Hello, I use the following code to create a simple xlsx:

import pyexcelerate wb = pyexcelerate.Workbook() wb.new_sheet('sheet1', data=[['col11','col12','col13'],[1,2,3]]) wb.new_sheet('sheet2', data=[['col21','col22','col23'],['a','b','c']]) wb.save('bug.xlsx')

If I open the document and I change the data in the first sheet, the same cell is modified in the second sheet. This happens only if the change of the value is the first thing I do. If I change sheet before the change, Excel works properly.

I have this error:

Traceback (most recent call last): File "xlsError.py", line 13, in wbr = openpyxl.reader.excel.load_workbook(filename=filename,use_iterators=True) File "D:\Software\WinPython-64bit-2.7.6.4\python-2.7.6.amd64\lib\site-packages\openpyxl\reader\excel.py", line 155, in load_workbook raise InvalidFileException(unicode(e)) openpyxl.exceptions.InvalidFileException: "There is no item named 'xl/styles.xml' in the archive"

while running this simple code: import openpyxl

from pyexcelerate import Workbook

data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] # data is a 2D array filename = "output.xlsx" sheetname = "test"

wb = Workbook() wb.new_sheet(sheetname, data=data) wb.save(filename)

wbr = openpyxl.reader.excel.load_workbook(filename=filename,use_iterators=True) mySheet = wbr.get_sheet_by_name(sheetname)

The ws[row][col] changes in the run_pyexcelerate_optimization formatting benchmark slow it down significantly. Probably due to the fact that it is creating a Range object for each cell. Using the set_cell_value() method improves the performance.

The majority of the rest of the slowdown could probably be avoided by using similar methods for setting the cell styles. (I see that there are some methods available but I didn't try them).

Also, the run_xlsxwriter_optimization() benchmark is sub-optimal since it creates a format object each time through the inner loop. I've modified that benchmark to reflect how it would be done in practice by moving the format creation out of the loop.

On a fresh Ubuntu 12.04 LTS (64bits), I do :

$ sudo apt-get install ipython python-pip $ sudo pip install pyexcelerate Downloading/unpacking pyexcelerate Downloading PyExcelerate-0.4.0.tar.gz Running setup.py egg_info for package pyexcelerate Traceback (most recent call last): File "", line 14, in File "/home/vagrant/build/pyexcelerate/setup.py", line 4, in from pyexcelerate import version File "pyexcelerate/init.py", line 1, in from .Workbook import Workbook File "pyexcelerate/Workbook.py", line 2, in from .Writer import Writer File "pyexcelerate/Writer.py", line 7, in from jinja2 import Environment, FileSystemLoader ImportError: No module named jinja2 Complete output from command python setup.py egg_info: Traceback (most recent call last):

File "", line 14, in

File "/home/vagrant/build/pyexcelerate/setup.py", line 4, in

from pyexcelerate import __version__

File "pyexcelerate/init.py", line 1, in

from .Workbook import Workbook

File "pyexcelerate/Workbook.py", line 2, in

from .Writer import Writer

File "pyexcelerate/Writer.py", line 7, in

from jinja2 import Environment, FileSystemLoader

ImportError: No module named jinja2

Command python setup.py egg_info failed with error code 1 Storing complete log in /home/vagrant/.pip/pip.log

So I do : $ sudo pip install jinja2 $ sudo pip install pyexcelerate (went fine)

Then, try it : $ ipython

In [1]: from pyexcelerate import Workbook

TemplateNotFound Traceback (most recent call last) /home/vagrant/ in () ----> 1 from pyexcelerate import Workbook

/usr/local/lib/python2.7/dist-packages/pyexcelerate/init.py in () ----> 1 from .Workbook import Workbook 2 version = '0.4.0'

/usr/local/lib/python2.7/dist-packages/pyexcelerate/Workbook.py in () 1 from . import Worksheet ----> 2 from .Writer import Writer 3 import time 4 5 class Workbook(object):

/usr/local/lib/python2.7/dist-packages/pyexcelerate/Writer.py in () 8 from . import Color 9 ---> 10 class Writer(object): 11 if getattr(sys, 'frozen', None): 12 _basedir = getattr(sys, '_MEIPASS', sys.executable)

/usr/local/lib/python2.7/dist-packages/pyexcelerate/Writer.py in Writer() 16 env = Environment(loader=FileSystemLoader(TEMPLATE_PATH), auto_reload=False) 17 ---> 18 _docProps_app_template = env.get_template("docProps/app.xml") 19 _docProps_core_template = env.get_template("docProps/core.xml") 20 _content_types_template = env.get_template("[Content_Types].xml")

/usr/local/lib/python2.7/dist-packages/jinja2/environment.pyc in get_template(self, name, parent, globals) 789 if parent is not None: 790 name = self.join_path(name, parent) --> 791 return self._load_template(name, self.make_globals(globals)) 792 793 @internalcode

/usr/local/lib/python2.7/dist-packages/jinja2/environment.pyc in _load_template(self, name, globals) 763 template.is_up_to_date): 764 return template --> 765 template = self.loader.load(self, name, globals) 766 if self.cache is not None: 767 self.cache[name] = template

/usr/local/lib/python2.7/dist-packages/jinja2/loaders.pyc in load(self, environment, name, globals) 111 # first we try to get the source for this template together

112         # with the filename and the uptodate function.

--> 113 source, filename, uptodate = self.get_source(environment, name) 114 115 # try to load the code from the bytecode cache if there is a

/usr/local/lib/python2.7/dist-packages/jinja2/loaders.pyc in get_source(self, environment, template) 176 return False 177 return contents, filename, uptodate --> 178 raise TemplateNotFound(template) 179 180 def list_templates(self):

TemplateNotFound: docProps/app.xml

In [2]:

Thanx for your help !

This allows splitting the view, into both frozen and unfrozen panes. I haven't tested this extensively yet.

Any thoughts on the API?

Example usage:

# freeze the first row
worksheet.panes = Panes(y=1)

Python : 3.7 OS : Windows 10 64 bit

Below is my code:

 values = [data_df.columns] + list(data_df.values)
 wb = Workbook()
  wb.new_sheet('Sheet1', data=values)
  wb.save(module) ##throws error

The last line of the code throws error :

Exception has occurred: UnboundLocalError
local variable 'z' referenced before assignment

P.S : my dataframe has german characters.

Autosize for row and col not working.

If I set autosize for row, I get count is not available for NoneType object (cell)

If I set autosize for col, the column is hidden in the file

Is there hyperlink support present in PyExcelerate ? like in openpyxl : [https://openpyxl.readthedocs.io/en/latest/_modules/openpyxl/worksheet/hyperlink.html#Hyperlink] ?

def get_col_xml_string(self, col):
    if col in self._col_styles and not self._col_styles[col].is_default:
        style = self._col_styles[col]
        if style.size == -1:
            size = 0
            for x, row in self._cells.items():
                if col in row:
                    # size = max((len(str(row[col])) * 7 + 5) / 7, size)
                    size = max((len(str(row[col])) * 7 + 5) / 7, size)

I'm trying to use HYPERLINK formula as follows -

ws.set_cell_value(1, 1, '=HYPERLINK("www.someurl.com", "Click here")')

But when I look at the underlying cell(1, 1) in excel file, it complains that formula is invalid. Actually pyexcelerate prepends an additional = sign, so above formula is translated to -

==HYPERLINK("www.someurl.com", "Click here")

I also tried to use the formula without = sign as follows -

ws.set_cell_value(1, 1, 'HYPERLINK("www.someurl.com", "Click here")')

So in this is case excel client complains that that formula is invalid, it's because there is no = sign, so above formula is translated to -

HYPERLINK("www.someurl.com", "Click here")

valid formula must contain only one = sign in the cell, e.g.

=HYPERLINK("www.someurl.com", "Click here") #This is valid

Style hashes are incomplete, not accounting for quite a few style attributes. This prevents usage of many style cominations as they are thrown out during style alignment.

DEPRECATION: MarkupSafe is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 wil l enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559

Hi there, thanks for your great work! I got a large dataframe 30*10000 for example, and about 100 groups for each column to merge. Like

for i in range(30):
        column = n2a(i+1)
        for j in range(100000 // 100 - 1):
            worksheet.range(f"{column}{j*100 + 1}", f"{column}{(j+1)*100}").merge()

How can i speed up the merge function?

For large dataframes containing strings with 500k rows and 60+ columns, pyexcelerate generates invalid .xlsx files that cannot be opened in Excel. Excel gives the error message: "We found a problem with some content in yourfile.xlsx. Do you want us to try to recover as much as we can?". Answering yes removes all invalid content, which yields an empty worksheet.

from string import ascii_lowercase
from pandas import DataFrame
from pyexcelerate import Workbook
from uuid import uuid4

num_rows = 501000
num_cols = 64

# generate dataframe with column names
column_names = [ f"Col{idx}" for idx in range(0, num_cols)]
df = DataFrame(random.choice(list(ascii_lowercase), size=(num_rows, num_cols)), columns=column_names)

# write to file
output_filename = f"/tmp/{str(uuid4())}.xlsx"

wb = Workbook()
ws = wb.new_sheet("sheet name", data=df.values.tolist())
wb.save(output_filename)

The xlsx file is successfully written to disk, is 138Mb in size, but generates the above-mentionned error when being opened in Excel. Further inspection when opening the file in Python reveals that the Zip archive is invalid.

Interestingly, the problem only occurs for large dataframes filled with strings. The problem does not occur:

• For smaller dataframes
• For dataframes of the same size filled only with integers

Versions:

• OS: macOS Catalina 10.15.7; Darwin Kernel Version 19.6.0
• PyExcelerate==0.10.0
• pandas==1.3.5

the function __get_cell_data (https://github.com/kz26/PyExcelerate/blob/dev/pyexcelerate/Worksheet.py#L227) operates on each cell individually. when serializing a pandas.DataFrame, most of the time, the columns are of a unique type (dtype) and could benefit from some "columnar" approach (instead of row by row, cell by cell approach) to speed up things:

• the ´if´ statements could be evaluated only once per column
• the conversion to string/xml could leverage some "apply / applymap" from pandas
• ... have you already thought about ways to improve this by keeping the "columnar" info further down the pipe (vs transforming everything to cells) for DataFrames ? it is quite specific yet it is a case lot of pandas users are hitting (slowness in exporting to excel).

I save the same file as another file with excel, and then it can be read with openpyxl, so I suspect that there is a problem with the pyexcelerate export file. How can I solve it?

Here is my code when using PyExcelerate

from pyexcelerate import Workbook
def to_excel(df, path, sheet_name="Documents"):
    data = [
        df.columns.tolist(),
    ] + df.values.tolist()
    wb = Workbook()
    wb.new_sheet(sheet_name, data=data)
    wb.save(path)

I can't debug the error because I do not see any value to search. Does anyone know how to fix this?