, pad=20, loc='center', fontweight='bold')
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plt.xlabel(x_label, fontsize=15, labelpad=20)
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plt.ylabel(y_label, fontsize=15, labelpad=20)
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def nanoseconds_to_seconds(x, pos=None):
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return f"{x / 10 ** 9:.4f}"
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def log_tick_formatter(val, pos=None):
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return f"$10^{{{int(val)}}}$"
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def nanoseconds_to_milliseconds(x, pos=None):
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return f"{x / 10 ** 6:.1f}"
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def scientific_notation(x, pos):
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return '%1.1e' % x
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