循环并将数据保存到同一个表中

Question

I am looping through 5 data frames (space separated) and doing some calculations or modifications. After the calculation is done on the first table I would like to save results into the same table by overwriting it and repeat this for all 5 data frames.

At the moment I am know how to write the first part:

table = sorted(glob.glob('*.dat'))

for i in table:
    data = pd.read_table(i, delim_whitespace=True, header=None, names=range(5))
    here I am doing some calculation
    and here I would like to save data into the same table by overwriting (but I do not know how)

Any advice or help is more than welcome.

Thanks.

Answer 1

This is straight forward. Let me know if you are looking for anything else.

# sample dataframes
d1 = pd.DataFrame({'one' : [1., 2., 3., 4.], 'two' : [4., 3., 2., 1.]})
d2 = pd.DataFrame({'one' : [5., 6., 7., 8.], 'two' : [9., 10., 11., 12.]})
d3 = pd.DataFrame({'one' : [15., 16., 17., 18.], 'two' : [19., 10., 11., 12.]})

# list of dataframes
mydfs = [d1, d2, d3]

for i in mydfs:
    i['three'] = i['one'] + i['two']
    print(i)

If you check the dataframes after running the above code, you will see each of the dataframes will have column 'three'