1==int
Out[14]: False
type(1)==int
Out[15]: True
' 1'
if c == 5 or 6
s1=[
["AAAAAAAA BBBBBBBB CCCCCCCC", "dddddddd@mail.ru"],
["AAAAAAAA BBBBBBBB CCCCCCCC", "eeeeeeeee@mail.ru"],
["AAAAAAAA BBBBBBBB CCCCCCCC", "ffffffffffff-SV@mail.ru"],
["AAAAAAAA BBBBBBBB CCCCCCCC", "ggggggggg-SV@mail.ru"],
["AAAAAAAA BBBBBBBB CCCCCCCC", "hhhhhhhh-SV@mail.ru"]
]
d1={x[1]:x[0] for x in s1}
fio=set(d1.values()) #уникальные фио
for f in fio:
fEmails=[x for x in d1 if d1[x]==f]
print (f)
print (*fEmails, sep=',')
df1=pandas.read_excel('c:\\work\\file1.xlsx", header=0)[:-1]
#без последней строки, header=0 если заголовки в первой строке
df1.to_excel('c:\\work\\file2.xlsx', index=False)
A=[1, 2, 3, 4, 5, 6]
n=2
m=3
c=0
B=[[0]*m for i in range (n)]
for i in range (n):
for j in range (m):
B[i][j]=A[c]
c+=1
print (B)
gender = face_analyze(image).get('gender')
def what(file, h=None):
f = None
try:
if h is None:
if isinstance(file, basestring):
f = open(file, 'rb')
h = f.read(32)
else:
location = file.tell()
h = file.read(32)
file.seek(location)
for tf in tests:
res = tf(h, f)
if res:
return res
finally:
if f: f.close()
return None