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boxplot python
“boxplot python” Code Answer’s
python how to make boxplots with pandas and seaborn
python by
Obsequious Octopus
on Oct 04 2020
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1
# 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
boxplot python
python by
Tremendous Enceladus
on Mar 21 2020
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import numpy as np import matplotlib.pyplot matrix=np.random.rand(10,10) plt.boxplot(matrix)
python boxplot show mean
python by
Drab Dog
on Aug 05 2020
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0
import matplotlib.pyplot as plt import numpy as np data_to_plot = np.random.rand(100,5) fig = plt.figure(1, figsize=(9, 6)) ax = fig.add_subplot(111) bp = ax.boxplot(data_to_plot, showmeans=True) plt.show()
Source:
stackoverflow.com
python matplotlib boxplot
python by
Zealous Zebra
on Jul 13 2020
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0
import numpy as np import matplotlib.pyplot as plt # Fixing random state for reproducibility np.random.seed(19680801) # fake up some data spread = np.random.rand(50) * 100 center = np.ones(25) * 50 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 data = np.concatenate((spread, center, flier_high, flier_low)) fig1, ax1 = plt.subplots() ax1.set_title('Basic Plot') ax1.boxplot(data)
Source:
matplotlib.org
sns.boxplot code
python by
Fair Flatworm
on Apr 28 2020
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0
sns.boxplot("var")
Source:
python-graph-gallery.com
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