<p>你不能对熊猫做这种开箱即用的事——熊猫很好,但它不是魔法。在数据准备好以您想要的格式生成数据帧之前,您需要进行大量的操作。试着这样做:</p>
<pre><code>_dict={'NC_011745.1_islands.csv': [['PAI 1 EaaA, EibA : 3.1'],
['PAI 2 EaaA : 7.75'],
['PAI 3 Capsule : 4.428571428571429'],
['PAI 4 EaaA : 7.75'],
['PAI 5 ipaH : 7.75'],
['PAI 6 IreA, IrgA homolog adhesin (Iha) : '
'0.96875'],
['PAI 7 IrgA homolog adhesin (Iha), Aerobactin : '
'0.8157894736842105'],
['PAI 8 MsbB2, VirK : 2.8181818181818183'],
['PAI 9 Antigen 43, AIDA-I type : '
'1.3478260869565217']],
'NC_017632_islands.csv': [['PAI 1 Capsule : 15.857142857142858'],
['PAI 2 AAI/SCI-II, direct heme uptake system, '
'Colibactin, Colibactin : 1.819672131147541'],
['PAI 3 F9-like fimbriae, Type 1 fimbriae : '
'3.3636363636363638'],
['PAI 4 Ferrous iron transport : 5.045454545454546'],
['PAI 5 Cah, AIDA-I type, Salmochelin, S fimbriae : '
'2.707317073170732'],
['PAI 6 ECP, Tsh : 13.875'],
['PAI 7 ACE/AEC T6SS : 9.25'],
['PAI 8 Tia/Hek, P fimbriae, F17-like fimbriae, '
'AAI/SCI-II, CNF-1, Alpha-hemolysin, '
'hemagglutinin-like adhesin : 1.088235294117647']],
'NC_017646_islands.csv': [['PAI 1 Allantion utilization : 5.285714285714286'],
['PAI 2 direct heme uptake system : 4.44'],
['PAI 3 ipaH : 27.75'],
['PAI 4 P fimbriae, Aerobactin, Sat, IrgA homolog '
'adhesin (Iha), K1 capsule, K1 capsule, T2SS : '
'1.3058823529411765'],
['PAI 5 P fimbriae, Tia/Hek : 5.842105263157895'],
['PAI 6 VirK, MsbB2 : 10.090909090909092']]}
f = {}
for key, a in _dict.items():
e = {}
for b in a:
for c in b:
d = c.split(" : ")
d[0] = d[0].replace("PAI ", "")[2:]
d = {d[0]:d[1]}
e = {**e, **d}
f[key] = e
df = pd.DataFrame.from_dict(f, 'index')
</code></pre>
<p>您需要制定一个健壮的方法来解析字符串(可能是regex),但这应该可以让您开始</p>