给定以下 pandas 数据框
+----+------------------+-------------------------------------+--------------------------------+
| | AgeAt_X | AgeAt_Y | AgeAt_Z |
|----+------------------+-------------------------------------+--------------------------------+
| 0 | Older than 100 | Older than 100 | 74.13 |
| 1 | nan | nan | 58.46 |
| 2 | nan | 8.4 | 54.15 |
| 3 | nan | nan | 57.04 |
| 4 | nan | 57.04 | nan |
+----+------------------+-------------------------------------+--------------------------------+
如何替换特定列中等于的值Older than 100
with nan
+----+------------------+-------------------------------------+--------------------------------+
| | AgeAt_X | AgeAt_Y | AgeAt_Z |
|----+------------------+-------------------------------------+--------------------------------+
| 0 | nan | nan | 74.13 |
| 1 | nan | nan | 58.46 |
| 2 | nan | 8.4 | 54.15 |
| 3 | nan | nan | 57.04 |
| 4 | nan | 57.04 | nan |
+----+------------------+-------------------------------------+--------------------------------+
Notes
- 删除后
Older than 100
来自所需列的字符串,我将列转换为数字,以便对所述列执行计算。
- 此数据框中还有其他列(我已从本示例中排除),这些列不会转换为数字,因此必须一次一列地转换为数字。
我尝试过的
尝试1
if df.isin('Older than 100'):
df.loc[df['AgeAt_X']] = ''
else:
df['AgeAt_X'] = pd.to_numeric(df["AgeAt_X"])
尝试2
if df.loc[df['AgeAt_X']] == 'Older than 100r':
df.loc[df['AgeAt_X']] = ''
elif df.loc[df['AgeAt_X']] == '':
df['AgeAt_X'] = pd.to_numeric(df["AgeAt_X"])
尝试3
df['AgeAt_X'] = ['' if ele == 'Older than 100' else df.loc[df['AgeAt_X']] for ele in df['AgeAt_X']]
尝试 1、2 和 3 返回以下错误:
KeyError: 'None of [0 NaN\n1 NaN\n2 NaN\n3 NaN\n4 NaN\n5 NaN\n6 NaN\n7 NaN\n8 NaN\n9 NaN\n10 NaN\n11 NaN\n12 NaN\n13 NaN\n14 NaN\n15 NaN\n16 NaN\n17 NaN\n18 NaN\n19 NaN\n20 NaN\n21 NaN\n22 NaN\n23 NaN\n24 NaN\n25 NaN\n26 NaN\n27 NaN\n28 NaN\n29 NaN\n ..\n6332 NaN\n6333 NaN\n6334 NaN\n6335 NaN\n6336 NaN\n6337 NaN\n6338 NaN\n6339 NaN\n6340 NaN\n6341 NaN\n6342 NaN\n6343 NaN\n6344 NaN\n6345 NaN\n6346 NaN\n6347 NaN\n6348 NaN\n6349 NaN\n6350 NaN\n6351 NaN\n6352 NaN\n6353 NaN\n6354 NaN\n6355 NaN\n6356 NaN\n6357 NaN\n6358 NaN\n6359 NaN\n6360 NaN\n6361 NaN\nName: AgeAt_X, Length: 6362, dtype: float64] are in the [index]'
尝试4
df['AgeAt_X'] = df['AgeAt_X'].replace({'Older than 100': ''})
尝试 4 返回以下错误:
TypeError: Cannot compare types 'ndarray(dtype=float64)' and 'str'
我也看了几个帖子。下面的两个实际上并不替换该值,而是创建一个从其他值派生的新列
替换 Pandas DataFrame 中的特定值
Pandas 替换 DataFrame 值