So I have a pandas DataFrame that looks like:
Compression Velocity Compression Force
1 -8.373589E-03 6.810879
2 -0.9864202 140.6932
3 -1.97424 158.4015
4 -2.984882 171.0502
5 -3.976808 178.6395
6 -4.987449 186.2288
7 -5.941944 191.2883
8 -6.952637 198.8775
9 -7.963353 203.937
10 -8.955353 208.9965
11 -9.947352 214.056
The first column, 'Compression Velocity', is recorded in inches/second and the second column, 'Compression Force', is in force-lbs. I want to convert the first column into meters/second and the second column into newtons. After reading through the pandas DataFrame documentation I believe that I can do column wise operations using the DataFrame.apply() function as described here.
However I am struggling to figure out how to apply one function convertToMeters
to the first column and convertToNewtons
for the second column.
If I try:
dataframe.apply(convertToMeters, axis=0)
or
dataframe.apply(converToNewtons, axis=0)
it will apply the respective function to each column and not just the desired column.
Is there a way to designate which column I want each function to be applied to?
For simple arithmetic like unit conversion, This will do it:
dataframe['Compression Velocity'] *= 0.0254