pyexcel | Single API for reading , manipulating and writing data | CSV Processing library
kandi X-RAY | pyexcel Summary
kandi X-RAY | pyexcel Summary
Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files
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Top functions reviewed by kandi - BETA
- Select columns
- Convert names to indices
- Append an item
- Return the range of columns
- Select rows from the table
- Group rows by column index
- Iterate over the rows
- Returns the list at the given index
- Set column names for a row
- Render a list of models to stream
- Extend self columns
- Save the table to a database
- Apply a function to each cell
- Render a table to stream
- Returns a generator of all rows in the grid
- Update the columns of the given infiles
- Returns all the rows in the table
- Returns an iterator over the rows
- Returns an iterator of the columns
- Return an iterator over the cells
- Vertices of the array
- Runs the build process
- Save worksheet to database
- Decorator for importer
- Updates row_dict with row_dicts
- Return a DataFrame reader for column series
pyexcel Key Features
pyexcel Examples and Code Snippets
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Copyfrom pyexcel_ods3 import get_data
data = get_data("your_file.ods")
def another_one(sequence):
item = random.choice(sequence)
if item[0] == fighter_one:
return another_one(sequence)
elif item[1] < 20:
return another_one(sequence)
else:
new_guy = item
returfor root, dirs, files in os.walk(rootdir):
for name in files:
if name.endswith('.xls'):
fname = os.path.join(root, name)
new_file = p.save_book_as(file_name=fname, dest_file_name=os.path.join(root, fnamedf = pd.DataFrame(my_dict.items(), columns=['Summary','Count']).assign(my_list=my_list)
df = pd.DataFrame(my_dict.items(), columns=['Summary','Count']) # Your existing statement unchanged
df['my_list'] = my_list
df.to_excel(f'{nome}.xlsx')
pip install pyexcel pyexcel-ods
from pyexcel import get_book
sheet = get_book(file_name="file_example_ODS_10.ods")
print(sheet)
from pyexcel import get_book
sheet = get_book(file_name="fidef to_percent_format(p):
if str(p).strip() != "-":
return "{:.2%}".format(p/100)
else:
return p.strip()
>>> to_percent_format(3)
'3.00%'
>>> to_percent_format("-")
'-'
begin
dbms_scheduler.create_program
(
program_name => 'PYEXCEL',
program_type => 'EXECUTABLE',
program_action => '/the_path/the_py_script_wrapper.ks',
enabled => TRUE,
comments => 'Call Python stuff'
);
end;
/
keys = []
values = []
for key, value in s_words.items():
keys.append(key)
values.append(value)
o_words = OrderedDict({'words': keys, 'frequency': values})
sheet = pe.get_sheet(adictpe.save_as(adict = myDict, dest_file_name = "dest_file.xls")
Community Discussions
Trending Discussions on pyexcel
QUESTION
Once I have read data from a sheet in a .xls file. I want to put that data in a sheet in an existing excel file with .ods extension without changing anything else in the excel file. I tried openpyxl but it doesn't support .ods files so I tried using pyexcel-ods3 but I am still not sure how to use pyexcel-ods3 to update an existing .ods file.
This is the code I tried but its for writing a new .ods excel file and not for updating an existing one
...ANSWER
Answered 2022-Mar-09 at 15:25You aren't loading the original file in order for it to be changed.
The library doesn't detect that you are looking to change an existing file, if you save a file with the name of a file that exists it will overwrite the existing file.
In order to amend a file, you need to load it, potentially recreate the structure in memory, and make you changes, and then save it back to the filesystem.
The relevant piece of code from the link you posted is:
QUESTION
I am saving the contents of an excel file to a SQLAlchemy DB table using pyexcel as following: pyexcel.save_as(file_name='my_excel_file.xlsx',
name_columns_by_row=0,
dest_session=db.session,
dest_table=models.MyModel)
This is working well and saving the data but it's leaving several log messages that One empty row is found in the terminal. How do I suppress these messages to avoid polluting the logs? I know about the empty rows and they have no impact to the data loading
ANSWER
Answered 2022-Feb-06 at 15:39So turns out pyexcel does a bit more on abstractions, the heavy lifting is done by pyexcel-io which does the basic input and output.
With this understanding, in the pyexcel docs there is a parameter skip_empty_rows=True for when you reading from a source file which if you pass to the pyexcel.save_as function and this silences the logged messages, so it was exactly what I needed in this use-case.
See PyExcel Docs Ref for pyexcel.save_as
QUESTION
I am trying to merge multiple .xls files that have many columns, but 1 column with hyperlinks. I try to do this with Python but keep running into unsolvable errors.
Just to be concise, the hyperlinks are hidden under a text section. The following ctrl-click hyperlink is an example of what I encounter in the .xls files: ES2866911 (T3).
In order to improve reproducibility, I have added .xls1 and .xls2 samples below.
xls1:
Title Publication_Number P_A ES2866911 (T3) P_B EP3887362 (A1).xls2:
Title Publication_Number P_C AR118706 (A2) P_D ES2867600 (T3)Desired outcome:
Title Publication_Number P_A ES2866911 (T3) P_B EP3887362 (A1) P_C AR118706 (A2) P_D ES2867600 (T3)I am unable to get .xls file into Python without losing formatting or losing hyperlinks. In addition I am unable to convert .xls files to .xlsx. I have no possibility to acquire the .xls files in .xlsx format. Below I briefly summarize what I have tried:
1.) Reading with pandas was my first attempt. Easy to do, but all hyperlinks are lost in PD, furthermore all formatting from original file is lost.
2.) Reading .xls files with openpyxl.load
...ANSWER
Answered 2021-Dec-24 at 15:29Without a clear reproducible example, the problem is not clear. Assume I have two files called tmp.xls and tmp2.xls containing dummy data as in the two screenshots below.
Then pandas can easily, load, concatenate, and convert to .xlsx format without loss of hyperlinks. Here is some demo code and the resulting file:
QUESTION
My django app deployed in heroku managed to show upload file form. However once I try uploading Excel xlsx file, it shows
...ANSWER
Answered 2021-Oct-31 at 02:27I recommend hosting your django app in pythonanywhere.com
With a little bit of search I found that people is having problem with the library you are using for excel files when deploying in heroku, maybe heroku can't support pyexcel.
Here is a tutorial of how to deploy your app in pythonanywhere https://www.youtube.com/watch?v=Y4c4ickks2A
QUESTION
I am using Django to develop an ERP and I want to use pre-commit with my project.
I have installed pre-commit, black, flake8, flake8-black. and this is my
...ANSWER
Answered 2021-Jun-27 at 07:04This is a known issue with cpython on windows. The error occurs when black tries to run multiple workers on >60 core machines because the default number of process workers given by os.cpu_count() breaks some other windows limit (number of waiting processes? I'm not quite sure). Black >=19.10b0 has a fix for this, so try updating the version of black in your pre-commit config if you can?
- Python bug report: https://bugs.python.org/issue26903
- Fix applied by this PR in black: https://github.com/psf/black/pull/838
QUESTION
my code looks like this:
...ANSWER
Answered 2021-Jun-09 at 11:51Try below code. I guess the problem is that you try to delete files in sub_directory that are different from your Python root.
QUESTION
i wrote a python code to automate a conversion, firstly i get a .pdf, then i covert o a .csv, get the tables i want, and then i convert it to .xlsx. Does anyone know if i can export the headers i have in .csv to the .xlsx file?
here's the .csv file: .csv table
here's the .xlsx export: .xlsx table
I'm adding the headers using pandas:
...ANSWER
Answered 2021-Mar-26 at 11:45Instead of using the saved csv try using the df you already created.
QUESTION
I want to make use of a promising NN I found at towardsdatascience for my case study.
The data shapes I have are:
...ANSWER
Answered 2020-Aug-17 at 18:14I cannot reproduce your error, check if the following code works for you:
QUESTION
I am successfully writing dataframes to Excel using df.to_excel(). Unfortunately, this is slow and consumes gobs of memory. The larger the dataset, the more memory it consumes, until (with the largest datasets I need to deal with) the server starves for resources.
I found that using the df.to_csv() method instead offers the convenient chunksize=nnnn argument. This is far faster and consumes almost no extra memory. Wonderful! I'll just write initially to .csv, then convert the .csv to .xlsx in another process. I tried doing it with openpyxl, but every solution I found iterated through the csv data one row at a time, appending to a Workbook sheet, e.g.
ANSWER
Answered 2020-Jul-18 at 01:06Probably you could use the library pyexcelerate - https://github.com/kz26/PyExcelerate. They have posted the benchmarks on their github repo
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyexcel
You can use pyexcel like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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