Bryan Fok - 4 months ago 48

Python Question

What's the best way to do this with pandas dataframe? I want to loop through a dataframe, and compute the difference between the current value and the next value which is different than the current value.

For example:

[13, 13, 13, 14, 13, 12]

will create a new column with this

[-1, -1, -1, 1, 1]

Answer

How about use `diff`

to calculate the difference and then back fill 0 with the next non zero value:

```
import pandas as pd
import numpy as np
df = pd.DataFrame({"S": [13, 13, 13, 14, 13, 12]})
df.S.diff(-1).replace(0, np.nan).bfill() # replace zero with nan and apply back fill.
# 0 -1
# 1 -1
# 2 -1
# 3 1
# 4 1
# 5 NaN
# Name: S, dtype: float64
```