Pandas 如何获取行的索引？

Question

import pandas as pd
data = pd.read_csv('traj2_Binarization.csv', sep=",", index_col="NAME")

for index, row in data.iterrows():
    print(row)

- - -结果 - - - 运行3 0 罗迪 0 FSTL3 0 摩科斯 0 PDCD7 1 MYO15A 0 MYO9B 0 MAP1LC3A 0 待定1D19 0 ASIC1 0 RAP1A 0 阿拉普3 0 IQSEC2 0 HIVEP3 0

这里，我怎样才能把结果转换成下面呢？

RUNX3 = False
ROGDI = False
FSTL3 = False
MOCOS = False
PDCD7 = True
.
.
.

Answer 1

除了@jezrael 的回答，如果版本低于 3.6：

for index, row in data.iterrows():
    print('%s = %s'%(index,bool(row['whatever is the column'])))

或者：

for index, row in data.iterrows():
    print('{0} = {1}'.format(index,bool(row['whatever is the column'])))

或者：

for index, row in data.iterrows():
    print(index,'=',bool(row['whatever is the column']))

所有输出：

RUNX3 = False
ROGDI = False
FSTL3 = False
MOCOS = False
PDCD7 = True
MYO15A = False
MYO9B = False
MAP1LC3A = False
TBC1D19 = False
ASIC1 = False
RAP1A = False
ARAP3 = False
IQSEC2 = False
HIVEP3 = False

Answer 2

使用f-strings 选择一项系列以通过row["NAME"] 标量并转换为bool：

#python 3.6 +
for index, row in data.iterrows():
    print(f'{index} = {bool(row["RUNX3"])}')

#python bellow 3.6
for index, row in data.iterrows():
    print('{} = {}'.format(index, bool(row["RUNX3"])))

RUNX3 = False
ROGDI = False
FSTL3 = False
MOCOS = False
PDCD7 = True
MYO15A = False
MYO9B = False
MAP1LC3A = False
TBC1D19 = False
ASIC1 = False
RAP1A = False
ARAP3 = False
IQSEC2 = False
HIVEP3 = False

---

for index, row in data.iterrows():
    print(index, bool(row["RUNX3"]))

RUNX3 False
ROGDI False
FSTL3 False
MOCOS False
PDCD7 True
MYO15A False
MYO9B False
MAP1LC3A False
TBC1D19 False
ASIC1 False
RAP1A False
ARAP3 False
IQSEC2 False
HIVEP3 False

对于布尔值Series 使用astype：

s = data["RUNX3"].astype(bool)
print (s)
RUNX3       False
ROGDI       False
FSTL3       False
MOCOS       False
PDCD7        True
MYO15A      False
MYO9B       False
MAP1LC3A    False
TBC1D19     False
ASIC1       False
RAP1A       False
ARAP3       False
IQSEC2      False
HIVEP3      False
Name: NAME, dtype: bool