pyexcel-htmlr - Let you focus on data, instead of html format

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And your issues will get prioritized if you would like to become my patreon as pyexcel pro user.

With your financial support, I will be able to invest a little bit more time in coding, documentation and writing interesting posts.

Known constraints

Fonts, colors and charts are not supported.

Installation

You can install pyexcel-htmlr via pip:

$ pip install pyexcel-htmlr

or clone it and install it:

$ git clone https://github.com/pyexcel/pyexcel-htmlr.git
$ cd pyexcel-htmlr
$ python setup.py install

Usage

As a standalone library

>>> import os >>> import sys >>> if sys.version_info[0] < 3: ... from StringIO import StringIO ... else: ... from io import BytesIO as StringIO >>> PY2 = sys.version_info[0] == 2 >>> if PY2 and sys.version_info[1] < 7: ... from ordereddict import OrderedDict ... else: ... from collections import OrderedDict >>> import pyexcel as pe >>> book_data = {"Sheet 1": [[1, 2, 3], [4, 5, 6]], "Sheet 2": [["row 1", "row 2", "row 3"]]} >>> pe.save_book_as(bookdict=book_data, dest_file_name="your_file.html")

Read from an html file

Here's the sample code:

>>> from pyexcel_htmlr import get_data
>>> data = get_data("your_file.html")
>>> import json
>>> print(json.dumps(data))
{"Table 1": [[1, 2, 3], [4, 5, 6]], "Table 2": [["row 1", "row 2", "row 3"]]}

Read from an html from memory

Continue from previous example:

>>> # This is just an illustration
>>> # In reality, you might deal with html file upload
>>> # where you will read from requests.FILES['YOUR_HTML_FILE']
>>> with open('your_file.html', 'r') as html_file:
...    io = StringIO(html_file.read().encode())
...    data = get_data(io)
>>> print(json.dumps(data))
{"Table 1": [[1, 2, 3], [4, 5, 6]], "Table 2": [["row 1", "row 2", "row 3"]]}

Pagination feature

Let's assume the following file is a huge html file:

>>> huge_data = [
...     [1, 21, 31],
...     [2, 22, 32],
...     [3, 23, 33],
...     [4, 24, 34],
...     [5, 25, 35],
...     [6, 26, 36]
... ]
>>> sheetx = {
...     "Table 1": huge_data
... }
>>> pe.save_book_as(dest_file_name="huge_file.html", bookdict=sheetx)

And let's pretend to read partial data:

>>> partial_data = get_data("huge_file.html", start_row=2, row_limit=3)
>>> print(json.dumps(partial_data))
{"Table 1": [[3, 23, 33], [4, 24, 34], [5, 25, 35]]}

And you could as well do the same for columns:

>>> partial_data = get_data("huge_file.html", start_column=1, column_limit=2)
>>> print(json.dumps(partial_data))
{"Table 1": [[21, 31], [22, 32], [23, 33], [24, 34], [25, 35], [26, 36]]}

Obvious, you could do both at the same time:

>>> partial_data = get_data("huge_file.html",
...     start_row=2, row_limit=3,
...     start_column=1, column_limit=2)
>>> print(json.dumps(partial_data))
{"Table 1": [[23, 33], [24, 34], [25, 35]]}

>>> os.unlink("huge_file.html")

As a pyexcel plugin

No longer, explicit import is needed since pyexcel version 0.2.2. Instead, this library is auto-loaded. So if you want to read data in html format, installing it is enough.

Reading from an html file

Here is the sample code:

>>> import pyexcel as pe
>>> sheet = pe.get_book(file_name="your_file.html")
>>> sheet
Table 1:
+---+---+---+
| 1 | 2 | 3 |
+---+---+---+
| 4 | 5 | 6 |
+---+---+---+
Table 2:
+-------+-------+-------+
| row 1 | row 2 | row 3 |
+-------+-------+-------+

Reading from a IO instance

You got to wrap the binary content with stream to get html working:

>>> # This is just an illustration
>>> # In reality, you might deal with html file upload
>>> # where you will read from requests.FILES['YOUR_HTML_FILE']
>>> htmlfile = "your_file.html"
>>> with open(htmlfile, "rb") as f:
...     content = f.read()
...     r = pe.get_book(file_type="html", file_content=content)
...     print(r)
...
Table 1:
+---+---+---+
| 1 | 2 | 3 |
+---+---+---+
| 4 | 5 | 6 |
+---+---+---+
Table 2:
+-------+-------+-------+
| row 1 | row 2 | row 3 |
+-------+-------+-------+

License

New BSD License

Developer guide

Development steps for code changes

1. git clone https://github.com/pyexcel/pyexcel-htmlr.git
2. cd pyexcel-htmlr

Upgrade your setup tools and pip. They are needed for development and testing only:

1. pip install --upgrade setuptools pip

Then install relevant development requirements:

1. pip install -r rnd_requirements.txt # if such a file exists
2. pip install -r requirements.txt
3. pip install -r tests/requirements.txt

Once you have finished your changes, please provide test case(s), relevant documentation and update CHANGELOG.rst.

Note

As to rnd_requirements.txt, usually, it is created when a dependent library is not released. Once the dependecy is installed (will be released), the future version of the dependency in the requirements.txt will be valid.

How to test your contribution

Although nose and doctest are both used in code testing, it is adviable that unit tests are put in tests. doctest is incorporated only to make sure the code examples in documentation remain valid across different development releases.

On Linux/Unix systems, please launch your tests like this:

$ make

On Windows systems, please issue this command:

> test.bat

Before you commit

Please run:

$ make format

so as to beautify your code otherwise travis-ci may fail your unit test.

And make sure you would have run moban command

Additional steps are required:

1. pip install moban
2. make your changes in .moban.d directory, then issue command moban
3. moban

otherwise travis-ci may also fail your unit test.

What is .moban.d

.moban.d stores the specific meta data for the library.

>>> import os >>> os.unlink("your_file.html")