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@@ -25,13 +25,14 @@ if (args$virtualenv != "-") {
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}
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p <- import("pandas")
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-sns <- import("seaborn")
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-cbp <- as.character(p$Series(sns$color_palette("colorblind", as.integer(9))$as_hex()))
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aggdf <- p$read_pickle(args$cluster_file)
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-# aggdf <- as.data.frame(aggdf)
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aggdf$cluster <- factor(aggdf$cluster)
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str(aggdf)
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clusters = levels(aggdf$cluster)
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+cbp <- c('#0173b2', '#de8f05', '#029e73', '#d55e00', '#cc78bc', '#ca9161', '#fbafe4', '#949494', '#ece133', '#56b4e9', '#0173b2',
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+ '#de8f05', '#029e73', '#d55e00', '#cc78bc', '#ca9161', '#fbafe4', '#949494', '#ece133', '#56b4e9', '#0173b2', '#de8f05',
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+ '#029e73', '#d55e00', '#cc78bc', '#ca9161', '#fbafe4', '#949494', '#ece133', '#56b4e9', '#0173b2', '#de8f05', '#029e73',
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+ '#d55e00', '#cc78bc', '#ca9161', '#fbafe4', '#949494', '#ece133', '#56b4e9')[1:length(clusters)
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ggplot(aggdf, aes(y = kwh_tot_mean, x = cluster)) + geom_boxplot()
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