Compositing Correlation Plot | teradataml - Compositing Correlation Plot - Teradata Package for Python

Example

• >>> load_example_data("uaf", ["acf"])
  

• >>> df = DataFrame("acf")

  >>> df

      ROW_I     OUT_v  CONF_OFF_v  CONF_LOW_v  CONF_HI_v
  id
  1       2  0.828499    0.484255    0.344244   1.312753
  1       4  0.481562    0.653203   -0.171641   1.134765
  1       5  0.274737    0.682560   -0.407822   0.957297
  1       6  0.064830    0.691846   -0.627016   0.756677
  1       8 -0.310745    0.694562   -1.005307   0.383817
  1       9 -0.454362    0.706218   -1.160581   0.251856
  1       7 -0.134393    0.692360   -0.826753   0.557967
  1       3  0.670858    0.592091    0.078767   1.262949
  1       1  0.941700    0.290772    0.650928   1.232471
  1       0  1.000000    0.000000    1.000000   1.000000
  >>>
  

• >>> ndf = df.assign(OUT_v2=df.OUT_v * 2, CONF_OFF_v2=df.CONF_OFF_v * 2)

  >>> ndf.plot(x=ndf.ROW_I, y=[(ndf.OUT_v, ndf.CONF_OFF_v), (ndf.OUT_v2, ndf.CONF_OFF_v2)],
  ...          kind='corr', color=["orange", "brown"], legend=["out1", "out2"])