/Python/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')
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')
0
- 10 votes218 views10 answers
- 0 vote231 views1 answer
- 21 votes229 views2 answers
- 11 votes220 views3 answers
- 40 votes207 views4 answers
- 2 votes210 views2 answers
- 1 vote219 views1 answer
- 4 votes203 views2 answers
- 3 votes215 views1 answer
- 23 votes243 views5 answers