
Fonts, colors and charts are not supported.
You can install it 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
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If you are an individual, you are welcome to support me too on patreon and for however long you feel like to. As a patreon, you will receive early access to pyexcel related contents.
With your financial support, I will be able to invest a little bit more time in coding, documentation and writing interesting posts.
.. testcode:: :hide: >>> import os >>> import sys >>> import pyexcel as pe >>> 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 >>> >>> data = OrderedDict() # from collections import OrderedDict >>> data.update({"Sheet 1": [[1, 2, 3], [4, 5, 6]]}) >>> data.update({"Sheet 2": [["row 1", "row 2", "row 3"]]}) >>> book = pe.get_book(bookdict=data) >>> book.save_as("your_file.html")
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"]]}
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']
>>> data = get_data(book.stream.html)
>>> print(json.dumps(data))
{"Table 1": [[1, 2, 3], [4, 5, 6]], "Table 2": [["row 1", "row 2", "row 3"]]}
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 = {
... "huge": huge_data
... }
>>> pe.save_as(bookdict=sheetx, dest_file_name="huge_file.html")
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]]}
.. testcode:: :hide: >>> os.unlink("huge_file.html")
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.
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 |
+-------+-------+-------+
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, "r") 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 |
+-------+-------+-------+
New BSD License
Development steps for code changes
- git clone https://github.com/pyexcel/pyexcel-htmlr.git
- cd pyexcel-htmlr
Upgrade your setup tools and pip. They are needed for development and testing only:
- pip install --upgrade setuptools pip
Then install relevant development requirements:
- pip install -r rnd_requirements.txt # if such a file exists
- pip install -r requirements.txt
- 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.
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
Additional steps are required:
- pip install moban
- git clone https://github.com/pyexcel/pyexcel-commons.git commons
- make your changes in .moban.d directory, then issue command moban
Many information that are shared across pyexcel projects, such as: this developer guide, license info, etc. are stored in pyexcel-commons project.
.moban.d stores the specific meta data for the library.
- Has Test cases written
- Has all code lines tested
- Passes all Travis CI builds
- Has fair amount of documentation if your change is complex
- Agree on NEW BSD License for your contribution
.. testcode:: :hide: >>> import os >>> os.unlink("your_file.html")