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)