{"id":1927,"date":"2023-08-10T15:49:10","date_gmt":"2023-08-10T22:49:10","guid":{"rendered":"https:\/\/gantovnik.com\/bio-tips\/?p=1927"},"modified":"2023-08-10T15:49:10","modified_gmt":"2023-08-10T22:49:10","slug":"378-horizontal-boxplot-with-observations-using-seaborn-library","status":"publish","type":"post","link":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/378-horizontal-boxplot-with-observations-using-seaborn-library\/","title":{"rendered":"#378 Horizontal boxplot with observations using seaborn library"},"content":{"rendered":"<p><a href=\"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/378-horizontal-boxplot-with-observations-using-seaborn-library\/ex378\/\" rel=\"attachment wp-att-1928\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex378.png?resize=700%2C600&#038;ssl=1\" alt=\"\" width=\"700\" height=\"600\" class=\"alignnone size-full wp-image-1928\" srcset=\"https:\/\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex378.png 700w, https:\/\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex378-480x411.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 700px, 100vw\" \/><\/a><\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\n#Horizontal boxplot with observations\r\nimport matplotlib.pyplot as plt\r\n#conda install -c anaconda seaborn\r\nimport seaborn as sns\r\nsns.set_theme(style=&quot;ticks&quot;)\r\n\r\ndef main():\r\n    # Initialize the figure with a logarithmic x axis\r\n    f, ax = plt.subplots(figsize=(7, 6))\r\n    ax.set_xscale(&quot;log&quot;)\r\n\r\n    # Load the example planets dataset\r\n    planets = sns.load_dataset(&quot;planets&quot;)\r\n\r\n    # Plot the orbital period with horizontal boxes\r\n    sns.boxplot(x=&quot;distance&quot;, y=&quot;method&quot;, data=planets,\r\n            whis=&#x5B;0, 100], width=.6, palette=&quot;vlag&quot;)\r\n\r\n    # Add in points to show each observation\r\n    sns.stripplot(x=&quot;distance&quot;, y=&quot;method&quot;, data=planets,\r\n                  size=4, color=&quot;.3&quot;, linewidth=0)\r\n\r\n    # Tweak the visual presentation\r\n    ax.xaxis.grid(True)\r\n    ax.set(ylabel=&quot;&quot;)\r\n    sns.despine(trim=True, left=True)\r\n    plt.savefig(&quot;ex378.png&quot;, dpi=100)\r\n    plt.show()\r\n\r\nif __name__ == '__main__':\r\n    main()\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>#Horizontal boxplot with observations import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme(style=&quot;ticks&quot;) def main(): # Initialize the figure with a logarithmic x axis f, ax = plt.subplots(figsize=(7, 6)) ax.set_xscale(&quot;log&quot;) # Load the example planets dataset planets = sns.load_dataset(&quot;planets&quot;) # Plot the orbital period with horizontal boxes sns.boxplot(x=&quot;distance&quot;, y=&quot;method&quot;, data=planets, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_lmt_disableupdate":"yes","_lmt_disable":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[91,2,92],"tags":[],"class_list":["post-1927","post","type-post","status-publish","format-standard","hentry","category-plot","category-python","category-seaborn"],"modified_by":"gantovnik","jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p8bH0k-v5","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":1921,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/376-scatterplot-with-continuous-hues-and-sizes-using-seaborn-library\/","url_meta":{"origin":1927,"position":0},"title":"#376 Scatterplot with continuous hues and sizes using seaborn library","author":"gantovnik","date":"2023-08-10","format":false,"excerpt":"[code language=\"python\"] #Scatterplot with continuous hues and sizes import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme(style=\"whitegrid\") def main(): # Load the example planets dataset planets = sns.load_dataset(\"planets\") cmap = sns.cubehelix_palette(rot=-.2, as_cmap=True) g = sns.relplot( data=planets, x=\"distance\", y=\"orbital_period\", hue=\"year\", size=\"mass\", palette=cmap, sizes=(10, 200), ) g.set(xscale=\"log\",\u2026","rel":"","context":"In &quot;plot&quot;","block_context":{"text":"plot","link":"https:\/\/gantovnik.com\/bio-tips\/category\/plot\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex376.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex376.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex376.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1929,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/379-joint-and-marginal-histograms-using-seaborn-library\/","url_meta":{"origin":1927,"position":1},"title":"#379 Joint and marginal histograms using seaborn library","author":"gantovnik","date":"2023-08-10","format":false,"excerpt":"[code language=\"python\"] #Joint and marginal histograms using seaborn library import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme(style=\"ticks\") def main(): # Load the planets dataset and initialize the figure planets = sns.load_dataset(\"planets\") g = sns.JointGrid(data=planets, x=\"year\", y=\"distance\", marginal_ticks=True) # Set a log scaling on the\u2026","rel":"","context":"In &quot;plot&quot;","block_context":{"text":"plot","link":"https:\/\/gantovnik.com\/bio-tips\/category\/plot\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex379.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex379.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex379.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1938,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/383-horizontal-bar-plot-using-seaborn-library\/","url_meta":{"origin":1927,"position":2},"title":"#383 Horizontal bar plot using seaborn library","author":"gantovnik","date":"2023-08-11","format":false,"excerpt":"[code language=\"python\"] #Horizontal bar plot using seaborn library import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme(style=\"whitegrid\") def main(): # Initialize the matplotlib figure f, ax = plt.subplots(figsize=(6, 15)) # Load the example car crash dataset crashes = sns.load_dataset(\"car_crashes\").sort_values(\"total\", ascending=False) # Plot the total crashes\u2026","rel":"","context":"In &quot;plot&quot;","block_context":{"text":"plot","link":"https:\/\/gantovnik.com\/bio-tips\/category\/plot\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex383.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex383.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex383.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1936,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/382-dot-plot-with-several-variables-using-seaborn-library\/","url_meta":{"origin":1927,"position":3},"title":"#382 Dot plot with several variables using seaborn library","author":"gantovnik","date":"2023-08-10","format":false,"excerpt":"[code language=\"python\"] #Overlapping densities ridge plot using seaborn library import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme(style=\"whitegrid\") def main(): # Load the dataset crashes = sns.load_dataset(\"car_crashes\") # Make the PairGrid g = sns.PairGrid(crashes.sort_values(\"total\", ascending=False), x_vars=crashes.columns[:-3], y_vars=[\"abbrev\"], height=10, aspect=.25) # Draw a dot plot using\u2026","rel":"","context":"In &quot;plot&quot;","block_context":{"text":"plot","link":"https:\/\/gantovnik.com\/bio-tips\/category\/plot\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex382.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex382.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex382.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex382.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex382.png?resize=1050%2C600&ssl=1 3x"},"classes":[]},{"id":1919,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/375-regression-fit-over-a-strip-plot-using-seaborn-library\/","url_meta":{"origin":1927,"position":4},"title":"#375 Regression fit over a strip plot using seaborn library","author":"gantovnik","date":"2023-08-10","format":false,"excerpt":"[code language=\"python\"] #Regression fit over a strip plot import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme() def main(): mpg = sns.load_dataset(\"mpg\") sns.catplot( data=mpg, x=\"cylinders\", y=\"acceleration\", hue=\"weight\", native_scale=True, zorder=1 ) sns.regplot( data=mpg, x=\"cylinders\", y=\"acceleration\", scatter=False, truncate=False, order=2, color=\".2\", ) plt.savefig(\"ex375.png\", dpi=100) plt.show() if __name__ ==\u2026","rel":"","context":"In &quot;plot&quot;","block_context":{"text":"plot","link":"https:\/\/gantovnik.com\/bio-tips\/category\/plot\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/11\/ex394.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/11\/ex394.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/11\/ex394.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1917,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/08\/374-hexbin-plot-with-marginal-distributions-using-seaborn-library\/","url_meta":{"origin":1927,"position":5},"title":"#374 Hexbin plot with marginal distributions using seaborn library","author":"gantovnik","date":"2023-08-10","format":false,"excerpt":"[code language=\"python\"] import numpy as np import matplotlib.pyplot as plt #conda install -c anaconda seaborn import seaborn as sns sns.set_theme(style=\"ticks\") def main(): rs = np.random.RandomState(11) x = rs.gamma(2, size=1000) y = -.5 * x + rs.normal(size=1000) sns.jointplot(x=x, y=y, kind=\"hex\", color=\"#4CB323\") plt.savefig(\"ex374.png\", dpi=100) plt.show() if __name__ == '__main__': main() [\/code]","rel":"","context":"In &quot;plot&quot;","block_context":{"text":"plot","link":"https:\/\/gantovnik.com\/bio-tips\/category\/plot\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex374.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex374.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/08\/ex374.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/1927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/comments?post=1927"}],"version-history":[{"count":0,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/1927\/revisions"}],"wp:attachment":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/media?parent=1927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/categories?post=1927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/tags?post=1927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}