.. versionadded:: 1.2.0 **kwargs These parameters will be passed to `tabulate <https://pypi.org/project/tabulate>`_. Returns --- str DataFrame in Markdown-friendly format. Notes --- Requires the `tabulate <https://pypi.org/project/tabulate>`_ package. Examples --- >>> s = ...
5. Data:JSON,Pickle,CSV,SQLite,Bytes,Struct,Array,MemoryView,Deque. 6. Advanced:Threading,Operator,Introspection,...
map(worker, (tasks[pos:pos + 100] for pos in range(0, len(tasks), 100))) task_descs += sum(descs, []) page_output(tabulate(task_descs, args)) Example #7Source File: model.py From neural-fingerprinting with BSD 3-Clause "New" or "Revised" License 6 votes def fprop(self,...
Is immutable and hashable. That means it can be used as a key in a dictionary or as an element in a set. <frozenset> =frozenset(<collection>) Tuple Tuple is an immutable and hashable list. <tuple> = () <tuple> = (<el>, ) ...
fromtabulateimporttabulate#自动输出markdown格式表格importpandasaspddefpprint(name,**kwargs):print('***')print('*','```'+name+'```','is called\n')df=pd.DataFrame(kwargs.items(),columns=['param','value'])print(tabulate(df,tablefmt='pipe',headers='keys',showindex=False))print('***...
The core of this recipe concerns the use of theheapqmodule. The functionsheapq.heappush()andheapq.heappop()insert and remove items from a list_queuein a way such that the first item in the list has the smallest priority. Theheappop()method always returns the "smallest" item, so that is...
File must be opened with a 'newline=""' argument, or newlines embedded inside quoted fields will not be interpreted correctly! To print the spreadsheet to the console use Tabulate library. For XML and binary Excel files (xlsx, xlsm and xlsb) use Pandas library. Reader accepts any iterator ...
# $ pip3 install tabulate from tabulate import tabulate import csv with open(<filename>, encoding='utf-8', newline='') as file: lines = csv.reader(file) headers = [header.title() for header in next(lines)] table = tabulate(lines, headers) print(table) Cursesfrom curses import ...
# $ pip3 install tabulate import csv, tabulate with open('test.csv', encoding='utf-8', newline='') as file: rows = csv.reader(file) header = [a.title() for a in next(rows)] table = tabulate.tabulate(rows, header) print(table) Curses Clears the terminal, prints a message and ...
False is returned if both return NotImplemented. Ne() automatically works on any object that has eq() defined. class MyComparable: def __init__(self, a): self.a = a def __eq__(self, other): if isinstance(other, type(self)): return self.a == other.a return NotImplemented ...