替换和过滤值错误：“ValueError：使用序列设置数组元素。”

Question

I've this df:

VELWIND
0
1
34
54
2
3
25

What I'm trying to do is filter values between 0 and 30, and write nan if df >= 30 . The df.type is float64

I have this code:

df['VELWIND_filt']=df.loc[(df['VELWIND'] > 0) & (df['VELWIND'] < 30) & (df['VELWIND'] >=30, np.nan)]

but I have this error:

ValueError: setting an array element with a sequence.

I was testing that it gave an error, and it is this part specifically:

(df['VELWIND'] >=30, np.nan)

EDIT SOLVED:

I solved this problem used this line:

df['VELWIND_filt'] = np.where((df['VELWIND'] < 0) | (df['VELWIND'] >= 30), np.nan, df['VELWIND'])

Answer 1

Is this what you want?

df[(df['VELWIND'] < 0) | (df['VELWIND'] >= 30)] = np.nan
print(df)

If you want to add it as new column, create the new column first THEN make the changes:

df['VELWIND_FILT'] = df['VELWIND']
df[(df['VELWIND_FILT'] < 0) | (df['VELWIND_FILT'] >= 30)] = np.nan
print(df)