/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
- 5 votes290 views1 answer
- 0 vote300 views2 answers
- 67 votes301 views6 answers
- 1 vote293 views1 answer
- 1 vote276 views1 answer
- 0 vote299 views1 answer
- 28 votes281 views3 answers
- 0 vote309 views1 answer
- 16 votes287 views2 answers
- 0 vote280 views1 answer