What it is the most efficient way to shift and add extra row of data to match delta using python pandas -

what efficient way use pandas align , shift data add row 0 in or b columns if difference higher 2 abs, in order recursively make difference of a-b < 2 ex.-

[column a]  [diff - b]   [column b]  0                0             0  4.54             4.54          0       <-- need add 0 shift 4.54             0             4.54 4.54             0             4.54 4.54            -3.04          1.5       after added   [column a]  [diff - b]   [column b]      0                0             0      0                0             0      0               -4.54          4.54    <--recursive need same     4.54             0             4.54     4.54             0             4.54     4.54            -3.04          1.5 

the whole idea push data match on lower diff. if notice need add , shift every time find diff absolute higher 2 on column or column b

• split dataframe before , after
  df0, df1 = df.iloc[:1], df.iloc[1:]
• create series of goes in between
  s = pd.series(0, df.columns).to_frame().t
• concatenate 3
  pd.concat([df0, s, df1], ignore_index=true)

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df0, df1 = df.iloc[:1], df.iloc[1:] s = pd.series(0, df.columns).to_frame().t pd.concat([df0, s, df1], ignore_index=true)