{"componentChunkName":"component---src-templates-work-js","path":"/works/how-to-make-a-countplot-in-seaborn-plotly-and-matplotlib","result":{"data":{"datoCmsWork":{"seoMetaTags":{"tags":[{"tagName":"title","content":"How to make a \"countplot\" in seaborn, plotly and matplotlib"},{"tagName":"meta","attributes":{"property":"og:title","content":"How to make a \"countplot\" in seaborn, plotly and matplotlib"}},{"tagName":"meta","attributes":{"name":"twitter:title","content":"How to make a \"countplot\" in seaborn, plotly and matplotlib"}},{"tagName":"meta","attributes":{"name":"description","content":"Pitch founders hackathon business-to-business growth hacking pivot rockstar deployment business model canvas handshake stock business-to-consumer. "}},{"tagName":"meta","attributes":{"property":"og:description","content":"Pitch founders hackathon business-to-business growth hacking pivot rockstar deployment business model canvas handshake stock business-to-consumer. "}},{"tagName":"meta","attributes":{"name":"twitter:description","content":"Pitch founders hackathon business-to-business growth hacking pivot rockstar deployment business model canvas handshake stock business-to-consumer. "}},{"tagName":"meta","attributes":{"name":"twitter:site","content":"@xxx"}},{"tagName":"meta","attributes":{"name":"twitter:card","content":"summary"}},{"tagName":"meta","attributes":{"property":"article:modified_time","content":"2020-11-06T11:39:55Z"}},{"tagName":"meta","attributes":{"property":"article:published_time","content":"2020-11-06T10:54:09Z"}},{"tagName":"meta","attributes":{"property":"article:publisher","content":"https://www.facebook.com/xxx"}},{"tagName":"meta","attributes":{"property":"og:locale","content":"en_EN"}},{"tagName":"meta","attributes":{"property":"og:type","content":"article"}},{"tagName":"meta","attributes":{"property":"og:site_name","content":"Fred Lich"}},{"tagName":"meta","attributes":{"property":"og:image","content":"https://www.datocms-assets.com/28985/1590861119-favicon.png?w=1000&fit=max&fm=jpg"}},{"tagName":"meta","attributes":{"name":"twitter:image","content":"https://www.datocms-assets.com/28985/1590861119-favicon.png?w=1000&fit=max&fm=jpg"}}]},"title":"How to make a \"countplot\" in seaborn, plotly and matplotlib","excerpt":"I find myself often needing to make a 'countplot'...","gallery":[],"descriptionNode":{"childMarkdownRemark":{"html":"

How to make a countplot

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I find myself often needing to make a 'countplot'. I.e. a histogram of the counts of values of a particular field. Here's how to do it using different libraries. Sometimes you want quick, sometimes pretty, sometimes interactive.

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Assume you dataframe is stored in df. And the column you are interested in is result

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Combine with retina jupyter matplotlib settings for prettier output.

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In matplotlib

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df.result.plot.hist(bins=50)\n
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In seaborn.

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import seaborn as sns\nsns.countplot(x='result', data=df)\n
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In plotly express

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import plotly.express as px\npx.histogram(df, x=\"result\")\n
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If the graphs don't show, and you're using jupyter lab. Try:\njupyter labextension install jupyterlab-plotly@4.12.0

\n
\n

I prefer to use seaborn for prettiest quick output.

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