Answers for "hist 2d seaborn"

Python

plot histogram in seaborn

sns.distplot(gapminder['lifeExp'], kde=False, color='red', bins=100)
plt.title('Life Expectancy', fontsize=18)
plt.xlabel('Life Exp (years)', fontsize=16)
plt.ylabel('Frequency', fontsize=16)

Posted by: Guest on May-30-2020

Source

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')

Posted by: Guest on May-11-2020