Screen Link:Learn data science with Python and R projects
My Code:
import matplotlib.style as style
style.use('fivethirtyeight')
fig, ax= plt.subplots(figsize=(8,3))
ax.plot(euro_to_dollar_2020['Time'],euro_to_dollar_2020['rolling_mean_30'],
linewidth=1)
ax.plot(euro_to_dollar_2016_2019['Time'],euro_to_dollar_2016_2019['rolling_mean_30'],
linewidth=1)
for location in ['left','right','top','bottom']:
ax.spines[location].set_visible(False)
ax.set_xticklabels([])
ax.set_yticklabels([])
x = 13200
for year in ['2016','2017','2018','2019','2020']:
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
ax.text(13020,1.67,'EURO-USD rate comparison: 2020 vs 2016-2019', weight='bold')
ax.text(13020, 1.07,'@Dataquest' + ' ' *80 + 'Source:European Central Bank',size=10)
plt.show()
What I expected to happen:
no error
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 255863x574 pixels is too large. It must be less than 2^16 in each direction.
<Figure size 800x300 with 1 Axes>
Comments:
I change the x, y amount and text sentences and added transform=ax.transAxes and it still doesn’t work. 