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 vote114 views3 answers

  Python bill

  Python
• 0 vote114 views1 answer

  Fill a column based on values in another column pandas

  Python
• 1 vote144 views1 answer

  Django gmail smtp

  PythonDjango
• 1 vote112 views2 answers

  Python add column to a matrix

  Python
• 29 votes119 views2 answers

  Crispy forms

  Python
• 0 vote114 views1 answer

  Python coule nod import the module virtualenvwrapper.hook_loader

  Python
• 0 vote110 views1 answer

  Virtual mic with python

  Python
• 0 vote109 views1 answer

  How to use rbind() to combine dataframes

  Python
• 0 vote107 views1 answer

  Modeltranslation

  Python
• 8 votes115 views1 answer

  Delete certain characters from a string python

  Python