| | split(...) | S.split(sep=None, maxsplit=-1) -> list of strings | | Return a list of the words in S, using sep as the | delimiter string. If maxsplit is given, at most maxsplit | splits are done. If sep is not specified or is None, any | whitespace string is a ...
split([sep [,maxsplit]]) -> list of strings 316 317 Return a list of the words in the string S, using sep as the 318 delimiter string. If maxsplit is given, at most maxsplit 319 splits are done. If sep is not specified or is None, any 320 whitespace string is a separator ...
str.split(s[, num]) # 以s为分隔符切片str num=string.count(str)) 以 str 为分隔符截取字符串,如果 num 有指定值,则仅截取 num+1 个子字符串 str.splitlines([keepends]) # 按照行分隔,返回一个包含各行作为元素的列表.按照行('\r', '\r\n', \n')分隔,返回一个包含各行作为元素的列表,如果...
split) Help on built-in function split: split(...) S.split([sep [,maxsplit]]) -> list of strings #sep为分隔符,默认为空格 最大分隔次数 Return a list of the words in the string S, using sep as the delimiter string. If maxsplit is given, at most maxsplit splits are done. If ...
一:pandas简介 Pandas 是一个开源的第三方 Python 库,从 Numpy 和 Matplotlib 的基础上构建而来,享有数据分析“三剑客之一”的盛名(NumPy、Matplotlib、Pandas)。Pandas 已经成为 Python 数据分析的必备高级工具,它的目标是成为强大、
split(self, sep=None, maxsplit=-1): # real signature unknown; restored from __doc__ (通过指定分隔符对字符串进行切片,如果参数num有指定值,则仅分隔num个字符串) """ S.split(sep=None, maxsplit=-1) -> list of strings Return a list of the words in S, using sep as the delimiter ...
str.split(sep=None,maxsplit=-1) Return a list of the words in the string, usingsepas the delimiter string. Ifmaxsplitis given, at mostmaxsplitsplits are done (thus, the list will have at mostmaxsplit+1elements). Ifmaxsplitis not specified or-1, then there is no limit on the numbe...
def rsplit(self, *args, **kwargs): # real signature unknown """ Return a list of the words in the string, using sep as the delimiter string. sep The delimiter according which to split the string. None (the default value) means split according to any whitespace, ...
to_pickle('test2.pickle')#将资料存取成pickle文件 3 #其他文件导入导出方式相同 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/io/parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, ...
split() divides a string by a delimiter, while list() converts each string character into a separate list element. For example: # Using split() string = "apple,banana,cherry" list_of_fruits = string.split(",") print(list_of_fruits) # Output: ['apple', 'banana', 'cherry'] # Usin...