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pythonstringpandasnumpyfractions

How to convert feet and inches in fraction format to decimal?


I'm working with a dataframe that I've imported via pandas. I have a column that includes values of length that are in feet and inches formatted as a fraction.

I would like to do the following conversion:

Length           Length Decimal 
0'-10 11/64"     0.85
4'- 7 19/64"     4.61
0'- 3"           0.25
62'- 3 3/4"      62.31
58'- 5 43/64"    58.47
2'-11 13/16"     2.98

I imagine I would have to try to break out each segment of the string and convert them to decimal then add them all together. I have been using Excel for this task, so I'm unsure how to handle it in Python. Any help would be appreciated!


Solution

  • You can use regex, with named groups as @KlausD. suggest like this:

    df = df.assign(**df['Length'].str.extract(r"(?P<Feet>\d+)'-\s?(?P<Inches>\d+)\s?(?P<Num>\d+)?\/?(?P<Dem>\d+)?\"")\
                            .astype(float).fillna(0))
    df['Length Decimal'] = df.eval("Feet + Inches / 12") + np.where(df.Num == 0,0,(df["Num"]/df["Dem"])/12)
    df
    

    Output:

              Length  Length Decimal   Dem  Feet  Inches   Num
    0   0'-10 11/64"        0.847656  64.0   0.0    10.0  11.0
    1   4'- 7 19/64"        4.608073  64.0   4.0     7.0  19.0
    2         0'- 3"        0.250000   0.0   0.0     3.0   0.0
    3    62'- 3 3/4"       62.312500   4.0  62.0     3.0   3.0
    4  58'- 5 43/64"       58.472656  64.0  58.0     5.0  43.0
    5   2'-11 13/16"        2.984375  16.0   2.0    11.0  13.0