339 lines
9.2 KiB
ReStructuredText
339 lines
9.2 KiB
ReStructuredText
================================================================================
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pyexcel-xls - Let you focus on data, instead of xls format
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================================================================================
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.. image:: https://api.travis-ci.org/pyexcel/pyexcel-xls.png
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:target: http://travis-ci.org/pyexcel/pyexcel-xls
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.. image:: https://codecov.io/github/pyexcel/pyexcel-xls/coverage.png
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:target: https://codecov.io/github/pyexcel/pyexcel-xls
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**pyexcel-xls** is a tiny wrapper library to read, manipulate and write data in xls format and it can read xlsx and xlsm fromat. You are likely to use it with `pyexcel <https://github.com/pyexcel/pyexcel>`_.
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Known constraints
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==================
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Fonts, colors and charts are not supported.
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Installation
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================================================================================
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You can install it via pip:
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.. code-block:: bash
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$ pip install pyexcel-xls
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or clone it and install it:
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.. code-block:: bash
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$ git clone http://github.com/pyexcel/pyexcel-xls.git
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$ cd pyexcel-xls
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$ python setup.py install
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Usage
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================================================================================
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As a standalone library
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--------------------------------------------------------------------------------
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Write to an xls file
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********************************************************************************
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.. testcode::
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:hide:
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>>> import os
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>>> import sys
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>>> if sys.version_info[0] < 3:
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... from StringIO import StringIO
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... else:
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... from io import BytesIO as StringIO
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>>> PY2 = sys.version_info[0] == 2
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>>> if PY2 and sys.version_info[1] < 7:
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... from ordereddict import OrderedDict
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... else:
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... from collections import OrderedDict
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Here's the sample code to write a dictionary to an xls file:
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.. code-block:: python
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>>> from pyexcel_xls import save_data
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>>> data = OrderedDict() # from collections import OrderedDict
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>>> data.update({"Sheet 1": [[1, 2, 3], [4, 5, 6]]})
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>>> data.update({"Sheet 2": [["row 1", "row 2", "row 3"]]})
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>>> save_data("your_file.xls", data)
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Read from an xls file
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********************************************************************************
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Here's the sample code:
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.. code-block:: python
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>>> from pyexcel_xls import get_data
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>>> data = get_data("your_file.xls")
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>>> import json
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>>> print(json.dumps(data))
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{"Sheet 1": [[1, 2, 3], [4, 5, 6]], "Sheet 2": [["row 1", "row 2", "row 3"]]}
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Write an xls to memory
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********************************************************************************
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Here's the sample code to write a dictionary to an xls file:
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.. code-block:: python
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>>> from pyexcel_xls import save_data
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>>> data = OrderedDict()
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>>> data.update({"Sheet 1": [[1, 2, 3], [4, 5, 6]]})
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>>> data.update({"Sheet 2": [[7, 8, 9], [10, 11, 12]]})
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>>> io = StringIO()
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>>> save_data(io, data)
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>>> # do something with the io
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>>> # In reality, you might give it to your http response
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>>> # object for downloading
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Read from an xls from memory
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********************************************************************************
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Continue from previous example:
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.. code-block:: python
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>>> # This is just an illustration
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>>> # In reality, you might deal with xls file upload
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>>> # where you will read from requests.FILES['YOUR_XLS_FILE']
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>>> data = get_data(io)
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>>> print(json.dumps(data))
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{"Sheet 1": [[1, 2, 3], [4, 5, 6]], "Sheet 2": [[7, 8, 9], [10, 11, 12]]}
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Pagination feature
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********************************************************************************
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Let's assume the following file is a huge xls file:
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.. code-block:: python
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>>> huge_data = [
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... [1, 21, 31],
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... [2, 22, 32],
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... [3, 23, 33],
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... [4, 24, 34],
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... [5, 25, 35],
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... [6, 26, 36]
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... ]
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>>> sheetx = {
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... "huge": huge_data
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... }
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>>> save_data("huge_file.xls", sheetx)
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And let's pretend to read partial data:
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.. code-block:: python
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>>> partial_data = get_data("huge_file.xls", start_row=2, row_limit=3)
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>>> print(json.dumps(partial_data))
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{"huge": [[3, 23, 33], [4, 24, 34], [5, 25, 35]]}
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And you could as well do the same for columns:
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.. code-block:: python
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>>> partial_data = get_data("huge_file.xls", start_column=1, column_limit=2)
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>>> print(json.dumps(partial_data))
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{"huge": [[21, 31], [22, 32], [23, 33], [24, 34], [25, 35], [26, 36]]}
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Obvious, you could do both at the same time:
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.. code-block:: python
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>>> partial_data = get_data("huge_file.xls",
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... start_row=2, row_limit=3,
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... start_column=1, column_limit=2)
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>>> print(json.dumps(partial_data))
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{"huge": [[23, 33], [24, 34], [25, 35]]}
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.. testcode::
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:hide:
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>>> os.unlink("huge_file.xls")
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As a pyexcel plugin
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--------------------------------------------------------------------------------
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No longer, explicit import is needed since pyexcel version 0.2.2. Instead,
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this library is auto-loaded. So if you want to read data in xls format,
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installing it is enough.
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Any version under pyexcel 0.2.2, you have to keep doing the following:
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Import it in your file to enable this plugin:
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.. code-block:: python
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from pyexcel.ext import xls
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Please note only pyexcel version 0.0.4+ support this.
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Reading from an xls file
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********************************************************************************
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Here is the sample code:
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.. code-block:: python
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>>> import pyexcel as pe
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>>> # from pyexcel.ext import xls
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>>> sheet = pe.get_book(file_name="your_file.xls")
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>>> sheet
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Sheet 1:
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+---+---+---+
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| 1 | 2 | 3 |
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+---+---+---+
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| 4 | 5 | 6 |
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+---+---+---+
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Sheet 2:
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+-------+-------+-------+
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| row 1 | row 2 | row 3 |
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+-------+-------+-------+
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Writing to an xls file
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********************************************************************************
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Here is the sample code:
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.. code-block:: python
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>>> sheet.save_as("another_file.xls")
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Reading from a IO instance
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********************************************************************************
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You got to wrap the binary content with stream to get xls working:
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.. code-block:: python
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>>> # This is just an illustration
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>>> # In reality, you might deal with xls file upload
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>>> # where you will read from requests.FILES['YOUR_XLS_FILE']
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>>> xlsfile = "another_file.xls"
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>>> with open(xlsfile, "rb") as f:
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... content = f.read()
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... r = pe.get_book(file_type="xls", file_content=content)
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... print(r)
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...
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Sheet 1:
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+---+---+---+
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| 1 | 2 | 3 |
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+---+---+---+
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| 4 | 5 | 6 |
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+---+---+---+
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Sheet 2:
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+-------+-------+-------+
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| row 1 | row 2 | row 3 |
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+-------+-------+-------+
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Writing to a StringIO instance
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********************************************************************************
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You need to pass a StringIO instance to Writer:
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.. code-block:: python
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>>> data = [
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... [1, 2, 3],
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... [4, 5, 6]
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... ]
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>>> io = StringIO()
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>>> sheet = pe.Sheet(data)
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>>> io = sheet.save_to_memory("xls", io)
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>>> # then do something with io
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>>> # In reality, you might give it to your http response
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>>> # object for downloading
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License
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================================================================================
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New BSD License
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Developer guide
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==================
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Development steps for code changes
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#. git clone https://github.com/pyexcel/pyexcel-xls.git
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#. cd pyexcel-xls
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Upgrade your setup tools and pip. They are needed for development and testing only:
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#. pip install --upgrade setuptools "pip==7.1"
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Then install relevant development requirements:
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#. pip install -r rnd_requirements.txt # if such a file exists
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#. pip install -r requirements.txt
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#. pip install -r tests/requirements.txt
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In order to update test environment, and documentation, additional setps are
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required:
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#. pip install moban
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#. git clone https://github.com/pyexcel/pyexcel-commons.git
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#. make your changes in `.moban.d` directory, then issue command `moban`
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What is rnd_requirements.txt
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-------------------------------
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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.
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What is pyexcel-commons
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---------------------------------
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Many information that are shared across pyexcel projects, such as: this developer guide, license info, etc. are stored in `pyexcel-commons` project.
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What is .moban.d
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---------------------------------
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`.moban.d` stores the specific meta data for the library.
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How to test your contribution
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------------------------------
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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.
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On Linux/Unix systems, please launch your tests like this::
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$ make test
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On Windows systems, please issue this command::
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> test.bat
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Known Issues
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=============
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* If a zero was typed in a DATE formatted field in xls, you will get "01/01/1900".
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* If a zero was typed in a TIME formatted field in xls, you will get "00:00:00".
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.. testcode::
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:hide:
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>>> import os
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>>> os.unlink("your_file.xls")
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>>> os.unlink("another_file.xls")
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