old_contents: """
  Multi-parameter symbols
  -------------------------
  
  The :meth:`pygmt.Figure.plot` method can plot individual multi-parameter symbols by passing 
  the corresponding shortcuts listed below to the ``style`` option. Additionally, we must define 
  the required parameters in a 2d list or numpy array (``[[parameters]]`` for a single symbol 
  or ``[[parameters_1],[parameters_2],[parameters_i]]`` for several ones) or use an 
  appropriately formatted input file and pass it to ``data``. 
  
  The following symbols are available:
  
  - **e**: ellipse, ``[[lon, lat, direction, major_axis, minor_axis]]``
  - **j**: rotated rectangle, ``[[lon, lat, direction, width, height]]``
  - **r**: rectangle, ``[[lon, lat, width, height]]``
  - **R**: rounded rectangle, ``[[lon, lat, width, height, radius]]``
  - **w**: pie wedge, ``[[lon, lat, radius, startdir, stopdir]]``, the last two arguments are 
    directions given in degrees counter-clockwise from horizontal 
  
  Upper-case versions **E**, **J**, and **W** are similar to **e**, **j** and **w** but expect geographic 
  azimuths and distances.
  
  For more advanced options, see the full option list at :gmt-docs:`plot.html`.
  """
  
  import numpy as np
  import pygmt
  
  fig = pygmt.Figure()
  
  fig.basemap(region=[0, 6, 0, 2], projection="x3c", frame=True)
  
  ###################
  # ELLIPSE
  data = np.array([[0.5, 1, 45, 3, 1]])
  
  fig.plot(data=data, style="e", color="orange", pen="2p,black")
  
  ###################
  # ROTATED RECTANGLE
  data = np.array([[1.5, 1, 120, 5, 0.5]])
  
  fig.plot(data=data, style="j", color="red3", pen="2p,black")
  
  ###################
  # RECTANGLE
  data = np.array([[3, 1, 4, 1.5]])
  
  fig.plot(data=data, style="r", color="dodgerblue", pen="2p,black")
  
  ###################
  # ROUNDED RECTANGLE
  data = np.array([[4.5, 1, 1.25, 4, 0.5]])
  
  fig.plot(data=data, style="R", color="seagreen", pen="2p,black")
  
  ###################
  # PIE WEDGE
  data = np.array([[5.5, 1, 2.5, 45, 330]])
  
  fig.plot(data=data, style="w", color="lightgray", pen="2p,black")
  
  fig.show()
  
new_contents: """
  Multi-parameter symbols
  -------------------------
  
  The :meth:`pygmt.Figure.plot` method can plot individual multi-parameter symbols by passing 
  the corresponding shortcuts listed below to the ``style`` argument. Additionally, we must define 
  the required parameters in a 2d list or numpy array (``[[parameters]]`` for a single symbol 
  or ``[[parameters_1],[parameters_2],[parameters_i]]`` for several ones) or use an 
  appropriately formatted input file and pass it to ``data``. 
  
  The following symbols are available:
  
  - **e**: ellipse, ``[[lon, lat, direction, major_axis, minor_axis]]``
  - **j**: rotated rectangle, ``[[lon, lat, direction, width, height]]``
  - **r**: rectangle, ``[[lon, lat, width, height]]``
  - **R**: rounded rectangle, ``[[lon, lat, width, height, radius]]``
  - **w**: pie wedge, ``[[lon, lat, radius, startdir, stopdir]]``, the last two arguments are 
    directions given in degrees counter-clockwise from horizontal 
  
  Upper-case versions **E**, **J**, and **W** are similar to **e**, **j** and **w** but expect geographic 
  azimuths and distances.
  
  For more advanced options, see the full option list at :gmt-docs:`plot.html`.
  """
  
  import numpy as np
  import pygmt
  
  fig = pygmt.Figure()
  
  fig.basemap(region=[0, 6, 0, 2], projection="x3c", frame=True)
  
  ###################
  # ELLIPSE
  data = np.array([[0.5, 1, 45, 3, 1]])
  
  fig.plot(data=data, style="e", color="orange", pen="2p,black")
  
  ###################
  # ROTATED RECTANGLE
  data = np.array([[1.5, 1, 120, 5, 0.5]])
  
  fig.plot(data=data, style="j", color="red3", pen="2p,black")
  
  ###################
  # RECTANGLE
  data = np.array([[3, 1, 4, 1.5]])
  
  fig.plot(data=data, style="r", color="dodgerblue", pen="2p,black")
  
  ###################
  # ROUNDED RECTANGLE
  data = np.array([[4.5, 1, 1.25, 4, 0.5]])
  
  fig.plot(data=data, style="R", color="seagreen", pen="2p,black")
  
  ###################
  # PIE WEDGE
  data = np.array([[5.5, 1, 2.5, 45, 330]])
  
  fig.plot(data=data, style="w", color="lightgray", pen="2p,black")
  
  fig.show()
  
subject: Fix a tiny typo in multi-parameter-symbols.py