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pythonpandasdataframeinterpolation

linear interpolation between two data points

I have two data points x and y:

  x = 5 (value corresponding to 95%)
  y = 17 (value corresponding to 102.5%)

No I would like to calculate the value for xi which should correspond to 100%. 

 x = 5 (value corresponding to 95%)
 xi = ?? (value corresponding to 100%)
 y = 17 (value corresponding to 102.5%)

How should I do this using python?

Solution

  • is that what you want?

    In [145]: s = pd.Series([5, np.nan, 17], index=[95, 100, 102.5])

In [146]: s
Out[146]:
95.0      5.0
100.0     NaN
102.5    17.0
dtype: float64

In [147]: s.interpolate(method='index')
Out[147]:
95.0      5.0
100.0    13.0
102.5    17.0
dtype: float64