/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
- 68 votes276 views6 answers
- 0 vote275 views1 answer
- 1 vote291 views3 answers
- 1 vote281 views1 answer
- 3 votes323 views2 answers
- 0 vote259 views1 answer
- 3 votes269 views1 answer
- 19 votes263 views2 answers
- 0 vote265 views1 answer
- 0 vote270 views1 answer