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Explain how a violin plot can be visualized using factorplot function in Python?
<p>The barplot function establishes the relationship between a categorical variable and a continuous variable. Data is represented in the form of rectangular bars where the length of the bar indicates the proportion of data in that specific category.</p><p>Point plots are similar to bar plots but instead of representing the fill bar, the estimated value of the data point is represented by a point at a specific height on the other axis.</p><p>Categorical data can be visualized using categorical scatter plots or two separate plots with the help of pointplot or a higher level function known as factorplot.</p><p>The factorplot function draws a categorical plot on a FacetGrid, with the help of parameter ‘kind’.</p><p>The value to ‘kind’ parameter here would be ‘violin’. FacetGrid uses ‘pointplot’ function by default.</p><p>Let us understand how a factorplot can be used to create a violin graph −</p><h2>Example</h2><pre class="prettyprint notranslate">import pandas as pd import seaborn as sb from matplotlib import pyplot as plt my_df = sb.load_dataset('exercise') sb.factorplot(x = "time", y = "pulse", hue = "kind", kind = 'violin',data = my_df); plt.show()</pre><h2>Output</h2><p><img src="https://www.tutorialspoint.com/assets/questions/media/46578/factorplot_function.jpg" class="fr-fic fr-dib" width="477" height="377"></p><h2>Explanation</h2><ul class="list"><li>The required packages are imported.</li><li>The input data is ‘exercise’ which is loaded from the seaborn library.</li><li>This data is stored in a dataframe.</li><li>The ‘load_dataset’ function is used to load the iris data.</li><li>This data is visualized using the ‘factorplot’ function.</li><li>Here, the dataframe is supplied as parameter.</li><li>The ‘kind’ parameter is specified as ‘violin’ here.</li><li>Also, the x and y values are specified.</li><li>This data is displayed on the console.</li></ul>
Updated on 11-Dec-2020 10:56:01
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