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')

• 10 votes218 views10 answers

  Apple

  Python
• 0 vote231 views1 answer

  Slayer_coins_spent

  Python
• 21 votes229 views2 answers

  Run python file using python code

  Python
• 11 votes220 views3 answers

  Django q filter

  Python
• 40 votes207 views4 answers

  Find todays date in python

  Python
• 2 votes210 views2 answers

  Gpu training tensorflow

  Python
• 1 vote219 views1 answer

  Delete turtle

  Python
• 4 votes203 views2 answers

  How to use ternary operater in python

  Python
• 3 votes215 views1 answer

  How to use threading in pyqt5

  Python
• 23 votes243 views5 answers

  Conda update

  Python