I have a following dataframe h:
In [24]: h.head() Out[24]: alpha1 alpha2 gamma1 gamma2 chi2min gender age filename F35_HC_532d.dat 0.0000 0.000 NaN 0.00 1.000000e+25 F 35 M48_HC_551d.dat 0.7353 3.943 0.425922 0.15 2.072617e+01 M 48 M24_HC_458d.dat 0.7777 4.754 0.463753 0.15 1.390893e+01 M 24 M48_HC_552d.dat 0.7633 3.672 0.394370 0.15 1.965052e+01 M 48 M40_HC_506d.dat 0.7793 3.271 0.513597 0.20 1.089716e+01 M 40
I am trying to sort the dataframe index according to age values:
In [25]: h.sort_index(h.sort_values('age'))
This throws an error:
TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed
What am I missing? Any ideas?
Is that what you want?
In [14]: h Out[14]: alpha1 alpha2 gamma1 gamma2 chi2min gender age filename F35_HC_532d.dat 0.0000 0.000 NaN 0.00 1.000000e+25 F 35 M48_HC_551d.dat 0.7353 3.943 0.425922 0.15 2.072617e+01 M 48 M24_HC_458d.dat 0.7777 4.754 0.463753 0.15 1.390893e+01 M 24 M48_HC_552d.dat 0.7633 3.672 0.394370 0.15 1.965052e+01 M 48 M40_HC_506d.dat 0.7793 3.271 0.513597 0.20 1.089716e+01 M 40 In [15]: h.sort_values('age') Out[15]: alpha1 alpha2 gamma1 gamma2 chi2min gender age filename M24_HC_458d.dat 0.7777 4.754 0.463753 0.15 1.390893e+01 M 24 F35_HC_532d.dat 0.0000 0.000 NaN 0.00 1.000000e+25 F 35 M40_HC_506d.dat 0.7793 3.271 0.513597 0.20 1.089716e+01 M 40 M48_HC_551d.dat 0.7353 3.943 0.425922 0.15 2.072617e+01 M 48 M48_HC_552d.dat 0.7633 3.672 0.394370 0.15 1.965052e+01 M 48
I think your index is filename. Maybe you could try something like:
h['index1'] = h.index h.sort_values(by=['index1', 'age'])
But also it will not make so much sense since it will not change the order. Alternatively you can try:
h.sort_values(by='age')
Then:
h.reindex([range(some_number)])
