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I'm starting to learn a bit of python (been using R) for data analysis. I'm trying to create two plots using seaborn, but it keeps saving the second on top of the first. How do I stop this behavior?
import seaborn as sns iris = sns.load_dataset('iris') length_plot = sns.barplot(x='sepal_length', y='species', data=iris).get_figure() length_plot.savefig('ex1.pdf') width_plot = sns.barplot(x='sepal_width', y='species', data=iris).get_figure() width_plot.savefig('ex2.pdf') 
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In Seaborn, we will plot multiple graphs in a single window in two ways. First with the help of Facetgrid() function and other by implicit with the help of matplotlib. data: Tidy dataframe where each column is a variable and each row is an observation.
How to plot two Seaborn lmplots side-by-side (Matplotlib)? To create two graphs, we can use nrows=1, ncols=2 with figure size (7, 7). Create a data frame with keys, col1 and col2, using Pandas. Use countplot() to show the counts of observations in each categorical bin using bars.
Factor Plot is used to draw a different types of categorical plot . The default plot that is shown is a point plot, but we can plot other seaborn categorical plots by using of kind parameter, like box plots, violin plots, bar plots, or strip plots.
You can use the following basic syntax to create subplots in the seaborn data visualization library in Python: #define dimensions of subplots (rows, columns) fig, axes = plt. subplots(2, 2) #create chart in each subplot sns. boxplot(data=df, x='team', y='points', ax=axes[0,0]) sns.
You have to start a new figure in order to do that. There are multiple ways to do that, assuming you have matplotlib. Also get rid of get_figure() and you can use plt.savefig() from there.
Method 1
Use plt.clf()
import seaborn as sns import matplotlib.pyplot as plt iris = sns.load_dataset('iris') length_plot = sns.barplot(x='sepal_length', y='species', data=iris) plt.savefig('ex1.pdf') plt.clf() width_plot = sns.barplot(x='sepal_width', y='species', data=iris) plt.savefig('ex2.pdf') Method 2
Call plt.figure() before each one
plt.figure() length_plot = sns.barplot(x='sepal_length', y='species', data=iris) plt.savefig('ex1.pdf') plt.figure() width_plot = sns.barplot(x='sepal_width', y='species', data=iris) plt.savefig('ex2.pdf') I agree with a previous comment that importing matplotlib.pyplot is not the best software engineering practice as it exposes the underlying library. As I was creating and saving plots in a loop, then I needed to clear the figure and found out that this can now be easily done by importing seaborn only:
since version 0.11:
import seaborn as sns import numpy as np data = np.random.normal(size=100) path = "/path/to/img/plot.png" plot = sns.displot(data) # also works with histplot() etc plot.fig.savefig(path) plot.fig.clf() # this clears the figure # ... continue with next figure alternative example with a loop:
import seaborn as sns import numpy as np for i in range(3): data = np.random.normal(size=100) path = "/path/to/img/plot2_{0:01d}.png".format(i) plot = sns.displot(data) plot.fig.savefig(path) plot.fig.clf() # this clears the figure before version 0.11 (original post):
import seaborn as sns import numpy as np data = np.random.normal(size=100) path = "/path/to/img/plot.png" plot = sns.distplot(data) plot.get_figure().savefig(path) plot.get_figure().clf() # this clears the figure # ... continue with next figure If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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