I have a dataframe like this :
A B C E D
---------------
0 a r g g
1 x
2 x f f r
3 t
3 y
I am trying for forward filling using ffill. It is not working
cols = df.columns[:4].tolist()
df[cols] = df[cols].ffill()
I also tried :
df[cols] = df[cols].fillna(method='ffill')
But it is not getting filled. Is it the empty columns in data causing this issue?
Data is mocked. Exact data is different (contains strings,numbers and empty columns)
desired o/p:
A B C E D
---------------
0 a r g g
1 a r g x
2 x f f r
3 x f f t
3 x f f y
用NaN
替换列子集中的空值:
df[cols] = df[cols].replace('', np.nan).ffill()
You should replace the empty strings with np.NaN
before:
df = df.replace('', np.NaN)
df[cols] = df[cols].ffill()
Replace ''
with np.nan
first:
df[df='']=np.nan
df[cols] = df[cols].ffill()
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