Scatter Plot | teradataml - Scatter 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 scatter 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.

Scatter plot supports different markers and you can also choose the size of the marker. See Options for Plotting section for more details.

Example

  • >>> 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
  • >>> ibm_stock.plot(x=ibm_stock.period, y=ibm_stock.stockprice,
                       kind='scatter', xlabel='', ylabel='',
                       color="orange", grid_color='brown',
                       grid_linewidth=2, grid_linestyle="-.",
                       marker="p", marker_size=8)

    Scatter Plot