Open snowljs opened 1 week ago
s.pct_change(periods=2).execute()
0 NaN
1 NaN
2 NaN
0 NaN
1 NaN
2 NaN
0 0.000000
1 0.011111
2 -0.055556
dtype: float64
s.pct_change(fill_method='ffill').execute()
0 NaN
1 NaN
2 NaN
0 0.000000
1 0.011111
2 -0.055556
0 -0.010989
1 0.000000
2 -0.065934
dtype: float64
maxframe
df = md.DataFrame({
'FR': [4.0405, 4.0963, 4.3149],
'GR': [1.7246, 1.7482, 1.8519],
'IT': [804.74, 810.01, 860.13]},
index=['1980-01-01', '1980-02-01', '1980-03-01'])
df.pct_change().execute()
---
FR GR IT
1980-01-01 NaN NaN NaN
1980-02-01 NaN NaN NaN
1980-03-01 NaN NaN NaN
1980-01-01 0.000000 0.000000 0.000000
1980-02-01 0.013810 0.013684 0.006549
1980-03-01 0.067912 0.073814 0.068830
1980-01-01 -0.013622 -0.013500 -0.006506
1980-02-01 0.000000 0.000000 0.000000
1980-03-01 0.053365 0.059318 0.061876
---
pandas
df1 = pd.DataFrame({
'FR': [4.0405, 4.0963, 4.3149],
'GR': [1.7246, 1.7482, 1.8519],
'IT': [804.74, 810.01, 860.13]},
index=['1980-01-01', '1980-02-01', '1980-03-01'])
df1.pct_change()
---
FR | GR | IT
-- | -- | --
NaN | NaN | NaN
0.013810 | 0.013684 | 0.006549
0.053365 | 0.059318 | 0.061876
---
maxframe code
result
pandas code
result