{"id":13018,"date":"2022-10-02T19:14:17","date_gmt":"2022-10-02T13:44:17","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-interactively-re-color-bars-in-matplotlib-bar-chart-using-confidence-intervals\/"},"modified":"2022-10-02T19:14:17","modified_gmt":"2022-10-02T13:44:17","slug":"solved-interactively-re-color-bars-in-matplotlib-bar-chart-using-confidence-intervals","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-interactively-re-color-bars-in-matplotlib-bar-chart-using-confidence-intervals\/","title":{"rendered":"[Solved] Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-44119862\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"44119862\" data-parentid=\"43642990\" data-score=\"1\" data-position-on-page=\"1\" data-highest-scored=\"1\" data-question-has-accepted-highest-score=\"1\" itemprop=\"acceptedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>This is how I would handle this:<\/p>\n<pre><code>def recolorBars(self, event):      \n    y = event.ydata\n    for i, rect in enumerate(self.rects):\n        t, p, _ = sms.DescrStatsW(self.df[self.df.columns[i]]).ttest_mean(y)\n        rect.set_color(self.cpick.to_rgba((1 - p) * t \/ abs(t)))\n<\/code><\/pre>\n<p>When iterating through the bars, first test the value against the sample mean, then set the color based on p-value and test statistic t: (1 &#8211; p) * t<\/p>\n<p>Also, you must define cpick at the same time as cmap and set it to (-1, 1) using:<\/p>\n<pre><code>cpick = cm.ScalarMappable(cmap=cmap)\ncpick.set_array(np.linspace(-1, 1))\n<\/code><\/pre>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/i.stack.imgur.com\/j3kxZ.png\">The modifications above got me this result<\/a><\/p>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\"><\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] This is how I would handle this: def recolorBars(self, event): y = event.ydata for i, rect in enumerate(self.rects): t, p, _ = sms.DescrStatsW(self.df[self.df.columns[i]]).ttest_mean(y) rect.set_color(self.cpick.to_rgba((1 &#8211; p) * t \/ abs(t))) When iterating through the bars, first test the value against the sample mean, then set the color based on p-value and test statistic t: &#8230; <a title=\"[Solved] Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-interactively-re-color-bars-in-matplotlib-bar-chart-using-confidence-intervals\/\" aria-label=\"More on [Solved] Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[1084,3506,582,349,3507],"class_list":["post-13018","post","type-post","status-publish","format-standard","hentry","category-solved","tag-bar-chart","tag-confidence-interval","tag-matplotlib","tag-python","tag-python-interactive"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-interactively-re-color-bars-in-matplotlib-bar-chart-using-confidence-intervals\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] This is how I would handle this: def recolorBars(self, event): y = event.ydata for i, rect in enumerate(self.rects): t, p, _ = sms.DescrStatsW(self.df[self.df.columns[i]]).ttest_mean(y) rect.set_color(self.cpick.to_rgba((1 - p) * t \/ abs(t))) When iterating through the bars, first test the value against the sample mean, then set the color based on p-value and test statistic t: ... 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