Draw a single horizontal strip plot using Stripplot
If we use only one data variable instead of two data variables then it means that the axis denotes each of these data variables as an axis.
X denotes an x-axis and y denote a y-axis.
Syntax:
seaborn.stripplot(x)
Code:
Python3
# Python program to illustrate # Stripplot using inbuilt data-set # given in seaborn # importing the required module import seaborn import matplotlib.pyplot as plt # use to set style of background of plot seaborn.set(style = 'whitegrid') # loading data-set tips = seaborn.load_dataset("tips") seaborn.stripplot(x=tips["total_bill"]) |
Output:
Stripplot using Seaborn in Python
Seaborn is an amazing visualization library for statistical graphics plotting in Python. It provides beautiful default styles and color palettes to make statistical plots more attractive. It is built on top of the matplotlib library and also closely integrated into the data structures from pandas.
Strip plot
A strip plot is drawn on its own. It is a good complement to a boxplot or violinplot in cases where all observations are shown along with some representation of the underlying distribution. It is used to draw a scatter plot based on the category.
Syntax: seaborn.stripplot(*, x=None, y=None, hue=None, data=None, order=None, hue_order=None, jitter=True, dodge=False, orient=None, color=None, palette=None, size=5, edgecolor=’gray’, linewidth=0, ax=None, **kwargs)
Parameters:
- x, y, hue: Inputs for plotting long-form data.
- data: Dataset for plotting.
- order: It is the order to plot the categorical levels in.
- color: It is the color for all of the elements, or seed for a gradient palette
Returns: This method returns the Axes object with the plot drawn onto it.
Example: Basic visualization of “tips” dataset using stripplot()
Python3
import seaborn import matplotlib.pyplot as plt seaborn.set(style = 'whitegrid') tip = seaborn.load_dataset("tips") seaborn.stripplot(x="day", y="total_bill", data=tip) plt.show() |
Output:
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