About plot_logs

[youarefree123]

Hello, thanks for your wonderful work!

When I finish training and get log.txt, I want to visualize it using plot_logs, as follows：

But I get an ERROR on this line： https://github.com/IDEA-opensource/DN-DETR/blob/f41c276fe0af61a8acfbd32dfdde5d00291b3cf9/util/plot_utils.py#L65

Traceback (most recent call last):
  File "H:/yjs/code/DN-DETR-main/tmp.py", line 53, in <module>
    fig, axs = plot_logs(log_path)
  File "H:\yjs\code\DN-DETR-main\util\plot_utils.py", line 65, in plot_logs
    df.interpolate().ewm(com=ewm_col).mean().plot(
  File "H:\Anaconda\lib\site-packages\pandas\util\_decorators.py", line 311, in wrapper
    return func(*args, **kwargs)
  File "H:\Anaconda\lib\site-packages\pandas\core\frame.py", line 10712, in interpolate
    return super().interpolate(
  File "H:\Anaconda\lib\site-packages\pandas\core\generic.py", line 6899, in interpolate
    new_data = obj._mgr.interpolate(
  File "H:\Anaconda\lib\site-packages\pandas\core\internals\managers.py", line 377, in interpolate
    return self.apply("interpolate", **kwargs)
  File "H:\Anaconda\lib\site-packages\pandas\core\internals\managers.py", line 327, in apply
    applied = getattr(b, f)(**kwargs)
  File "H:\Anaconda\lib\site-packages\pandas\core\internals\blocks.py", line 1369, in interpolate
    new_values = values.fillna(value=fill_value, method=method, limit=limit)
  File "H:\Anaconda\lib\site-packages\pandas\core\arrays\_mixins.py", line 218, in fillna
    value, method = validate_fillna_kwargs(
  File "H:\Anaconda\lib\site-packages\pandas\util\_validators.py", line 372, in validate_fillna_kwargs
    method = clean_fill_method(method)
  File "H:\Anaconda\lib\site-packages\pandas\core\missing.py", line 120, in clean_fill_method
    raise ValueError(f"Invalid fill method. Expecting {expecting}. Got {method}")
ValueError: Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got linear

My version of pandas is 1.3.5

I don't know if I am using it in a wrong way or it is a bug in pandas, how can I fix it?

[FengLi-ust]

Hey, this is directly copied from dab detr and we did not verify it. You can refer to dab detr for more information about the requirements of pandas. Thank you.