How to keep the same dict value while filling the nans in pandas-CodePudding

Assume we have the dict having the median values of the features: infereddict = {sepalwidth : -0.03999432052319804, sepalheight :-0.08741807979521529, petalwitdh: -0.049475134763957505}

while we fill the nans in datafarame with the dict , it changes the value and gives below output sepalwidth -3.999432e-02 sepalheight -8.741808e-02 petalwitdh -4.947513e-02

Seems its ignoring the zeros, I need the exact same values from dict to fill the nans, how can we get it?

CodePudding user response：

Pandas is displaying the numbers in scientific notation. The values are equal to each other, it's just a different way of displaying numbers.

Some examples of comparing the two and converting between two formats

>>> # You can directly check that they're equal to each other
>>> -0.039994 == -3.9994e-2
True
>>> # Type in a number in scientific notation to see its decimal counterpart
>>> -8.741808e-02
-0.08741808
>>> # Use f-strings and ':e' to view a decimal in scientific notation format
>>> f"{-0.04947513:e}"
-4.947513e-02