If your company uses pyexcel and its components in a revenue-generating product, please consider supporting the project on GitHub or Patreon <https://www.patreon.com/bePatron?u=5537627>_. Your financial support will enable me to dedicate more time to coding, improving documentation, and creating engaging content.

Known constraints

Fonts, colors and charts are not supported.

Nor to read password protected xls, xlsx and ods files.

Introduction

Feature Highlights

.. table:: A list of supported file formats

============ =======================================================
file format  definition
============ =======================================================
csv          comma separated values
tsv          tab separated values
csvz         a zip file that contains one or many csv files
tsvz         a zip file that contains one or many tsv files
xls          a spreadsheet file format created by
             MS-Excel 97-2003 
xlsx         MS-Excel Extensions to the Office Open XML
             SpreadsheetML File Format.
xlsm         an MS-Excel Macro-Enabled Workbook file
ods          open document spreadsheet
fods         flat open document spreadsheet
json         java script object notation
html         html table of the data structure
simple       simple presentation
rst          rStructured Text presentation of the data
mediawiki    media wiki table
============ =======================================================

.. image:: https://github.com/pyexcel/pyexcel/raw/dev/docs/source/_static/images/architecture.svg

One application programming interface(API) to handle multiple data sources:
- physical file
- memory file
- SQLAlchemy table
- Django Model
- Python data structures: dictionary, records and array
One API to read and write data in various excel file formats.
For large data sets, data streaming are supported. A genenerator can be returned to you. Checkout iget_records, iget_array, isave_as and isave_book_as.

Installation

You can install pyexcel via pip:

.. code-block:: bash

$ pip install pyexcel

or clone it and install it:

.. code-block:: bash

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

One liners

This section shows you how to get data from your excel files and how to export data to excel files in one line

Read from the excel files

Get a list of dictionaries

Suppose you want to process History of Classical Music <https://www.naxos.com/education/brief_history.asp>_:

History of Classical Music:

=============== ============= ==================================== Name Period Representative Composers Medieval c.1150-c.1400 Machaut, Landini Renaissance c.1400-c.1600 Gibbons, Frescobaldi Baroque c.1600-c.1750 JS Bach, Vivaldi Classical c.1750-c.1830 Joseph Haydn, Wolfgan Amadeus Mozart Early Romantic c.1830-c.1860 Chopin, Mendelssohn, Schumann, Liszt Late Romantic c.1860-c.1920 Wagner,Verdi Modernist 20th century Sergei Rachmaninoff,Calude Debussy =============== ============= ====================================

Let's get a list of dictionary out from the xls file:

.. code-block:: python

records = p.get_records(file_name="your_file.xls")

And let's check what do we have:

.. code-block:: python

for row in records: ... print(f"{row['Representative Composers']} are from {row['Name']} period ({row['Period']})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Early Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) Sergei Rachmaninoff,Calude Debussy are from Modernist period (20th century)

Get two dimensional array

Instead, what if you have to use pyexcel.get_array to do the same:

.. code-block:: python

for row in p.get_array(file_name="your_file.xls", start_row=1): ... print(f"{row[2]} are from {row[0]} period ({row[1]})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Early Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) Sergei Rachmaninoff,Calude Debussy are from Modernist period (20th century)

where start_row skips the header row.

Get a dictionary

You can get a dictionary too:

.. code-block:: python

my_dict = p.get_dict(file_name="your_file.xls", name_columns_by_row=0)

And let's have a look inside:

.. code-block:: python

from pyexcel._compact import OrderedDict isinstance(my_dict, OrderedDict) True for key, values in my_dict.items(): ... print(key + " : " + ','.join([str(item) for item in values])) Name : Medieval,Renaissance,Baroque,Classical,Early Romantic,Late Romantic,Modernist Period : c.1150-c.1400,c.1400-c.1600,c.1600-c.1750,c.1750-c.1830,c.1830-c.1860,c.1860-c.1920,20th century Representative Composers : Machaut, Landini,Gibbons, Frescobaldi,JS Bach, Vivaldi,Joseph Haydn, Wolfgan Amadeus Mozart,Chopin, Mendelssohn, Schumann, Liszt,Wagner,Verdi,Sergei Rachmaninoff,Calude Debussy

Please note that my_dict is an OrderedDict.

Get a dictionary of two dimensional array

Suppose you have a multiple sheet book as the following:

Top Violinist:

================= ========= ================ Name Period Nationality Antonio Vivaldi 1678-1741 Italian Niccolo Paganini 1782-1840 Italian Pablo de Sarasate 1852-1904 Spainish Eugene Ysaye 1858-1931 Belgian Fritz Kreisler 1875-1962 Astria-American Jascha Heifetz 1901-1987 Russian-American David Oistrakh 1908-1974 Russian Yehundi Menuhin 1916-1999 American Itzhak Perlman 1945- Israeli-American Hilary Hahn 1979- American ================= ========= ================

Noteable Violin Makers:

====================== ========= ================ Maker Period Country Antonio Stradivari 1644-1737 Cremona, Italy Giovanni Paolo Maggini 1580-1630 Botticino, Italy Amati Family 1500-1740 Cremona, Italy Guarneri Family 1626-1744 Cremona, Italy Rugeri Family 1628-1719 Cremona, Italy Carlo Bergonzi 1683-1747 Cremona, Italy Jacob Stainer 1617-1683 Austria ====================== ========= ================

Most Expensive Violins:

===================== =============== =================================== Name Estimated Value Location Messiah Stradivarious $ 20,000,000 Ashmolean Museum in Oxford, England Vieuxtemps Guarneri $ 16,000,000 On loan to Anne Akiko Meyers Lady Blunt $ 15,900,000 Anonymous bidder ===================== =============== ===================================

Here is the code to obtain those sheets as a single dictionary:

.. code-block:: python

book_dict = p.get_book_dict(file_name="book.xls")

And check:

.. code-block:: python

isinstance(book_dict, OrderedDict) True import json for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Most Expensive Violins": [["Name", "Estimated Value", "Location"], ["Messiah Stradivarious", "$ 20,000,000", "Ashmolean Museum in Oxford, England"], ["Vieuxtemps Guarneri", "$ 16,000,000", "On loan to Anne Akiko Meyers"], ["Lady Blunt", "$ 15,900,000", "Anonymous bidder"]]} {"Noteable Violin Makers": [["Maker", "Period", "Country"], ["Antonio Stradivari", "1644-1737", "Cremona, Italy"], ["Giovanni Paolo Maggini", "1580-1630", "Botticino, Italy"], ["Amati Family", "1500-1740", "Cremona, Italy"], ["Guarneri Family", "1626-1744", "Cremona, Italy"], ["Rugeri Family", "1628-1719", "Cremona, Italy"], ["Carlo Bergonzi", "1683-1747", "Cremona, Italy"], ["Jacob Stainer", "1617-1683", "Austria"]]} {"Top Violinist": [["Name", "Period", "Nationality"], ["Antonio Vivaldi", "1678-1741", "Italian"], ["Niccolo Paganini", "1782-1840", "Italian"], ["Pablo de Sarasate", "1852-1904", "Spainish"], ["Eugene Ysaye", "1858-1931", "Belgian"], ["Fritz Kreisler", "1875-1962", "Astria-American"], ["Jascha Heifetz", "1901-1987", "Russian-American"], ["David Oistrakh", "1908-1974", "Russian"], ["Yehundi Menuhin", "1916-1999", "American"], ["Itzhak Perlman", "1945-", "Israeli-American"], ["Hilary Hahn", "1979-", "American"]]}

Write data

Export an array

Suppose you have the following array:

.. code-block:: python

data = [['G', 'D', 'A', 'E'], ['Thomastik-Infield Domaints', 'Thomastik-Infield Domaints', 'Thomastik-Infield Domaints', 'Pirastro'], ['Silver wound', '', 'Aluminum wound', 'Gold Label Steel']]

And here is the code to save it as an excel file :

.. code-block:: python

p.save_as(array=data, dest_file_name="example.xls")

Let's verify it:

.. code-block:: python

>>> p.get_sheet(file_name="example.xls")
pyexcel_sheet1:
+----------------------------+----------------------------+----------------------------+------------------+
| G                          | D                          | A                          | E                |
+----------------------------+----------------------------+----------------------------+------------------+
| Thomastik-Infield Domaints | Thomastik-Infield Domaints | Thomastik-Infield Domaints | Pirastro         |
+----------------------------+----------------------------+----------------------------+------------------+
| Silver wound               |                            | Aluminum wound             | Gold Label Steel |
+----------------------------+----------------------------+----------------------------+------------------+

And here is the code to save it as a csv file :

.. code-block:: python

p.save_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':')

Let's verify it:

.. code-block:: python

>>> with open("example.csv") as f:
...     for line in f.readlines():
...         print(line.rstrip())
...
G:D:A:E
Thomastik-Infield Domaints:Thomastik-Infield Domaints:Thomastik-Infield Domaints:Pirastro
Silver wound::Aluminum wound:Gold Label Steel

Export a list of dictionaries

.. code-block:: python

>>> records = [
...     {"year": 1903, "country": "Germany", "speed": "206.7km/h"},
...     {"year": 1964, "country": "Japan", "speed": "210km/h"},
...     {"year": 2008, "country": "China", "speed": "350km/h"}
... ]
>>> p.save_as(records=records, dest_file_name='high_speed_rail.xls')

Export a dictionary of single key value pair

.. code-block:: python

>>> henley_on_thames_facts = {
...     "area": "5.58 square meters",
...     "population": "11,619",
...     "civial parish": "Henley-on-Thames",
...     "latitude": "51.536",
...     "longitude": "-0.898"
... }
>>> p.save_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx')

Export a dictionary of single dimensonal array

.. code-block:: python

>>> ccs_insights = {
...     "year": ["2017", "2018", "2019", "2020", "2021"],
...     "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90],
...     "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17]
... }
>>> p.save_as(adict=ccs_insights, dest_file_name='ccs.csv')

Export a dictionary of two dimensional array as a book

Suppose you want to save the below dictionary to an excel file :

.. code-block:: python

a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... }

Here is the code:

.. code-block:: python

p.save_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... )

If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example:

.. code-block:: python

data = OrderedDict() data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) p.save_book_as(bookdict=data, dest_file_name="book.xls")

Let's verify its order:

.. code-block:: python

book_dict = p.get_book_dict(file_name="book.xls") for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]}

Please notice that "Sheet 2" is the first item in the book_dict, meaning the order of sheets are preserved.

Transcoding

.. note::

Please note that pyexcel-cli can perform file transcoding at command line. No need to open your editor, save the problem, then python run.

The following code does a simple file format transcoding from xls to csv:

.. code-block:: python

p.save_as(file_name="birth.xls", dest_file_name="birth.csv")

Again it is really simple. Let's verify what we have gotten:

.. code-block:: python

sheet = p.get_sheet(file_name="birth.csv") sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+

.. NOTE::

Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job.

Let use previous example and save it as xlsx instead

.. code-block:: python

p.save_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension

Again let's verify what we have gotten:

.. code-block:: python

sheet = p.get_sheet(file_name="birth.xlsx") sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+

Excel book merge and split operation in one line

Merge all excel files in directory into a book where each file become a sheet

The following code will merge every excel files into one file, say "output.xls":

.. code-block:: python

from pyexcel.cookbook import merge_all_to_a_book
import glob


merge_all_to_a_book(glob.glob("your_csv_directory\*.csv"), "output.xls")

You can mix and match with other excel formats: xls, xlsm and ods. For example, if you are sure you have only xls, xlsm, xlsx, ods and csv files in your_excel_file_directory, you can do the following:

.. code-block:: python

from pyexcel.cookbook import merge_all_to_a_book
import glob


merge_all_to_a_book(glob.glob("your_excel_file_directory\*.*"), "output.xls")

Split a book into single sheet files

Suppose you have many sheets in a work book and you would like to separate each into a single sheet excel file. You can easily do this:

.. code-block:: python

from pyexcel.cookbook import split_a_book split_a_book("megabook.xls", "output.xls") import glob outputfiles = glob.glob("*_output.xls") for file in sorted(outputfiles): ... print(file) ... Sheet 1_output.xls Sheet 2_output.xls Sheet 3_output.xls

for the output file, you can specify any of the supported formats

Extract just one sheet from a book

Suppose you just want to extract one sheet from many sheets that exists in a work book and you would like to separate it into a single sheet excel file. You can easily do this:

.. code-block:: python

>>> from pyexcel.cookbook import extract_a_sheet_from_a_book
>>> extract_a_sheet_from_a_book("megabook.xls", "Sheet 1", "output.xls")
>>> if os.path.exists("Sheet 1_output.xls"):
...     print("Sheet 1_output.xls exists")
...
Sheet 1_output.xls exists

for the output file, you can specify any of the supported formats

Hidden feature: partial read

Most pyexcel users do not know, but other library users were requesting partial read <https://github.com/jazzband/tablib/issues/467>_

When you are dealing with huge amount of data, e.g. 64GB, obviously you would not like to fill up your memory with those data. What you may want to do is, record data from Nth line, take M records and stop. And you only want to use your memory for the M records, not for beginning part nor for the tail part.

Hence partial read feature is developed to read partial data into memory for processing.

You can paginate by row, by column and by both, hence you dictate what portion of the data to read back. But remember only row limit features help you save memory. Let's you use this feature to record data from Nth column, take M number of columns and skip the rest. You are not going to reduce your memory footprint.

Why did not I see above benefit?

This feature depends heavily on the implementation details.

pyexcel-xls_ (xlrd), pyexcel-xlsx_ (openpyxl), pyexcel-ods_ (odfpy) and pyexcel-ods3_ (pyexcel-ezodf) will read all data into memory. Because xls, xlsx and ods file are effective a zipped folder, all four will unzip the folder and read the content in xml format in full, so as to make sense of all details.

Hence, during the partial data is been returned, the memory consumption won't differ from reading the whole data back. Only after the partial data is returned, the memory comsumption curve shall jump the cliff. So pagination code here only limits the data returned to your program.

With that said, pyexcel-xlsxr, pyexcel-odsr and pyexcel-htmlr_ DOES read partial data into memory. Those three are implemented in such a way that they consume the xml(html) when needed. When they have read designated portion of the data, they stop, even if they are half way through.

In addition, pyexcel's csv readers can read partial data into memory too.

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

.. code-block:: python

import datetime import pyexcel as pe data = [ ... [1, 21, 31], ... [2, 22, 32], ... [3, 23, 33], ... [4, 24, 34], ... [5, 25, 35], ... [6, 26, 36] ... ] pe.save_as(array=data, dest_file_name="your_file.csv")

And let's pretend to read partial data:

.. code-block:: python

pe.get_sheet(file_name="your_file.csv", start_row=2, row_limit=3) your_file.csv: +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+

And you could as well do the same for columns:

.. code-block:: python

pe.get_sheet(file_name="your_file.csv", start_column=1, column_limit=2) your_file.csv: +----+----+ | 21 | 31 | +----+----+ | 22 | 32 | +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ | 26 | 36 | +----+----+

Obvious, you could do both at the same time:

.. code-block:: python

pe.get_sheet(file_name="your_file.csv", ... start_row=2, row_limit=3, ... start_column=1, column_limit=2) your_file.csv: +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+

The pagination support is available across all pyexcel plugins.

.. note::

No column pagination support for query sets as data source.

Formatting while transcoding a big data file

If you are transcoding a big data set, conventional formatting method would not help unless a on-demand free RAM is available. However, there is a way to minimize the memory footprint of pyexcel while the formatting is performed.

Let's continue from previous example. Suppose we want to transcode "your_file.csv" to "your_file.xls" but increase each element by 1.

What we can do is to define a row renderer function as the following:

.. code-block:: python

def increment_by_one(row): ... for element in row: ... yield element + 1

Then pass it onto save_as function using row_renderer:

.. code-block:: python

pe.isave_as(file_name="your_file.csv", ... row_renderer=increment_by_one, ... dest_file_name="your_file.xlsx")

.. note::

If the data content is from a generator, isave_as has to be used.

We can verify if it was done correctly:

.. code-block:: python

pe.get_sheet(file_name="your_file.xlsx") your_file.csv: +---+----+----+ | 2 | 22 | 32 | +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ | 6 | 26 | 36 | +---+----+----+ | 7 | 27 | 37 | +---+----+----+

Stream APIs for big file : A set of two liners

When you are dealing with BIG excel files, you will want pyexcel to use constant memory.

This section shows you how to get data from your BIG excel files and how to export data to excel files in two lines at most, without eating all your computer memory.

Two liners for get data from big excel files

Get a list of dictionaries

Suppose you want to process the following coffee data again:

Top 5 coffeine drinks:

===================================== =============== ============= Coffees Serving Size Caffeine (mg) Starbucks Coffee Blonde Roast venti(20 oz) 475 Dunkin' Donuts Coffee with Turbo Shot large(20 oz.) 398 Starbucks Coffee Pike Place Roast grande(16 oz.) 310 Panera Coffee Light Roast regular(16 oz.) 300 ===================================== =============== =============

Let's get a list of dictionary out from the xls file:

.. code-block:: python

records = p.iget_records(file_name="your_file.xls")

And let's check what do we have:

.. code-block:: python

for r in records: ... print(f"{r['Serving Size']} of {r['Coffees']} has {r['Caffeine (mg)']} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg

Please do not forgot the second line to close the opened file handle:

.. code-block:: python

p.free_resources()

Get two dimensional array

Instead, what if you have to use pyexcel.get_array to do the same:

.. code-block:: python

for row in p.iget_array(file_name="your_file.xls", start_row=1): ... print(f"{row[1]} of {row[0]} has {row[2]} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg

Again, do not forgot the second line:

.. code-block:: python

p.free_resources()

where start_row skips the header row.

Data export in one liners

Export an array

Suppose you have the following array:

.. code-block:: python

data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

And here is the code to save it as an excel file :

.. code-block:: python

p.isave_as(array=data, dest_file_name="example.xls")

But the following line is not required because the data source are not file sources:

.. code-block:: python

p.free_resources()

Let's verify it:

.. code-block:: python

>>> p.get_sheet(file_name="example.xls")
pyexcel_sheet1:
+---+---+---+
| 1 | 2 | 3 |
+---+---+---+
| 4 | 5 | 6 |
+---+---+---+
| 7 | 8 | 9 |
+---+---+---+

And here is the code to save it as a csv file :

.. code-block:: python

p.isave_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':')

Let's verify it:

.. code-block:: python

with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9

Export a list of dictionaries

.. code-block:: python

>>> records = [
...     {"year": 1903, "country": "Germany", "speed": "206.7km/h"},
...     {"year": 1964, "country": "Japan", "speed": "210km/h"},
...     {"year": 2008, "country": "China", "speed": "350km/h"}
... ]
>>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls')

Export a dictionary of single key value pair

.. code-block:: python

>>> henley_on_thames_facts = {
...     "area": "5.58 square meters",
...     "population": "11,619",
...     "civial parish": "Henley-on-Thames",
...     "latitude": "51.536",
...     "longitude": "-0.898"
... }
>>> p.isave_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx')

Export a dictionary of single dimensonal array

.. code-block:: python

>>> ccs_insights = {
...     "year": ["2017", "2018", "2019", "2020", "2021"],
...     "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90],
...     "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17]
... }
>>> p.isave_as(adict=ccs_insights, dest_file_name='ccs.csv')
>>> p.free_resources()

Export a dictionary of two dimensional array as a book

Suppose you want to save the below dictionary to an excel file :

.. code-block:: python

a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... }

Here is the code:

.. code-block:: python

p.isave_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... )

If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example:

.. code-block:: python

from pyexcel._compact import OrderedDict data = OrderedDict() data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) p.isave_book_as(bookdict=data, dest_file_name="book.xls") p.free_resources()

Let's verify its order:

.. code-block:: python

import json book_dict = p.get_book_dict(file_name="book.xls") for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]}

Please notice that "Sheet 2" is the first item in the book_dict, meaning the order of sheets are preserved.

File format transcoding on one line

.. note::

Please note that the following file transcoding could be with zero line. Please install pyexcel-cli and you will do the transcode in one command. No need to open your editor, save the problem, then python run.

The following code does a simple file format transcoding from xls to csv:

.. code-block:: python

import pyexcel p.save_as(file_name="birth.xls", dest_file_name="birth.csv")

Again it is really simple. Let's verify what we have gotten:

.. code-block:: python

sheet = p.get_sheet(file_name="birth.csv") sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+

.. note::

Let use previous example and save it as xlsx instead

.. code-block:: python

import pyexcel p.isave_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension

Again let's verify what we have gotten:

.. code-block:: python

sheet = p.get_sheet(file_name="birth.xlsx") sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+

Available Plugins

.. _file-format-list: .. _a-map-of-plugins-and-file-formats:

.. table:: A list of file formats supported by external plugins

======================== ======================= ================= Package name Supported file formats Dependencies ======================== ======================= ================= pyexcel-io_ csv, csvz [#f1], tsv, csvz,tsvz readers depends on chardet tsvz [#f2] pyexcel-xls_ xls, xlsx(read only), xlrd, xlsm(read only) xlwt pyexcel-xlsx_ xlsx openpyxl_ pyexcel-ods3_ ods pyexcel-ezodf, lxml pyexcel-ods ods odfpy_ ======================== ======================= =================

.. table:: Dedicated file reader and writers

======================== ======================= ================= Package name Supported file formats Dependencies ======================== ======================= ================= pyexcel-xlsxw_ xlsx(write only) XlsxWriter_ pyexcel-libxlsxw_ xlsx(write only) libxlsxwriter_ pyexcel-xlsxr_ xlsx(read only) lxml pyexcel-xlsbr_ xlsb(read only) pyxlsb pyexcel-odsr_ read only for ods, fods lxml pyexcel-odsw_ write only for ods loxun pyexcel-htmlr_ html(read only) lxml,html5lib pyexcel-pdfr_ pdf(read only) camelot ======================== ======================= =================

Plugin shopping guide

Since 2020, all pyexcel-io plugins have dropped the support for python versions which are lower than 3.6. If you want to use any of those Python versions, please use pyexcel-io and its plugins versions that are lower than 0.6.0.

Except csv files, xls, xlsx and ods files are a zip of a folder containing a lot of xml files

The dedicated readers for excel files can stream read

In order to manage the list of plugins installed, you need to use pip to add or remove a plugin. When you use virtualenv, you can have different plugins per virtual environment. In the situation where you have multiple plugins that does the same thing in your environment, you need to tell pyexcel which plugin to use per function call. For example, pyexcel-ods and pyexcel-odsr, and you want to get_array to use pyexcel-odsr. You need to append get_array(..., library='pyexcel-odsr').

.. _pyexcel-io: https://github.com/pyexcel/pyexcel-io .. _pyexcel-xls: https://github.com/pyexcel/pyexcel-xls .. _pyexcel-xlsx: https://github.com/pyexcel/pyexcel-xlsx .. _pyexcel-ods: https://github.com/pyexcel/pyexcel-ods .. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3 .. _pyexcel-odsr: https://github.com/pyexcel/pyexcel-odsr .. _pyexcel-odsw: https://github.com/pyexcel/pyexcel-odsw .. _pyexcel-pdfr: https://github.com/pyexcel/pyexcel-pdfr

.. _pyexcel-xlsxw: https://github.com/pyexcel/pyexcel-xlsxw .. _pyexcel-libxlsxw: https://github.com/pyexcel/pyexcel-libxlsxw .. _pyexcel-xlsxr: https://github.com/pyexcel/pyexcel-xlsxr .. _pyexcel-xlsbr: https://github.com/pyexcel/pyexcel-xlsbr .. _pyexcel-htmlr: https://github.com/pyexcel/pyexcel-htmlr

.. _xlrd: https://github.com/python-excel/xlrd .. _xlwt: https://github.com/python-excel/xlwt .. _openpyxl: https://bitbucket.org/openpyxl/openpyxl .. _XlsxWriter: https://github.com/jmcnamara/XlsxWriter .. _pyexcel-ezodf: https://github.com/pyexcel/pyexcel-ezodf .. _odfpy: https://github.com/eea/odfpy .. _libxlsxwriter: http://libxlsxwriter.github.io/getting_started.html

.. table:: Other data renderers

======================== ======================= ================= ================== Package name Supported file formats Dependencies Python versions ======================== ======================= ================= ================== pyexcel-text_ write only:rst, tabulate_ 2.6, 2.7, 3.3, 3.4 mediawiki, html, 3.5, 3.6, pypy latex, grid, pipe, orgtbl, plain simple read only: ndjson r/w: json pyexcel-handsontable_ handsontable in html handsontable_ same as above pyexcel-pygal_ svg chart pygal_ 2.7, 3.3, 3.4, 3.5 3.6, pypy pyexcel-sortable_ sortable table in html csvtotable_ same as above pyexcel-gantt_ gantt chart in html frappe-gantt_ except pypy, same as above ======================== ======================= ================= ==================

.. _pyexcel-text: https://github.com/pyexcel/pyexcel-text .. _tabulate: https://bitbucket.org/astanin/python-tabulate .. _pyexcel-handsontable: https://github.com/pyexcel/pyexcel-handsontable .. _handsontable: https://cdnjs.com/libraries/handsontable .. _pyexcel-pygal: https://github.com/pyexcel/pyexcel-chart .. _pygal: https://github.com/Kozea/pygal .. _pyexcel-matplotlib: https://github.com/pyexcel/pyexcel-matplotlib .. _matplotlib: https://matplotlib.org .. _pyexcel-sortable: https://github.com/pyexcel/pyexcel-sortable .. _csvtotable: https://github.com/vividvilla/csvtotable .. _pyexcel-gantt: https://github.com/pyexcel/pyexcel-gantt .. _frappe-gantt: https://github.com/frappe/gantt

.. rubric:: Footnotes

.. [#f1] zipped csv file .. [#f2] zipped tsv file

Acknowledgement

All great work have been done by odf, ezodf, xlrd, xlwt, tabulate and other individual developers. This library unites only the data access code.

License

New BSD License

21 contributors

In alphabetical order:

Akshaya Kumar Sharma <https://github.com/akshayakrsh>_
Andre Almar <https://github.com/andrealmar>_
Arunkumar Rajendran <https://github.com/arunkumar-ra>_
Ayan Banerjee <https://github.com/ayan-b>_
Chris Hill-Scott <https://github.com/quis>_
Craig Anderson <https://github.com/craiga>_
D. Yu <https://github.com/darylyu>_
J Harley <https://github.com/julzhk>_
Joel Nothman <https://github.com/jnothman>_
John Vandenberg <https://github.com/jayvdb>_
Linghui Zeng <https://github.com/mathsyouth>_
Mark Mayo <https://github.com/marksmayo>_
Mateusz Konieczny <https://github.com/matkoniecz>_
nikolas <https://github.com/nikolas>_
Rintze M. Zelle, PhD <https://github.com/rmzelle>_
Simeon Visser <https://github.com/svisser>_
Simon Allen <https://github.com/garfunkel>_
simon klemenc <https://github.com/hiaselhans>_
Tim Gates <https://github.com/timgates42>_
Wesley A. Cheng <https://github.com/wesleyacheng>_
William Jamir Silva <https://github.com/williamjamir>_

Change log

0.7.3 - 12.04.2025

Fixed

#. #263 <https://github.com/pyexcel/pyexcel/issues/263>: support pathlib from python 3.4 #. #267 <https://github.com/pyexcel/pyexcel/issues/267>: better error message for file_name

0.7.2 - 23.03.2025

Fixed

#. #270 <https://github.com/pyexcel/pyexcel/issues/270>: apenddoc breaks interpreter optimization #. #274 <https://github.com/pyexcel/pyexcel/issues/274>: Replace deprecated imp module with importlib - enforced pyexcel's dependency on lml>=0.2.0. This will have an implication for linux distribution makers for pyexcel. However, this is a reaction to the potential removal of import syntax.

0.7.1 - 11.09.2024

Fixed

#. #272 <https://github.com/pyexcel/pyexcel/issues/272>_: remove chardet as a requirement

Updated

#. various typos and linted the code

0.7.0 - 12.2.2022

Fixed

#. #250 <https://github.com/pyexcel/pyexcel/issues/250>_: RecursionError raised on deepcopy of a sheet

Updated

#. #255 <https://github.com/pyexcel/pyexcel/issues/255>_: pyexcel.get_array documentation page seems to be a copy of pyexcel.get_sheet

Removed

#. #249 <https://github.com/pyexcel/pyexcel/issues/249>_: drop the support for dummy import statements pyexcel.ext.*

0.6.7 - 12.09.2021

Updated

#. #243 <https://github.com/pyexcel/pyexcel/issues/243>_: fix small typo. #. add chardet as explicit dependency

0.6.6 - 14.11.2020

Updated

#. #233 <https://github.com/pyexcel/pyexcel/issues/233>_: dynamically resize the table matrix on set_value. sheet['AA1'] = 'test' will work in this release.

0.6.5 - 8.10.2020

Updated

#. update queryset source to work with pyexcel-io 0.6.0

0.6.4 - 18.08.2020

Updated

#. #219 <https://github.com/pyexcel/pyexcel/issues/219>_: book created from dict no longer discards order.

0.6.3 - 01.08.2020

fixed

#. #214 <https://github.com/pyexcel/pyexcel/issues/214>_: remove leading and trailing whitespace for column names

removed

#. python 2 compatibility have been permanently removed.

0.6.2 - 8.06.2020

fixed

#. #109 <https://github.com/pyexcel/pyexcel/issues/109>_: Control the column order when write the data output

0.6.1 - 02.05.2020

fixed

#. #203 <https://github.com/pyexcel/pyexcel/issues/203>_: texttable was dropped out in 0.6.0 as compulsary dependency. end user may experience it when a sheet/table is printed in a shell. otherwise, new user of pyexcel won't see it. As of release date, no issues were created

0.6.0 - 21.04.2020

updated

#. #199 <https://github.com/pyexcel/pyexcel/issues/199>: += in place; = + shall return new instance #. #195 <https://github.com/pyexcel/pyexcel/issues/195>: documentation update. however small is welcome

removed

#. Dropping the test support for python version lower than 3.6. v0.6.0 should work with python 2.7 but is not guaranteed to work. Please upgrade to python 3.6+.

0.5.15 - 07.07.2019

updated

#. #185 <https://github.com/pyexcel/pyexcel/issues/185>_: fix a bug with http data source. The real fix lies in pyexcel-io v0.5.19. this release just put the version requirement in.

0.5.14 - 12.06.2019

updated

#. #182 <https://github.com/pyexcel/pyexcel/issues/182>_: support dest_force_file_type on save_as and save_book_as

0.5.13 - 12.03.2019

updated

#. #176 <https://github.com/pyexcel/pyexcel/issues/176>_: get_sheet {IndexError}list index out of range // XLSX can't be opened

0.5.12 - 25.02.2019

updated

#. #174 <https://github.com/pyexcel/pyexcel/issues/174>_: include examples in tarbar

0.5.11 - 22.02.2019

updated

#. #169 <https://github.com/pyexcel/pyexcel/issues/169>_: remove pyexcel-handsontalbe in test #. add tests, and docs folder in distribution

0.5.10 - 3.12.2018

updated

#. #157 <https://github.com/pyexcel/pyexcel/issues/157>_: Please use scan_plugins_regex, which lml 0.7 complains about #. updated dependency on pyexcel-io to 0.5.11

0.5.9.1 - 30.08.2018

updated

#. to require pyexcel-io 0.5.9.1 and use lml at least version 0.0.2

0.5.9 - 30.08.2018

added

#. support len. len(book) returns the number of sheets and len(sheet) returns the number of rows #. #144 <https://github.com/pyexcel/pyexcel/issues/144>: memory-efficient way to read sheet names. #. #148 <https://github.com/pyexcel/pyexcel/issues/148>: force_file_type is introduced. When reading a file on a disk, this parameter allows you to choose a reader. i.e. csv reader for a text file. xlsx reader for a xlsx file but with .blob file suffix. #. finally, pyexcel got import pyexcel.version

updated

#. Sheet.to_records() returns a generator now, saving memory #. #115 <https://github.com/pyexcel/pyexcel/issues/115>, Fix set membership test to run faster in python2 #. #140 <https://github.com/pyexcel/pyexcel/issues/140>, Direct writes to cells yield weird results

0.5.8 - 26.03.2018

added

#. #125 <https://github.com/pyexcel/pyexcel/issues/125>_, sort book sheets

updated

#. #126 <https://github.com/pyexcel/pyexcel/issues/126>, dest_sheet_name in save_as will set the sheet name in the output #. #115 <https://github.com/pyexcel/pyexcel/issues/115>, Fix set membership test to run faster in python2

0.5.7 - 11.01.2018

added

#. pyexcel-io#46 <https://github.com/pyexcel/pyexcel-io/issues/46>_, expose bulk_save to developer.

0.5.6 - 23.10.2017

removed

#. #105 <https://github.com/pyexcel/pyexcel/issues/105>, remove gease from setup_requires, introduced by 0.5.5. #. removed testing against python 2.6 #. #103 <https://github.com/pyexcel/pyexcel/issues/103>, include LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released tar ball.

0.5.5 - 20.10.2017

removed

0.5.4 - 27.09.2017

fixed

#. #100 <https://github.com/pyexcel/pyexcel/issues/100>_, Sheet.to_dict() gets out of range error because there is only one row.

updated

#. Updated the baseline of pyexcel-io to 0.5.1.

0.5.3 - 01-08-2017

added

#. #95 <https://github.com/pyexcel/pyexcel/issues/95>, respect the order of records in iget_records, isave_as and save_as. #. #97 <https://github.com/pyexcel/pyexcel/issues/97>, new feature to allow intuitive initialization of pyexcel.Book.

0.5.2 - 26-07-2017

Updated

#. embeded the enabler for pyexcel-htmlr. http source does not support text/html as mime type.

0.5.1 - 12.06.2017

Updated

#. support saving SheetStream and BookStream to database targets. This is needed for pyexcel-webio and its downstream projects.

0.5.0 - 19.06.2017

Added

#. Sheet.top() and Sheet.top_left() for data browsing #. add html as default rich display in Jupyter notebook when pyexcel-text and pyexcel-chart is installed #. add svg as default rich display in Jupyter notebook when pyexcel-chart and one of its implementation plugin(pyexcel-pygal, etc.) are is installed #. new dictionary source supported: a dictionary of key value pair could be read into a sheet. #. added dynamic external plugin loading. meaning if a pyexcel plugin is installed, it will be loaded implicitly. And this change would remove unnecessary info log for those who do not use pyexcel-text and pyexcel-gal #. save_book_as before 0.5.0 becomes isave_book_as and save_book_as in 0.5.0 convert BookStream to Book before saving. #. #83 <https://github.com/pyexcel/pyexcel/issues/83>_, file closing mechanism is enfored. free_resource is added and it should be called when iget_array, iget_records, isave_as and/or isave_book_as are used.

Updated

#. array is passed to pyexcel.Sheet as reference. it means your array data will be modified.

Removed

#. pyexcel.Writer and pyexcel.BookWriter were removed #. pyexcel.load_book_from_sql and pyexcel.load_from_sql were removed #. pyexcel.deprecated.load_from_query_sets, pyexcel.deprecated.load_book_from_django_models and pyexcel.deprecated.load_from_django_model were removed #. Removed plugin loading code and lml is used instead

0.4.5 - 17.03.2017

Updated

#. #80 <https://github.com/pyexcel/pyexcel/issues/80>_: remove pyexcel-chart import from v0.4.x

0.4.4 - 06.02.2017

Updated

#. #68 <https://github.com/pyexcel/pyexcel/issues/68>: regression save_to_memory() should have returned a stream instance which has been reset to zero if possible. The exception is sys.stdout, which cannot be reset. #. #74 <https://github.com/pyexcel/pyexcel/issues/74>: Not able to handle decimal.Decimal

Removed

#. remove get_{{file_type}}_stream functions from pyexcel.Sheet and pyexcel.Book introduced since 0.4.3.

0.4.3 - 26.01.2017

Added

#. '.stream' attribute are attached to ~pyexcel.Sheet and ~pyexcel.Book to get direct access the underneath stream in responding to file type attributes, such as sheet.xls. it helps provide a custom stream to external world, for example, Sheet.stream.csv gives a text stream that contains csv formatted data. Book.stream.xls returns a xls format data in a byte stream.

Updated

#. Better error reporting when an unknown parameters or unsupported file types were given to the signature functions.

0.4.2 - 17.01.2017

Updated

#. Raise exception if the incoming sheet does not have column names. In other words, only sheet with column names could be saved to database. sheet with row names cannot be saved. The alternative is to transpose the sheet, then name_columns_by_row and then save. #. fix iget_records where a non-uniform content should be given, e.g. [["x", "y"], [1, 2], [3]], some record would become non-uniform, e.g. key 'y' would be missing from the second record. #. skip_empty_rows is applicable when saving a python data structure to another data source. For example, if your array contains a row which is consisted of empty string, such as ['', '', '' ... ''], please specify skip_empty_rows=False in order to preserve it. This becomes subtle when you try save a python dictionary where empty rows is not easy to be spotted. #. #69 <https://github.com/pyexcel/pyexcel/issues/69>_: better documentation for save_book_as.

0.4.1 - 23.12.2016

Updated

#. #68 <https://github.com/pyexcel/pyexcel/issues/68>_: regression save_to_memory() should have returned a stream instance.

0.4.0 - 22.12.2016

Added

#. Flask-Excel#19 <https://github.com/pyexcel/Flask-Excel/issues/19>_ allow sheet_name parameter #. pyexcel-xls#11 <https://github.com/pyexcel/pyexcel-xls/issues/11>_ case-insensitive for file_type. xls and XLS are treated in the same way

Updated

#. #66 <https://github.com/pyexcel/pyexcel/issues/66>_: export_columns is ignored #. Update dependency on pyexcel-io v0.3.0

0.3.3 - 07.11.2016

Updated

#. #63 <https://github.com/pyexcel/pyexcel/issues/63>_: cannot display empty sheet(hence book with empty sheet) as texttable

0.3.2 - 02.11.2016

Updated

#. #62 <https://github.com/pyexcel/pyexcel/issues/62>_: optional module import error become visible.

0.3.0 - 28.10.2016

Added:

#. file type setters for Sheet and Book, and its documentation #. iget_records returns a generator for a list of records and should have better memory performance, especially dealing with large csv files. #. iget_array returns a generator for a list of two dimensional array and should have better memory performance, especially dealing with large csv files. #. Enable pagination support, and custom row renderer via pyexcel-io v0.2.3

Updated

#. Take isave_as out from save_as. Hence two functions are there for save a sheet as #. #60 <https://github.com/pyexcel/pyexcel/issues/60>: encode 'utf-8' if the console is of ascii encoding. #. #59 <https://github.com/pyexcel/pyexcel/issues/59>: custom row renderer #. #56 <https://github.com/pyexcel/pyexcel/issues/56>_: set cell value does not work #. pyexcel.transpose becomes pyexcel.sheets.transpose #. iterator functions of pyexcel.Sheet were converted to generator functions

pyexcel.Sheet.enumerate()
pyexcel.Sheet.reverse()
pyexcel.Sheet.vertical()
pyexcel.Sheet.rvertical()
pyexcel.Sheet.rows()
pyexcel.Sheet.rrows()
pyexcel.Sheet.columns()
pyexcel.Sheet.rcolumns()
pyexcel.Sheet.named_rows()
pyexcel.Sheet.named_columns()

#. ~pyexcel.Sheet.save_to_memory and ~pyexcel.Book.save_to_memory return the actual content. No longer they will return a io object hence you cannot call getvalue() on them.

Removed:

#. content and out_file as function parameters to the signature functions are no longer supported. #. SourceFactory and RendererFactory are removed #. The following methods are removed

pyexcel.to_array
pyexcel.to_dict
pyexcel.utils.to_one_dimensional_array
pyexcel.dict_to_array
pyexcel.from_records
pyexcel.to_records

#. pyexcel.Sheet.filter has been re-implemented and all filters were removed:

pyexcel.filters.ColumnIndexFilter
pyexcel.filters.ColumnFilter
pyexcel.filters.RowFilter
pyexcel.filters.EvenColumnFilter
pyexcel.filters.OddColumnFilter
pyexcel.filters.EvenRowFilter
pyexcel.filters.OddRowFilter
pyexcel.filters.RowIndexFilter
pyexcel.filters.SingleColumnFilter
pyexcel.filters.RowValueFilter
pyexcel.filters.NamedRowValueFilter
pyexcel.filters.ColumnValueFilter
pyexcel.filters.NamedColumnValueFilter
pyexcel.filters.SingleRowFilter

#. the following functions have been removed

add_formatter
remove_formatter
clear_formatters
freeze_formatters
add_filter
remove_filter
clear_filters
freeze_formatters

#. pyexcel.Sheet.filter has been re-implemented and all filters were removed:

pyexcel.formatters.SheetFormatter

0.2.5 - 31.08.2016

Updated:

#. #58 <https://github.com/pyexcel/pyexcel/issues/58>_: texttable should have been made as compulsory requirement

0.2.4 - 14.07.2016

Updated:

#. For python 2, writing to sys.stdout by pyexcel-cli raise IOError.

0.2.3 - 11.07.2016

Updated:

#. For python 3, do not seek 0 when saving to memory if sys.stdout is passed on. Hence, adding support for sys.stdin and sys.stdout.

0.2.2 - 01.06.2016

Updated:

#. Explicit imports, no longer needed #. Depends on latest setuptools 18.0.1 #. NotImplementedError will be raised if parameters to core functions are not supported, e.g. get_sheet(cannot_find_me_option="will be thrown out as NotImplementedError")

0.2.1 - 23.04.2016

Added:

#. add pyexcel-text file types as attributes of pyexcel.Sheet and pyexcel.Book, related to #31 <https://github.com/pyexcel/pyexcel/issues/31>__ #. auto import pyexcel-text if it is pip installed

Updated:

#. code refactoring done for easy addition of sources. #. bug fix #29 <https://github.com/pyexcel/pyexcel/issues/29>, Even if the format is a string it is displayed as a float #. pyexcel-text is no longer a plugin to pyexcel-io but to pyexcel.sources, see pyexcel-text#22 <https://github.com/pyexcel/pyexcel-text/issues/22>

Removed:

#. pyexcel.presentation is removed. No longer the internal decorate @outsource is used. related to #31 <https://github.com/pyexcel/pyexcel/issues/31>_

0.2.0 - 17.01.2016

Updated

#. adopt pyexcel-io yield key word to return generator as content #. pyexcel.save_as and pyexcel.save_book_as get performance improvements

0.1.7 - 03.07.2015

Added

#. Support pyramid-excel which does the database commit on its own.

0.1.6 - 13.06.2015

Added

#. get excel data from a http url

0.0.13 - 07.02.2015

Added

#. Support django #. texttable as default renderer

0.0.12 - 25.01.2015

Added

#. Added sqlalchemy support

0.0.10 - 15.12.2015

Added

#. added csvz and tsvz format

0.0.4 - 12.10.2014

Updated

#. Support python 3

0.0.1 - 14.09.2014

Features:

#. read and write csv, ods, xls, xlsx and xlsm files(which are referred later as excel files) #. various iterators for the reader #. row and column filters for the reader #. utilities to get array and dictionary out from excel files. #. cookbok receipes for some common and simple usage of this library.

Keywords

FAQs

What is pyexcel?

Is pyexcel well maintained?

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Install

pyexcel

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Support the project

Known constraints

Introduction

Feature Highlights

Installation

One liners

Read from the excel files

Write data

Transcoding

Excel book merge and split operation in one line

Hidden feature: partial read

Why did not I see above benefit?

Formatting while transcoding a big data file

Stream APIs for big file : A set of two liners

Two liners for get data from big excel files

Data export in one liners

p.free_resources()

File format transcoding on one line

Available Plugins

Plugin shopping guide

Acknowledgement

License

21 contributors

Change log

0.7.3 - 12.04.2025

0.7.2 - 23.03.2025

0.7.1 - 11.09.2024

0.7.0 - 12.2.2022

0.6.7 - 12.09.2021

0.6.6 - 14.11.2020

0.6.5 - 8.10.2020

0.6.4 - 18.08.2020

0.6.3 - 01.08.2020

0.6.2 - 8.06.2020

0.6.1 - 02.05.2020

0.6.0 - 21.04.2020

0.5.15 - 07.07.2019

0.5.14 - 12.06.2019

0.5.13 - 12.03.2019

0.5.12 - 25.02.2019

0.5.11 - 22.02.2019

0.5.10 - 3.12.2018

0.5.9.1 - 30.08.2018

0.5.9 - 30.08.2018

0.5.8 - 26.03.2018

0.5.7 - 11.01.2018

0.5.6 - 23.10.2017

0.5.5 - 20.10.2017

0.5.4 - 27.09.2017

0.5.3 - 01-08-2017

0.5.2 - 26-07-2017

0.5.1 - 12.06.2017

0.5.0 - 19.06.2017

0.4.5 - 17.03.2017

0.4.4 - 06.02.2017

0.4.3 - 26.01.2017

0.4.2 - 17.01.2017

0.4.1 - 23.12.2016

0.4.0 - 22.12.2016

0.3.3 - 07.11.2016

0.3.2 - 02.11.2016

0.3.0 - 28.10.2016

0.2.5 - 31.08.2016

0.2.4 - 14.07.2016

0.2.3 - 11.07.2016

0.2.2 - 01.06.2016

0.2.1 - 23.04.2016

0.2.0 - 17.01.2016

0.1.7 - 03.07.2015

0.1.6 - 13.06.2015

0.0.13 - 07.02.2015

0.0.12 - 25.01.2015

0.0.10 - 15.12.2015

0.0.4 - 12.10.2014

0.0.1 - 14.09.2014

Keywords

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