"seaborn boxplot" Code Answer's
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seaborn boxplot
>>> import seaborn as sns
>>> sns.set_theme(style="whitegrid")
>>> ax = sns.boxplot(x=tips["total_bill"])
Source: seaborn.pydata.org
seaborn pairplot
>>> import seaborn as sns; sns.set(style="ticks", color_codes=True)
>>> iris = sns.load_dataset("iris")
>>> g = sns.pairplot(iris)
Source: seaborn.pydata.org
sns.boxplot code
sns.boxplot("var")
Source: python-graph-gallery.com
python how to make boxplots with pandas and seaborn
# Load packages:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Import data:
data_url = 'http://bit.ly/2cLzoxH'
gapminder = pd.read_csv(data_url) # Read data from url as pandas dataframe
print(gapminder.head(3)) # View top 3 rows
# Filter data:
gapminder_2007 = gapminder[gapminder['year']==2007]
gapminder_2007.head(3) # Veiw top 3 rows after filtering
# Note how data is organized in pandas dataframe and how it gets called
# in the following boxplot
# Example usage 1 (simple boxplot):
bplot = sns.boxplot(y='lifeExp', x='continent',
data=gapminder_2007,
width=0.5,
palette="colorblind")
# Example usage 2 (boxplot with stripplot overlay):
bplot = sns.boxplot(y='lifeExp', x='continent',
data=gapminder_2007,
width=0.5,
palette="colorblind")
bplot = sns.stripplot(y='lifeExp', x='continent',
data=gapminder_2007,
jitter=True,
marker='o',
alpha=0.5,
color='black')
# Example usage 3 (boxplot with swarmplot overlay):
bplot = sns.boxplot(y='lifeExp', x='continent',
data=gapminder_2007,
width=0.5,
palette="colorblind")
bplot = sns.swarmplot(y='lifeExp', x='continent',
data=gapminder_2007,
color='black',
alpha=0.75)
Source: cmdlinetips.com
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