Return a list of the lines in the string, breaking at line boundaries. Line breaks are not included in the resulting list unless keepends is given and true. """ pass def startswith(self, prefix, start=None, end=None): # real signature unknown; restored from __doc__ """ S.startswith...
zeros(shape[, dtype, order]) Return a matrix of given shape and type, filled with zeros. ones(shape[, dtype, order]) Matrix of ones. eye(n[, M, k, dtype, order]) Return a matrix with ones on the diagonal and zeros elsewhere. identity(n[, dtype]) Returns the square identity matr...
result = op(x, y)# handles discrepancy between numpy and numexpr on division/mod by 0# though, given that these are generally (always?) non-scalars, I'm# not sure whether it's worth it at the momentresult = com._fill_zeros(result, y, fill_zeros)returnresult 开发者ID:ErwcPKerr,项...
| Padding is done using the specified fill character (default is a space). | | lower(self, /) | Return a copy of the string converted to lowercase. | | lstrip(self, chars=None, /) | Return a copy of the string with leading whitespace removed. | | If chars is given and not None...
Return a copy of the string with only its first character capitalized. For 8-bit strings, this method is locale-dependent. str.center(width[, fillchar]) Return centered in a string of length width. Padding is done using the specified fillchar (default is a space). ...
5 A string is alphabetic if all characters in the string are alphabetic and there6 is at least one character in the string.7 """ 1. 2. 3. 4. 源码 2. isdecimal isdigit 都是用来判断目标字符串是否是数字,上面这个是在十进制范围内,下面这个不光能判断纯文本,还能判断复杂符号。
deviation = []clegth = len(close)for i in range(N - 1, clegth ): if i + N < clegth : dev = close [i: i + N] else: dev = close [-N:] averages = np.zeros(N) averages.fill(sma[i - N - 1]) #fill()函数可以用一个指定的标量值填充数组,而这个标量值也是 fill 函数...
| Return a copy of the string S converted to uppercase. | | zfill(...) | S.zfill(width) - > string | | Pad a numeric string S with zeros on the left, to fill a field | of the specified width. The string S is never truncated. ...
(list()).median() np.log np.percentile(arr,99) np.sqrt np.power(array1,3) np.hstack np.vstack np.ones np.zeros np.shape(# can get list dimensions) np.nonzero() np.exp np.eye np.diag np.sin np.max # single max map(max, a, b) # item by item max np.argmax() # index...
Next, you pad your matrix on the right by appending the fourth column filled with zeros. After that, you reshape the matrix again by flattening it into another sequence of bytes, with an extra zero for every fourth element. Finally, you reinterpret the bytes as 32-bit signed integers ("<...