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Commit bec657f0 authored by Alice Brenon's avatar Alice Brenon
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Improve bivariate specificity graph to work directly on measures from TXM

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#!/usr/bin/env python3
from GEODE import tabular
from LongFormatFromTXM import extractBivariate, toLongFormat
from color import qualitative
import matplotlib.pyplot as plot
import seaborn
import sys
def bivariateSpecificity(inputTSV, outputPNG):
specificities = tabular(inputTSV)
specificities = toLongFormat(tabular(inputTSV))
bivariate = extractBivariate(specificities, '_', ['domaine', 'auteur'])
ax = seaborn.catplot(
data=specificities, x='auteur', y='Spécificité', col='domaine',
hue='lemme', kind='bar', zorder=3, palette=qualitative)
data=bivariate.reset_index(), x='auteur', y='Spécificité',
col='domaine', hue='lemme', kind='bar', zorder=3, height=3.5,
aspect=1.6, palette=qualitative)
ax.despine(left=True)
ax.set_xlabels('')
ax.set_titles('{col_name}')
......
......@@ -12,6 +12,12 @@ def toLongFormat(txmData):
specificities.name = 'Spécificité'
return pandas.DataFrame(specificities)
def extractBivariate(specificities, sep, into):
index = specificities.index.names
columns = specificities.columns
specificities[into] = [*specificities.index.map(lambda r: r[0].split(sep))]
return specificities.reset_index().set_index(into + index[1:])[columns]
def convert(inputTSV, outputTSV):
toLongFormat(tabular(inputTSV)).to_csv(outputTSV, sep='\t')
......
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