Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Plotting Errors #181

Open
prajwalvinod opened this issue Jan 19, 2024 · 5 comments
Open

Plotting Errors #181

prajwalvinod opened this issue Jan 19, 2024 · 5 comments

Comments

@prajwalvinod
Copy link

prajwalvinod commented Jan 19, 2024

Hi @LucasAlegre,

After running a bunch of simulations for my environment, I try to plot some of the results that I get from the csv file but I get the following error:

python plots.py -f Outputs\dqn_test_conn0_ep1
Traceback (most recent call last):
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\groupby.py", line 1490, in array_func
    result = self.grouper._cython_operation(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 959, in _cython_operation
    return cy_op.cython_operation(
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 657, in cython_operation
    return self._cython_op_ndim_compat(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 497, in _cython_op_ndim_compat
    return self._call_cython_op(
           ^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 541, in _call_cython_op
    func = self._get_cython_function(self.kind, self.how, values.dtype, is_numeric)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 173, in _get_cython_function
    raise NotImplementedError(
NotImplementedError: function is not implemented for this dtype: [how->mean,dtype->object]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 1692, in _ensure_numeric
    x = float(x)
        ^^^^^^^^
ValueError: could not convert string to float: "{'r': 0.0, 'l': 20000, 't': 9204.664227}"

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 1696, in _ensure_numeric
    x = complex(x)
        ^^^^^^^^^^
ValueError: complex() arg is a malformed string

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\prajw\PythonFiles\Thesis\RL_for_Freeway\Hegyi_Model\plots.py", line 90, in <module>
    plot_df(main_df, xaxis=args.xaxis, yaxis=args.yaxis, label=next(labels), color=next(colors), ma=args.ma)
  File "C:\Users\prajw\PythonFiles\Thesis\RL_for_Freeway\Hegyi_Model\plots.py", line 45, in plot_df
    mean = df.groupby(xaxis).mean()[yaxis]
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\groupby.py", line 1855, in mean
    result = self._cython_agg_general(
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\groupby.py", line 1507, in _cython_agg_general
    new_mgr = data.grouped_reduce(array_func)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\internals\managers.py", line 1503, in grouped_reduce
    applied = sb.apply(func)
              ^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\internals\blocks.py", line 329, in apply
    result = func(self.values, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\groupby.py", line 1503, in array_func
    result = self._agg_py_fallback(values, ndim=data.ndim, alt=alt)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\groupby.py", line 1457, in _agg_py_fallback
    res_values = self.grouper.agg_series(ser, alt, preserve_dtype=True)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 994, in agg_series
    result = self._aggregate_series_pure_python(obj, func)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\ops.py", line 1015, in _aggregate_series_pure_python
    res = func(group)
          ^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\groupby\groupby.py", line 1857, in <lambda>
    alt=lambda x: Series(x).mean(numeric_only=numeric_only),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\generic.py", line 11556, in mean
    return NDFrame.mean(self, axis, skipna, numeric_only, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\generic.py", line 11201, in mean
    return self._stat_function(
           ^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\generic.py", line 11158, in _stat_function
    return self._reduce(
           ^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\series.py", line 4670, in _reduce
    return op(delegate, skipna=skipna, **kwds)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 96, in _f
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 158, in f
    result = alt(values, axis=axis, skipna=skipna, **kwds)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 421, in new_func
    result = func(values, axis=axis, skipna=skipna, mask=mask, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 727, in nanmean
    the_sum = _ensure_numeric(values.sum(axis, dtype=dtype_sum))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\nanops.py", line 1699, in _ensure_numeric
    raise TypeError(f"Could not convert {x} to numeric") from err
TypeError: Could not convert {'r': 0.0, 'l': 20000, 't': 9204.664227} to numeric

Any idea as to why there is such a complex error ?

Thanks

P.S. The python file is as given in the library just a changed name. The output files I'm using are given in the zipped folder.
Outputs.zip

@LucasAlegre
Copy link
Owner

Are you using Windows? I fear this may be due to Windows saving CSV files differently than Linux.

@prajwalvinod
Copy link
Author

Hey @LucasAlegre,

Yes I am running Windows 11. Is there a fix or a workaround to this ? And additionally is there anything wrong with the data in the saved files ?

Thanks.

@prajwalvinod
Copy link
Author

Hey @LucasAlegre,

I solved the above error by changing the "-sep" argument to ";" instead of ",". But now I get a new error as follows:

python plots.py -f Outputs\dqn_test_10\dqn_test_10_conn0_ep4.csv
Traceback (most recent call last):
  File "D:\Anaconda3\Lib\site-packages\pandas\core\indexes\base.py", line 3653, in get_loc
    return self._engine.get_loc(casted_key)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "pandas\_libs\index.pyx", line 147, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 176, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'system_total_waiting_time'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\prajw\PythonFiles\Thesis\RL_for_Freeway\Hegyi_Model\plots.py", line 90, in <module>
    plot_df(main_df, xaxis=args.xaxis, yaxis=args.yaxis, label=next(labels), color=next(colors), ma=args.ma)
  File "C:\Users\prajw\PythonFiles\Thesis\RL_for_Freeway\Hegyi_Model\plots.py", line 43, in plot_df
    df[yaxis] = pd.to_numeric(df[yaxis], errors="coerce")  # convert NaN string to NaN value
                              ~~^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\frame.py", line 3761, in __getitem__
    indexer = self.columns.get_loc(key)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Anaconda3\Lib\site-packages\pandas\core\indexes\base.py", line 3655, in get_loc
    raise KeyError(key) from err
KeyError: 'system_total_waiting_time'

I checked some other issue posts but I could not get a proper solution for the above error.
How do I get around this error ?

Thanks.

@prajwalvinod
Copy link
Author

prajwalvinod commented Jan 25, 2024

Hey @LucasAlegre,

Any idea as to why the above is happening ?
Additionally, is there any provision/way to plot rewards ?

Regards

Prajwal

@TerzaSlayer2000
Copy link

Hey @prajwalvinod
Did you solve the above plotting error?
KeyError: 'system_total_waiting_time'

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants