我有以下数据框 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
我正在尝试根据年龄值对数据框索引进行排序:
In [25]: h.sort_index(h.sort_values('age'))
这会引发错误:
TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed
我错过了什么？有任何想法吗？
最佳答案
那是你要的吗？
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
关于python - "TypeError: ' DataFrame ' objects are mutable, thus they cannot be hashed"同时对 Pandas 数据帧索引进行排序，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/43054217/