KeyError: (slice(None, None, None), None)! about lydroo HOT 7 CLOSED

Hi, Thank you for sharing the code, when I ran the code, I got the flowing error message, please help me to solve this problem:

Traceback (most recent call last): File "/content/LyDROO/LyDROOwithTF2conv.py", line 183, in plot_rate(Q, 100, 'Data Queue of WDs') File "/content/LyDROO/LyDROOwithTF2conv.py", line 39, in plot_rate plt.plot(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).mean()) File "/usr/local/lib/python3.7/dist-packages/matplotlib/pyplot.py", line 2763, in plot is not None else {}), **kwargs) File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_axes.py", line 1647, in plot lines = [*self._get_lines(*args, data=data, **kwargs)] File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py", line 216, in call yield from self._plot_args(this, kwargs) File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py", line 332, in _plot_args y = _check_1d(tup[-1]) File "/usr/local/lib/python3.7/dist-packages/matplotlib/cbook/init.py", line 1349, in _check_1d ndim = x[:, None].ndim File "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py", line 2906, in getitem indexer = self.columns.get_loc(key) File "/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/range.py", line 358, in get_loc raise KeyError(key) KeyError: (slice(None, None, None), None)

Seems that the values of Q are empty when you run the plot_rate code on line 183.
You may execute the 'save all data' first to check the values by move lines 189-190 before line 183. All data will be saved in a .mat file for your debug.

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Hi, Thank you for sharing the code, when I ran the code, I got the flowing error message, please help me to solve this problem:
Traceback (most recent call last): File "/content/LyDROO/LyDROOwithTF2conv.py", line 183, in plot_rate(Q, 100, 'Data Queue of WDs') File "/content/LyDROO/LyDROOwithTF2conv.py", line 39, in plot_rate plt.plot(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).mean()) File "/usr/local/lib/python3.7/dist-packages/matplotlib/pyplot.py", line 2763, in plot is not None else {}), **kwargs) File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_axes.py", line 1647, in plot lines = [*self._get_lines(*args, data=data, **kwargs)] File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py", line 216, in call yield from self._plot_args(this, kwargs) File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py", line 332, in _plot_args y = _check_1d(tup[-1]) File "/usr/local/lib/python3.7/dist-packages/matplotlib/cbook/init.py", line 1349, in _check_1d ndim = x[:, None].ndim File "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py", line 2906, in getitem indexer = self.columns.get_loc(key) File "/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/range.py", line 358, in get_loc raise KeyError(key) KeyError: (slice(None, None, None), None)

Seems that the values of Q are empty when you run the plot_rate code on line 183. You may execute the 'save all data' first to check the values by move lines 189-190 before line 183. All data will be saved in a .mat file for your debug.

Thank you for your advice; I followed your instructions, but the problem persists.

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Thank you for your advice; I followed your instructions, but the problem persists. Do you have another suggestion for solving the problem?

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The 'data_queue' key in the .mat file is a NumPy.ndarray which has the correct values and is not empty. Can I draw the chart separately and independently?

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The problem seems to be from this line:
plt.plot(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).mean())

I changed it to:
plt.plot(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).mean()[0])

and I think the problem was solved!

The following error may help:

in plot_rate(rate_his, rolling_intv, ylabel)
14 fig, ax = plt.subplots(figsize=(15,8))
15
---> 16 plt.plot(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).mean())
17 plt.fill_between(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).min()[0], df.rolling(rolling_intv, min_periods=1).max()[0], alpha = 0.2)
18 plt.ylabel(ylabel)

/usr/local/lib/python3.7/dist-packages/matplotlib/pyplot.py in plot(scalex, scaley, data, *args, **kwargs)
2761 return gca().plot(
2762 *args, scalex=scalex, scaley=scaley, **({"data": data} if data
-> 2763 is not None else {}), **kwargs)
2764
2765

/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_axes.py in plot(self, scalex, scaley, data, *args, **kwargs)
1645 """
1646 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1647 lines = [*self._get_lines(*args, data=data, **kwargs)]
1648 for line in lines:
1649 self.add_line(line)

/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py in call(self, *args, **kwargs)
214 this += args[0],
215 args = args[1:]
--> 216 yield from self._plot_args(this, kwargs)
217
218 def get_next_color(self):

/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs)
330 if len(tup) == 2:
331 x = _check_1d(tup[0])
--> 332 y = _check_1d(tup[-1])
333 else:
334 x, y = index_of(tup[-1])

/usr/local/lib/python3.7/dist-packages/matplotlib/cbook/init.py in _check_1d(x)
1347 message='Support for multi-dimensional indexing')
1348
-> 1349 ndim = x[:, None].ndim
1350 # we have definitely hit a pandas index or series object
1351 # cast to a numpy array.

/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py in getitem(self, key)
2904 if self.columns.nlevels > 1:
2905 return self._getitem_multilevel(key)
-> 2906 indexer = self.columns.get_loc(key)
2907 if is_integer(indexer):
2908 indexer = [indexer]

/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/range.py in get_loc(self, key, method, tolerance)
356 except ValueError as err:
357 raise KeyError(key) from err
--> 358 raise KeyError(key)
359 return super().get_loc(key, method=method, tolerance=tolerance)

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