plot distribution seaborn
x = np.random.normal(size=100)
sns.distplot(x);plot distribution seaborn
x = np.random.normal(size=100)
sns.distplot(x);scatter density plot seaborn
>>> iris = sns.load_dataset("iris")
>>> g = sns.jointplot("sepal_width", "petal_length", data=iris,
... kind="kde", space=0, color="g")mean =[0,0] covariance = [[1,0],[0,100]] ds = np.random.multivariate_normal(mean,covariance,500) dframe = pd.DataFrame(ds, columns=['col1', 'col2']) fig = sns.kdeplot(dframe).get_figure() fig.savefig('kde1.png')
mean =[0,0]
covariance = [[1,0],[0,100]]
ds = np.random.multivariate_normal(mean,covariance,500)
dframe = pd.DataFrame(ds, columns=['col1', 'col2'])
fig = sns.kdeplot(dframe).get_figure()
fig.savefig('kde1.png')Copyright © 2021 Codeinu
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