Correlation Plot | teradataml - Correlation Plot

Use plot() function to generate a correlation plot on DataFrame.

X-Axis must be a DataFrame Column.
Y-Axis must be a tuple or list of tuples.
Tuple must contain only two elements. Both elements must be DataFrame Columns.
- If Y-Axis is a tuple,, a simple correlation plot is generated.
- If Y-Axis is a list of tuples, a composite correlation plot is generated.
  See Composite Plot for more details.

Example

The following example generates a correlation plot.

The color of this plot is orange and the plot has grid along with custom labels. All of these are additional options for plotting. See Options for Plotting for more details.

```
>>> 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

>>> df.plot(x=df.ROW_I, y=(df.OUT_v, df.CONF_OFF_v),
            kind='corr', color="orange", grid_color='blood',
            xlabel='xlabel', ylabel='ylabel',grid_linestyle="--")

Correlation Plot | teradataml - Correlation Plot - Teradata VantageCloud Lake

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Example