Stuck with image dimension

Screen Link:

Need help figuring out the error.
As soon as I uncomment the "#x = 13110
#for year in [‘2006’, ‘2007’, ‘2008’, ‘2009’, ‘2010’]:

ax.text(x, 1.13, year, alpha=0.5, fontsize=11)

x += 365" I get the error.

I also got an error when using numbers instead of dates in the axvspan.
The code is obviously from the solution.
There is something I am not getting right.

Really need to understand what is going on to progress.

My Code:

import matplotlib.style as style
style.use('fivethirtyeight')

from datetime import datetime

### Adding the plot
fig,ax = plt.subplots(figsize=(8,3))
ax.plot(rate2006_2009['Time'],
        rate2006_2009['rolling_mean'],
        linewidth=1, color='#A6D785')

### Highlighting the 2007-2008 period
ax.plot(GFC2008['Time'],
        GFC2008['rolling_mean'],
        linewidth=3, color='#e23d28')

### Highlihting the peak of the crisis
ax.axvspan(xmin=(datetime(2008,6,1)), 
           xmax=(datetime(2007,5,30)), 
           ymin=0.02, alpha=0.3, color='grey')





### Adding separate tick labels
ax.set_xticklabels([])
ax.set_yticklabels([])


#x = 13110
#for year in ['2006', '2007', '2008', '2009', '2010']:
#    ax.text(x, 1.13, year, alpha=0.5, fontsize=11)
#    x += 365

#y = 1.193   
#for rate in ['1.2', '1.3', '1.4', '1.5']:
#    ax.text(13020, y, rate, alpha=0.5, fontsize=11)
#    y += 0.1

### Adding a title and a subtitle    
#ax.text(13020, 1.67, "Euro-USD rate peaked at 1.59 during 2007-2008's financial crisis",
#        weight='bold')
#ax.text(13020, 1.63, 'Euro-USD exchange rates between 2006 and 2010',
#        size=12)

### Adding a signature
#ax.text(13020, 1.07, '©DATAQUEST' + ' '*94 + 'Source: European Central Bank',
#        color = '#f0f0f0', backgroundcolor = '#4d4d4d',
#        size=10)

### Add some transparency to the grid
#ax.grid(alpha=0.5)

plt.show()

What I expected to happen:

What actually happened:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/dataquest/system/env/python3/lib/python3.8/site-packages/IPython/core/formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

/dataquest/system/env/python3/lib/python3.8/site-packages/IPython/core/pylabtools.py in <lambda>(fig)
    246 
    247     if 'png' in formats:
--> 248         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    249     if 'retina' in formats or 'png2x' in formats:
    250         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

/dataquest/system/env/python3/lib/python3.8/site-packages/IPython/core/pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    130         FigureCanvasBase(fig)
    131 
--> 132     fig.canvas.print_figure(bytes_io, **kw)
    133     data = bytes_io.getvalue()
    134     if fmt == 'svg':

/dataquest/system/env/python3/lib/python3.8/site-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)
   2117 
   2118             try:
-> 2119                 result = print_method(
   2120                     filename,
   2121                     dpi=dpi,

/dataquest/system/env/python3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py in print_png(self, filename_or_obj, metadata, pil_kwargs, *args, **kwargs)
    512         }
    513 
--> 514         FigureCanvasAgg.draw(self)
    515         if pil_kwargs is not None:
    516             from PIL import Image

/dataquest/system/env/python3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py in draw(self)
    386         Draw the figure using the renderer.
    387         """
--> 388         self.renderer = self.get_renderer(cleared=True)
    389         # Acquire a lock on the shared font cache.
    390         with RendererAgg.lock, \

/dataquest/system/env/python3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py in get_renderer(self, cleared)
    402                           and getattr(self, "_lastKey", None) == key)
    403         if not reuse_renderer:
--> 404             self.renderer = RendererAgg(w, h, self.figure.dpi)
    405             self._lastKey = key
    406         elif cleared:

/dataquest/system/env/python3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py in __init__(self, width, height, dpi)
     90         self.width = width
     91         self.height = height
---> 92         self._renderer = _RendererAgg(int(width), int(height), dpi)
     93         self._filter_renderers = []
     94 

ValueError: Image size of 312582x284 pixels is too large. It must be less than 2^16 in each direction.

<Figure size 800x300 with 1 Axes>
​

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