好的，所以我正面临一个问题，从上周开始，我的tsv，我想修改和转换成一个熊猫数据框架。
所以我的文件是这样的:
'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']]}
我想修改它并将其导出为pandas数据框架，如下所示:
\ EaaA, EibA EaaA Capsule ipaH IreA, IrgA homolog adhesin (Iha) ...
NC_011745.1 3.1 7.75 4.4285.. 7.75 0.96875
NC_017632 NA NA 15.8574 NA NA
对我来说主要的问题是把它作为一个数据帧，我试过:
df = pd.DataFrame([dict]).T
df.to_tsv()
但是它说这个功能不是和tsv一起工作，而是和csv一起工作
谢谢你帮助我，顺便说一句，对不起我的英语:）
你不能用熊猫开箱就做这件事--熊猫很好，但它不是魔法。 在数据准备好以所需格式生成数据帧之前，您将需要进行大量操作。 尝试如下所示:
_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')
您需要找到一种健壮的方法来解析字符串--可能是regex--但这应该是您的入门。
