/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
- -2 votes345 views1 answer
- 11 votes355 views2 answers
- 0 vote361 views1 answer
- 3 votes354 views1 answer
- 12 votes384 views6 answers
- 0 vote380 views1 answer
- 1 vote378 views1 answer
- 0 vote352 views1 answer
- 8 votes339 views2 answers
- 0 vote337 views1 answer