02_RNN_generator_temperatures_playground:

[SinanGabel]

utils_display.picture_this_4() does not run (without any changes).

I get the below error information running jupyter on Ubuntu desktop 18.04. It is the same problem with:

utils_display.picture_this_6()

By commenting out these the notebook runs without problems.

And thanks by the way for the great videos and playgrounds, they really upgrade ones neural network understanding and learning!

---

AttributeError Traceback (most recent call last)

in () 7 visu_dates = evdates[START_DATE:END_DATE] 8 ----> 9 utils_display.picture_this_4(visu_temperatures, visu_dates) ~/git-public/tensorflow-without-a-phd/tensorflow-rnn-tutorial/tutorial/utils_display.py in picture_this_4(temperatures, dates) 73 if interpolated_sequence: 74 # light shade of red just for visibility ---> 75 plt.axvspan(startdate+np.timedelta64(-5, 'D'), stopdate+np.timedelta64(6, 'D'), facecolor='#FFCCCC', alpha=1) 76 # actual interpolated region 77 plt.axvspan(startdate+np.timedelta64(-1, 'D'), stopdate+np.timedelta64(1, 'D'), facecolor='#FF8888', alpha=1) /usr/local/lib/python3.6/dist-packages/matplotlib/pyplot.py in axvspan(xmin, xmax, ymin, ymax, hold, **kwargs) 2753 mplDeprecation) 2754 try: -> 2755 ret = ax.axvspan(xmin, xmax, ymin=ymin, ymax=ymax, **kwargs) 2756 finally: 2757 ax._hold = washold /usr/local/lib/python3.6/dist-packages/matplotlib/axes/_axes.py in axvspan(self, xmin, xmax, ymin, ymax, **kwargs) 904 905 # first we need to strip away the units --> 906 xmin, xmax = self.convert_xunits([xmin, xmax]) 907 ymin, ymax = self.convert_yunits([ymin, ymax]) 908 /usr/local/lib/python3.6/dist-packages/matplotlib/artist.py in convert_xunits(self, x) 189 if ax is None or ax.xaxis is None: 190 return x --> 191 return ax.xaxis.convert_units(x) 192 193 def convert_yunits(self, y): /usr/local/lib/python3.6/dist-packages/matplotlib/axis.py in convert_units(self, x) 1524 return x 1525 -> 1526 ret = self.converter.convert(x, self.units, self) 1527 return ret 1528 /usr/local/lib/python3.6/dist-packages/matplotlib/dates.py in convert(value, unit, axis) 1814 The *unit* and *axis* arguments are not used. 1815 """ -> 1816 return date2num(value) 1817 1818 @staticmethod /usr/local/lib/python3.6/dist-packages/matplotlib/dates.py in date2num(d) 450 if not d.size: 451 return d --> 452 return _to_ordinalf_np_vectorized(d) 453 454 ~/.local/lib/python3.6/site-packages/numpy/lib/function_base.py in __call__(self, *args, **kwargs) 2753 vargs.extend([kwargs[_n] for _n in names]) 2754 -> 2755 return self._vectorize_call(func=func, args=vargs) 2756 2757 def _get_ufunc_and_otypes(self, func, args): ~/.local/lib/python3.6/site-packages/numpy/lib/function_base.py in _vectorize_call(self, func, args) 2823 res = func() 2824 else: -> 2825 ufunc, otypes = self._get_ufunc_and_otypes(func=func, args=args) 2826 2827 # Convert args to object arrays first ~/.local/lib/python3.6/site-packages/numpy/lib/function_base.py in _get_ufunc_and_otypes(self, func, args) 2783 2784 inputs = [arg.flat[0] for arg in args] -> 2785 outputs = func(*inputs) 2786 2787 # Performance note: profiling indicates that -- for simple /usr/local/lib/python3.6/dist-packages/matplotlib/dates.py in _to_ordinalf(dt) 253 tzi = UTC 254 --> 255 base = float(dt.toordinal()) 256 257 # If it's sufficiently datetime-like, it will have a `date()` method AttributeError: 'numpy.datetime64' object has no attribute 'toordinal'

[martin-gorner]

Thanks for reporting. Let me look into this. I am glad it works if you comment out the display lines but you are missing out on the visualizations.

[martin-gorner]

OK, I tested and the code runs perfectly for me. I am using the latest version of tensorflow and matplotlib.

[martin-gorner]

It looks like it is a known problem: https://stackoverflow.com/questions/47404653/pandas-0-21-0-timestamp-compatibility-issue-with-matplotlib

It appears the problem has been resolved so you should get the notebook working by upgrading to the latest version of everything.

[SinanGabel]

Thank you, Martin.

I first tried by updating my different software versions but that did not help but a fix from this page did it: https://github.com/matplotlib/matplotlib/issues/9610

I.e. adding the two lines after import pandas, then utils_display.picture_this_4() & _6() work.

import pandas
import pandas.plotting._converter as pandacnv
pandacnv.register()

from matplotlib import pyplot as plt

import utils_prettystyle
import utils_display