Python 如何在过滤掉数据框中具有特定值的行后创建数据框的反转

我有一个数据框，其中有一些行有特殊字符（“+”），我想过滤和删除这些行。“+”在每一列中

    Acceleration    Aggression  Agility Balance Ball control    Composure   Crossing    Curve   Dribbling   Finishing   Free kick accuracy  GK diving   GK handling GK kicking  GK positioning  GK reflexes Heading accuracy    ID  Interceptions   Jumping Long passing    Long shots  Marking Penalties   Positioning Reactions   Short passing   Shot power  Sliding tackle  Sprint speed    Stamina Standing tackle Strength    Vision  Volleys
1495    72  80  68  59  68  69  54  59  71  79  44  15  7   6   16  16  69  211899  36  65  48  72  27  66  77  74  68  81  28  77  80  35  81  63  73
1496    54  76  60  53  68  68  44  68  63  46  76  11  14  6   9   9   76  205756  73  79  71  60  74  63  41  74  73  83  77  56  64  76  80  61  43
1497    75+1    66  68+2    64  77  72  75  62  73+2    44  46  15  10  8   13  11  64  193470  73  67+2    74+2    41  78  49  74  72+1    78  56  78+1    74+1    74+2    79  68+1    69  39

我试着用

df1=df.stack().str.contains(r'[+-/*]')

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创建一个过滤器，但我似乎无法让它工作。处理此问题的更好方法是什么？

列标题中的空格分隔符在示例数据中有点不一致。在所有列中用NaN替换无效数字的最简单方法如下所示

df = pd.read_csv(io.StringIO("""    Acceleration    Aggression  Agility  Balance  Ball control    Composure   Crossing    Curve   Dribbling   Finishing   Free kick accuracy  GK diving   GK handling  GK kicking  GK positioning  GK reflexes  Heading accuracy    ID  Interceptions   Jumping  Long passing    Long shots  Marking Penalties   Positioning Reactions   Short passing   Shot power  Sliding tackle  Sprint speed    Stamina  Standing tackle  Strength    Vision  Volleys
1495    72  80  68  59  68  69  54  59  71  79  44  15  7   6   16  16  69  211899  36  65  48  72  27  66  77  74  68  81  28  77  80  35  81  63  73
1496    54  76  60  53  68  68  44  68  63  46  76  11  14  6   9   9   76  205756  73  79  71  60  74  63  41  74  73  83  77  56  64  76  80  61  43
1497    75+1    66  68+2    64  77  72  75  62  73+2    44  46  15  10  8   13  11  64  193470  73  67+2    74+2    41  78  49  74  72+1    78  56  78+1    74+1    74+2    79  68+1    69  39"""), sep="\s\s+", engine="python")

df.apply(pd.to_numeric, errors="coerce")

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您需要过滤掉哪些特殊字符？“+”是我在数据集中看到的唯一字符。现在只剩下带“+”的行了。谢谢你，罗伯。成功了！