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')

• 1 vote117 views1 answer

  Django m2m .add

  PythonDjango
• 1 vote114 views1 answer

  Any python type hint

  Python
• 0 vote110 views1 answer

  How to get session value in django template

  PythonDjango
• 0 vote103 views1 answer

  Matrix outer product python

  Python
• 1 vote99 views2 answers

  Python color text on windows

  Python
• 10 votes88 views3 answers

  Pandas create new column conditional on other columns

  Python
• 0 vote109 views1 answer

  How to open excel with more than one sheetpython

  Python
• 0 vote186 views1 answer

  Tryexept in python

  Python
• 0 vote136 views1 answer

  How to print a groupby object

  Python
• 1 vote91 views1 answer

  Panda dataframe read csv change string to float

  Python