Question

我有一个数据熊猫数据框和一个将行添加到现有数据框的函数

  df = pd.DataFrame()   
  df.columns = ['A', 'Line', 'B']

   # add a new row at the end of non-indexed df
  def addRow(self, colData, colNames):

     l = len(df)

    colList = []


    for x in colData :
       colList.append(str(x))

    new_record = pd.DataFrame([tuple(colDList)])
    new_record['Line'] = new_record['Line'].astype(int)

  I am getting following error 
  Traceback (most recent call last):



File 
  line 207, in addRow
  new_record[colName] = new_record[colName].astype(int)
   File "site-packages/pandas/core/generic.py", line 3054, in astype
    raise_on_error=raise_on_error, **kwargs)
    File "python-3.6.1/linux_x86_64/lib/python3.6/site-packages/pandas/core/internals.py", line 3168, in astype
    return self.apply('astype', dtype=dtype, **kwargs)
   File "core/internals.py", line 3035, in apply
  applied = getattr(b, f)(**kwargs)
 File "site-packages/pandas/core/internals.py", line 462, in astype
values=values, **kwargs)
 File "internals.py", line 505, in _astype
  values = _astype_nansafe(values.ravel(), dtype, copy=True)
   File "ckages/pandas/types/cast.py", line 534, in _astype_nansafe
   return lib.astype_intsafe(arr.ravel(), dtype).reshape(arr.shape)
    File "pandas/lib.pyx", line 983, in pandas.lib.astype_intsafe 
   (pandas/lib.c:16816)
     File "pandas/src/util.pxd", line 74, in util.set_value_at (pandas/lib.c:69655)

ValueError：以10为底的int（）无效文字：

有人可以帮助我解决值错误

Answer 1

在注释中与Sai保持一致，因为如何将public void Refresh(object sender = null, EventArgs e = null) { Leagues = new ObservableCollection<League>(_Locator.Statistix.Leagues.ToList()); foreach(League l in Leagues) { l.Teams.RemoveAll(x => x.Year == SelectedYear); } Leagues.RemoveAll(x => x.Teams.Count == 0); }转换为整数，所以请使用'A'：

pd.to_numeric

大声笑，现在您爱熊猫：-）

如何解决ValueError：将行附加到Pandas数据时

1 个答案: