pandas dataframe;在將NaN轉換爲0時出現錯誤

我的數據框的最後一步是將所有NaN值轉換爲0（零）。我的數據框包含1000多列，有些是文本，有些是整數，有些是浮點數。楠轉換爲0，我用下面的命令：pandas dataframe;在將NaN轉換爲0時出現錯誤

#replace nan in columns with 0 
nan_cols = df5c.columns[df5c.isnull().any(axis=0)] 
for col in nan_cols: 
    df5c[col] = df5c[col].fillna(0).astype(int)

這工作得很好，直到我添加新數據的新列，它提供了以下錯誤：

Traceback (most recent call last): 
    File "pythonscript_v8.py", line 233, in <module> 
    df5c[col] = df5c[col].fillna(0).astype(int) 
    File "/usr/lib/python3/dist-packages/pandas/core/generic.py", line 2632, in astype 
    dtype=dtype, copy=copy, raise_on_error=raise_on_error, **kwargs) 
    File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 2864, in astype 
    return self.apply('astype', dtype=dtype, **kwargs) 
    File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 2823, in apply 
    applied = getattr(b, f)(**kwargs) 
    File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 430, in astype 
    values=values, **kwargs) 
    File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 472, in _astype 
    values = com._astype_nansafe(values.ravel(), dtype, copy=True) 
    File "/usr/lib/python3/dist-packages/pandas/core/common.py", line 2463, in _astype_nansafe 
    return lib.astype_intsafe(arr.ravel(), dtype).reshape(arr.shape) 
    File "pandas/lib.pyx", line 935, in pandas.lib.astype_intsafe (pandas/lib.c:16612) 
    File "pandas/src/util.pxd", line 60, in util.set_value_at (pandas/lib.c:66830) 
ValueError: invalid literal for int() with base 10: 'NODE_1_length_402490_cov_43.5825_ID_1'

這說明什麼錯誤的意思，我該如何解決這個問題？

我的數據框看起來是這樣的：

source  contigID        contig_length SCM/genes plasmid_genes/genes A053_1 parA_1 
COLS157_1 NODE_1_length_402490_cov_43.5825_ID_1 402490   0.87   0.95    NaN   NaN 
COLS157_10 NODE_10_length_218177_cov_45.105_ID_19 218177   0.79   0.97    NaN   NaN 
COLS157_100 NODE_157_length_248_cov_34.4628_ID_313 248    NaN   NaN     NaN   NaN 
COLS157_11 NODE_11_length_176130_cov_51.1495_ID_21 176130   0.75   0.86    NaN   NaN 
COLS157_12 NODE_12_length_165446_cov_50.2044_ID_23 165446   0.77   0.88    NaN   NaN

來源

2017-05-17 Gravel

這意味着你必須在列和大熊貓的一個值''NODE_1_length_402490_cov_43.5825_ID_1''無法轉換爲整型。它不是fillna部分，而是引發錯誤的'.type（int）'。 – ayhan

不看數據很難說，但它看起來像你試圖將字符串轉換爲int。這可能是由於您在給定列中的任何值丟失時正在循環遍歷整個列。你能發佈一些你的數據嗎？ – spies006

如果我理解正確的問題，這將工作。

nan_cols = df5c.columns[df5c.isnull().any(axis=0)] 

for col in nan_cols: 
    for i in range(len(df5c)): 
     if pd.isnull(df5c.loc[i, col]): 
      data.loc[i, col] = data.loc[i, col] = 0

來源

2017-05-17 18:29:45 spies006

pandas dataframe;在將NaN轉換爲0時出現錯誤

回答

相關問題