Subplotting with Every Individual Plot Occupies Different Areas in Figure - Subplotting with Every Individual Plot Occupies Different Areas in Figure - Teradata Package for Python

This example shows the steps to subplot with every individual plot occupies different areas in figure.

Example

• >>> load_example_data("weightedmovavg", "stock_vol")

• Axis and Figure using subplots().

  >>> fig, axes = subplots(grid={(1,1): (1, 1), (1,2): (1,1), (2, 1): (1, 2)})

• >>> stock_vol = DataFrame("stock_vol")

  >>> stock_vol

     name    period  stockprice     volume
  id
  3    pg  61/05/19      17.625  1582000.0
  3    pg  61/05/23      17.625   608800.0
  3    pg  61/05/24      17.750  1038800.0
  3    pg  61/05/25      17.250   911200.0
  3    pg  61/05/29      18.000  1672800.0
  3    pg  61/05/31      18.000  1735600.0
  3    pg  61/05/26      17.500  2005600.0
  3    pg  61/05/22      17.750   317200.0
  3    pg  61/05/18      18.250  1435200.0
  3    pg  61/05/17      18.375  1032000.0
  

• >>> ge_df = stock_vol[stock_vol.name == "ge"]

  >>> pg_df = stock_vol[stock_vol.name == "pg"]

  >>> ibm_df = stock_vol[stock_vol.name == "ibm"]

• >>> ge_plot = ge_df.plot(x=ge_df.period,
                           y=ge_df.stockprice,
                           ax=axes[0],
                           figure=fig,
                           title="GE Stock Price",
                           style="green")

  >>> pg_plot = pg_df.plot(x=pg_df.period,
                           y=pg_df.stockprice,
                           ax=axes[1],
                           figure=fig,
                           title="PG Stock Price",
                           style="red")

  >>> ibm_plot = ibm_df.plot(x=ibm_df.period,
                             y=ibm_df.stockprice,
                             ax=axes[2],
                             figure=fig,
                             title="IBM Stock Price",
                             style="blue",
                             kind='bar')