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

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
March 2024
Language
English (United States)
Last Update
2024-04-09
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Product Category
Teradata Vantage

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()

    Bar Plot