I am working on an algo trading project using the pandas and numpy libraries and would like to achieve the following result:

Current output:

1
0
0
2
0
2
0
0
4
0
0
0
5

desired output:

1
1
1
2
2
2
2
2
4
4
4
4
5

How do I go about this?

CodePudding user response：

Replace 0 by NA then fill forward:

df['col1'] = df['col1'].replace(0, pd.NA).ffill()
print(df)

# Output
    col1
0      1
1      1
2      1
3      2
4      2
5      2
6      2
7      2
8      4
9      4
10     4
11     4
12     5

CodePudding user response：

You can try the method argument of pandas.DataFrame.replace

df['col'] = df['col'].replace(to_replace=0, method='ffill')

print(df)

    col
0     1
1     1
2     1
3     2
4     2
5     2
6     2
7     2
8     4
9     4
10    4
11    4
12    5