Bar Plot | teradataml - Bar Plot - Teradata Package for Python

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

• X-Axis must be a DataFrame Column.
• Y-Axis must be a DataFrame Column or a list of DataFrame Columns.
  • If Y-Axis is a DataFrame Column, a simple plot is generated.
  • If Y-Axis is a list of DataFrame Columns, a composite plot is generated.

    See Composite Plot for more details.

Example

The following example generates a bar plot which shows the movement of stockprice against the trading date.

• >>> load_example_data("movavg", "ibm_stock")

• >>> ibm_stock = DataFrame("ibm_stock")

  >>> ibm_stock

      name    period  stockprice
  id
  223  ibm  62/04/05       521.0
  19   ibm  61/06/13       487.0
  263  ibm  62/06/01       364.0
  61   ibm  61/08/11       497.0
  183  ibm  62/02/07       552.0
  265  ibm  62/06/05       370.0
  244  ibm  62/05/04       475.0
  305  ibm  62/08/01       385.0
  326  ibm  62/08/30       387.0
  122  ibm  61/11/08       596.0

• >>> plot = ibm_stock.plot(x=ibm_stock.period, y=ibm_stock.stockprice, kind='bar')

• >>> plot.show()