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@@ -1,90 +0,0 @@
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-import pandas as pd
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-import numpy as np
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-
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-import matplotlib
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-import matplotlib.pyplot as plt
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-matplotlib.use("pgf")
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-matplotlib.rcParams.update({
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- "pgf.texsystem": "pdflatex",
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- 'font.family': 'serif',
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- "font.serif" : "Times New Roman",
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- 'text.usetex': True,
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- 'pgf.rcfonts': False,
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-})
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-
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-def set_size(width, fraction=1, ratio = None):
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- """ Set aesthetic figure dimensions to avoid scaling in latex.
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-
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- Parameters
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- ----------
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- width: float
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- Width in pts
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- fraction: float
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- Fraction of the width which you wish the figure to occupy
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-
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- Returns
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- -------
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- fig_dim: tuple
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- Dimensions of figure in inches
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- """
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- # Width of figure
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- fig_width_pt = width * fraction
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-
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- # Convert from pt to inches
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- inches_per_pt = 1 / 72.27
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-
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- # Golden ratio to set aesthetic figure height
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- if ratio is None:
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- ratio = (5 ** 0.5 - 1) / 2
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-
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- # Figure width in inches
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- fig_width_in = fig_width_pt * inches_per_pt
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- # Figure height in inches
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- fig_height_in = fig_width_in * ratio
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-
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- return fig_width_in, fig_height_in
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-
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-
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-fit = pd.read_csv('filtered.csv')
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-
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-fig = plt.figure(figsize=set_size(450, 1, 1))
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-axes = [fig.add_subplot(4,4,i+1) for i in range(4*4)]
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-
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-speakers = ['CHI', 'OCH', 'FEM', 'MAL']
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-
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-for i in range(4*4):
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- ax = axes[i]
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- row = i//4+1
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- col = i%4+1
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- label = f'confusion.{row}.{col}'
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-
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- ax.set_xticks([])
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- ax.set_xticklabels([])
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- ax.set_yticks([])
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- ax.set_yticklabels([])
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- ax.set_ylim(0,5)
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- ax.set_xlim(0,1)
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-
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- low = fit[label].quantile(0.0275)
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- high = fit[label].quantile(0.975)
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-
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- if row == 1:
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- ax.xaxis.tick_top()
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- ax.set_xticks([0.5])
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- ax.set_xticklabels([speakers[col-1]])
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-
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- if row == 4:
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- ax.set_xticks(np.linspace(0.25,1,3, endpoint = False))
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- ax.set_xticklabels(np.linspace(0.25,1,3, endpoint = False))
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-
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- if col == 1:
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- ax.set_yticks([2.5])
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- ax.set_yticklabels([speakers[row-1]])
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-
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- ax.hist(fit[label], bins = np.linspace(0,1,40), density = True)
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- ax.axvline(fit[label].mean(), linestyle = '--', linewidth = 0.5, color = '#333', alpha = 1)
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- ax.text(0.5, 4.5, f'{low:.2f} - {high:.2f}', ha = 'center', va = 'center')
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-
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-fig.subplots_adjust(wspace = 0, hspace = 0)
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-plt.savefig('confusion_fit_full.pdf')
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-plt.show()
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