In the figure the y-axis labels are in decimals from (0 to 1) i.e (0.1, 0.2, 0.4 etc). How can I convert this into a % format (10%, 20%, 40% etc). Just 10, 20, 40 also will do.
Thanks, John
g = sns.catplot(x="who", y="survived", col="class",
... data=titanic, saturation=.5,
... kind="bar", ci=None, aspect=.6)
How to set the range of Y-axis for a Seaborn boxplot using Matplotlib? Using set_style () method, set the aesthetic style of the plots. Load the dataset using load_dataset ("tips"); need Internet. Using boxplot (), draw a box plot to show distributions with respect to categories. To set the range of Y-axis, use the ylim () method.
How to label and change the scale of a Seaborn kdeplot's axes? (Matplotlib) Set the figure size and adjust the padding between and around the subplots. Create random data points using numpy. Plot Kernel Density Estimate (KDE) using kdeplot () method.
It is built on top of Matplotlib, another vast and deep data visualization library. Syntax: seaborn.catplot (*, x=None, y=None, hue=None, data=None, row=None, col=None, kind=’strip’, color=Non e, palette=None, **kwargs)
To create a scatter plot, we use the scatter () function of the pyplot module, and to set the range of the y-axis we use the ylim () function. Here we’ll discuss how we can change the y-axis limit of the specific subplot if we draw multiple plots in a figure area.
You may use a PercentFormatter
on the axes of the grid.
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.ticker import PercentFormatter
titanic = sns.load_dataset("titanic")
g = sns.catplot(x="who", y="survived", col="class",
data=titanic, saturation=.5,
kind="bar", ci=None, aspect=.6)
for ax in g.axes.flat:
ax.yaxis.set_major_formatter(PercentFormatter(1))
plt.show()
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