/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
- 0 vote242 views1 answer
- 7 votes236 views2 answers
- 0 vote249 views1 answer
- 5 votes241 views4 answers
- 99 votes258 views6 answers
- 3 votes257 views3 answers
- 0 vote268 views1 answer
- 1 vote236 views1 answer
- 0 vote277 views1 answer
- 0 vote235 views1 answer