shaunenslin

from mpl_toolkits.mplot3d import Axes3D
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
import seaborn as sns
import matplotlib.pyplot as plt # plotting
import numpy as np # linear algebra
import os # accessing directory structure
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt

shaunenslin

var s string  
var err error  
s, err = os.Executable()  
if err != nil {  
  return "", errors.Wrap(err, "os.executable")
}
ext := filepath.Ext(s)  
outfile := s[0:len(s)-len(ext)] + ".toml"  
return outfile, nil  

shaunenslin

/*
// JSONTime ..
type JSONTime time.Time

// UnmarshalJSON ..
func (ct *JSONTime) UnmarshalJSON(b []byte) (err error) {
	const ctLayout = "2006-01-02"
	const ctLayout2 = "2006-01-02T15:04:05Z"
	s := strings.Trim(string(b), "\"")
	fmt.Printf(">>>>>>>>>>>>>>> %v", s)