包含各种函数的python模块
rkpython的Python项目详细描述
rkpython公司
说明
包含一些通用函数的模块
安装
使用
pip install rkpython
然后使用
importrkpythonasrk
功能
rk.to_txt(l, path = 'text_file.txt', overwrite = False, verbose = False)
Saves a list to a .txt file.
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l : list, default is None
List object to be saved.
path : str, default is 'text_file.txt'
File path (with file name) you want to save to.
overwrite : bool, default is False
Overwrites the file if it exists.
verbose : boolean, default is False
Prints out a message if the operation was succesful
--------------
Examples :
>>> rk.to_txt(var_list, './documents/vars.txt', verbose = True)
File successfully written to ./documents/vars.txt
rk.read_txt(path = 'text_file.txt', verbose = False)
Reads from a text file, saving the result as a list, where each line is one item.
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path : str, default = 'text_file.txt'
File path (with file name) you want to read from. Can be any type of file (.txt, .csv...)
verbose : boolean, default is False
Prints out a message if the operation was succesful
--------------
Examples :
>>> var_list = rk.read_txt('./documents/vars.txt', verbose = True)
File successfully read from ./documents/vars.txt
rk.h_size(size)
Converts a size in bytes to a humanly readable size, with 1 decimal number. Input an integer, returns a string.
--------------
size : float, int
Size of the object you want to convert, in bytes.
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Examples :
>>> h_size(67108864)
'64.0 Mb'
rk.get_mem(nb_objects = 10)
警告：此函数无法访问全局变量，因此当前不起作用。但是，您可以从源代码中复制该函数并在python会话中定义它，以便它访问正确的变量
Prints out a list of the largest objects stored in memory, as well as the total memory usage of global variables. Returns a string.
--------------
nb_objects : int, default = 10
Maximum number of items to be printed out.
--------------
Examples :
>>> get_mem(5)
Total usage : 25.3 Gb
5 largest objects :
_477 : 1.7 Gb
_529 : 1.7 Gb
_437 : 1.4 Gb
_412 : 1.3 Gb
_415 : 1.3 Gb
rk.csv_info(file)
Returns information about a csv or text file, such as the encoding and separators infered using csv's Sniffer() function.
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file : str
Path to the file you want to read.
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csv_info().size :
Returns the size of the file as a string.
csv_info().separator :
Returns the infered separator as a string.
csv_info().quotechar :
Returns the infered quote character as a string, defaults to ["].
csv_info().encoding :
Returns the infered encoding using chardet. Defaults to ascii.
csv_info().rawdata :
Returns a 8192 byte sample of the file, unencoded.
csv_info().rows :
Returns the number of rows in the csv file.
csv_info().columns :
Returns the columns of the csv file.
csv_info().parameters :
Returns the separator, quotechar and encoding of the file to plug them in pandas or dask.
csv_info().info() :
Prints out the main characteristics of the file.
--------------
Examples :
>>> csv_info("table.csv").encoding
'utf-8'
>>> sep, quotechar, encoding = csv_info("table.csv").parameters
>>> df = pandas.read_csv("table.csv", sep=sep, quotechar=quotechar, encoding=encoding)
>>> print(sep, quotechar, encoding)
; " utf-8
rk.sql_dict(con, db_filter = '.*', table_filter = '.*', col_filter = '.*', strict=False)
Creates a dictionary listing all databases, tables and columns of a MySql server. Results can be filtered using regex.
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con : SQLAlchemy connectable (engine/connection) or database string URI or DBAPI2 connection (fallback mode)
db_filter : str or list of str, default is '.*'
Filters on databases containing the specified regular expression(s).
table_filter : str or list of str, default is '.*'
Filters on tables containing the specified regular expression(s).
column_filter : str or list of str, default is '.*'
Filters on columns containing the specified regular expression(s).
strict : boolean, default is False
Returns only strict matches instead of partial matches.
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Examples :
>>> temp_dict = sql_dict(con = f'mysql://{user}:{pw}@{host}:{port}', col_filter = 'price')
>>> temp_dict.keys()
dict_keys(['products'])
>>> temp_dict['products'].keys()
dict_keys(['phones', 'laptops'])
>>> temp_dict['products']['phones']
['price_without_tax',
'price_with_tax']
rk.humantime(ms)
Converts timespan in milliseconds to a humanly readable string.
--------------
ms : int or float
Time in milliseconds
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Examples :
>>> humantime(194159)
'3 min, 14 sec, 159 ms'
rk.timer
Class for measuring elapsed time.
Contains the rk.timer.start() function to save the current time, and the rk.timer.end() to print out the elapsed time.
--------------
Example :
>>> rk.timer.start()
>>> time.sleep(2)
>>> rk.timer.end("Sleep time")
[Sleep time] : 2 sec, 2 ms
rk.timer.start()&；rk.timer.end(step = "Time")
rk.timer.start() saves the current time as a global variable, then prints out the time elapsed with rk.timer.end()
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step : str or int, default "Time"
--------------
Example :
>>> rk.timer.start()
>>> time.sleep(2)
>>> rk.timer.end("Sleep time")
[Sleep time] : 2 sec, 2 ms
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