Update app.py

app.py

@@ -9,13 +9,11 @@ def findCorrelation(dataset, target):
  print(dataset.name)
  
  df = pd.read_csv(dataset.name)
-
- df["target"] = target
  
- d = df.corr()['target'].to_dict()
+ d = df.corr()[target].to_dict()
  labels = sorted(d.items(), key=lambda x: x[1], reverse=True)
  
- labels.pop("target")
+ labels.pop(target)
  
  fig1 = plt.figure()
  hm = sns.heatmap(df.corr(), annot = True)
@@ -23,15 +21,15 @@ def findCorrelation(dataset, target):
  
  fig2 = plt.figure()
  # use the function regplot to make a scatterplot
- sns.regplot(x=labels.keys()[0], y=df["target"])
+ sns.regplot(x=labels.keys()[0], y=df[target])
  
  fig3 = plt.figure()
  # use the function regplot to make a scatterplot
- sns.regplot(x=labels.keys()[1], y=df["target"])
+ sns.regplot(x=labels.keys()[1], y=df[target])
 
  fig4 = plt.figure()
  # use the function regplot to make a scatterplot
- sns.regplot(x=labels.keys()[2], y=df["target"])
+ sns.regplot(x=labels.keys()[2], y=df[target])
  
  return labels, fig1, fig2, fig3, fig4