将Python数据结构输出到重构的DText有哪些方法
我有一个Python元组列表,我想将其输出到StructuredText中的表中将Python数据结构输出到重构的DText有哪些方法,python,restructuredtext,Python,Restructuredtext,我有一个Python元组列表,我想将其输出到StructuredText中的表中 docutils库非常支持将StructuredText转换为其他格式,但我想直接从内存中的数据结构写入StructuredText。我不知道有任何库可以从python数据结构输出RST,但是自己格式化它很容易。下面是将python元组列表格式化为RST表的示例: >>> data = [('hey', 'stuff', '3'), ('table', 'row', 'so
docutils库非常支持将StructuredText转换为其他格式,但我想直接从内存中的数据结构写入StructuredText。我不知道有任何库可以从python数据结构输出RST,但是自己格式化它很容易。下面是将python元组列表格式化为RST表的示例:
>>> data = [('hey', 'stuff', '3'),
('table', 'row', 'something'),
('xy', 'z', 'abc')]
>>> numcolumns = len(data[0])
>>> colsizes = [max(len(r[i]) for r in data) for i in range(numcolumns)]
>>> formatter = ' '.join('{:<%d}' % c for c in colsizes)
>>> rowsformatted = [formatter.format(*row) for row in data]
>>> header = formatter.format(*['=' * c for c in colsizes])
>>> output = header + '\n' + '\n'.join(rowsformatted) + '\n' + header
>>> print output
===== ===== =========
hey stuff 3
table row something
xy z abc
===== ===== =========
>>数据=[('hey','stuff','3'),
(‘表’、‘行’、‘某物’),
('xy','z','abc')]
>>>numcolumns=len(数据[0])
>>>colsize=[max(len(r[i])表示数据中的r)表示范围中的i(numcolumns)]
>>>格式化程序=''.join('{:
以下是我用于快速和脏的重构文本表的代码:
def make_table(grid):
cell_width = 2 + max(reduce(lambda x,y: x+y, [[len(item) for item in row] for row in grid], []))
num_cols = len(grid[0])
rst = table_div(num_cols, cell_width, 0)
header_flag = 1
for row in grid:
rst = rst + '| ' + '| '.join([normalize_cell(x, cell_width-1) for x in row]) + '|\n'
rst = rst + table_div(num_cols, cell_width, header_flag)
header_flag = 0
return rst
def table_div(num_cols, col_width, header_flag):
if header_flag == 1:
return num_cols*('+' + (col_width)*'=') + '+\n'
else:
return num_cols*('+' + (col_width)*'-') + '+\n'
def normalize_cell(string, length):
return string + ((length - len(string)) * ' ')
@cieplak的回答很好。我对它进行了一些改进,使列的大小可以独立调整
print make_table( [ ['Name', 'Favorite Food', 'Favorite Subject'],
['Joe', 'Hamburgrs', 'I like things with really long names'],
['Jill', 'Salads', 'American Idol'],
['Sally', 'Tofu', 'Math']])
===== ============= ====================================
Name Favorite Food Favorite Subject
===== ============= ====================================
Joe Hamburgrs I like things with really long names
----- ------------- ------------------------------------
Jill Salads American Idol
----- ------------- ------------------------------------
Sally Tofu Math
===== ============= ====================================
这是密码
def make_table(grid):
max_cols = [max(out) for out in map(list, zip(*[[len(item) for item in row] for row in grid]))]
rst = table_div(max_cols, 1)
for i, row in enumerate(grid):
header_flag = False
if i == 0 or i == len(grid)-1: header_flag = True
rst += normalize_row(row,max_cols)
rst += table_div(max_cols, header_flag )
return rst
def table_div(max_cols, header_flag=1):
out = ""
if header_flag == 1:
style = "="
else:
style = "-"
for max_col in max_cols:
out += max_col * style + " "
out += "\n"
return out
def normalize_row(row, max_cols):
r = ""
for i, max_col in enumerate(max_cols):
r += row[i] + (max_col - len(row[i]) + 1) * " "
return r + "\n"
这里是@cieplak的代码,添加了对字符串和多行支持的转换。也许它对某些人有用
def make_table(grid):
cell_width = 2 + max(reduce(lambda x,y: x+y, [[max(map(len, str(item).split('\n'))) for item in row] for row in grid], []))
num_cols = len(grid[0])
rst = table_div(num_cols, cell_width, 0)
header_flag = 1
for row in grid:
split_row = [str(cell).split('\n') for cell in row]
lines_remaining = 1
while lines_remaining>0:
normalized_cells = []
lines_remaining = 0
for cell in split_row:
lines_remaining += len(cell)
if len(cell) > 0:
normalized_cell = normalize_cell(str(cell.pop(0)), cell_width - 1)
else:
normalized_cell = normalize_cell('', cell_width - 1)
normalized_cells.append(normalized_cell)
rst = rst + '| ' + '| '.join(normalized_cells) + '|\n'
rst = rst + table_div(num_cols, cell_width, header_flag)
header_flag = 0
return rst
看看包裹。
它可以通过以下方式输出RST格式:
print tabulate(table, headers, tablefmt="rst")
您可以选择从Python转储到CSV中,然后使用RST的CSV表功能,如中所示
它有一个:file:指令,只包含一个包含数据的csv文件
print tabulate(table, headers, tablefmt="rst")