Why the following code can't format 44000 to a date in excel? It shows up in xls file as the original number no matter what I try.
Things I have tried:
Different format string, none works. I copy them from source file so no mistake here
Check style object with breakpoint, it gets the correct num_format_str
quote or un-quote the number
I am using Mac Preview to open the xls file if that's relevant.
import xlwt
book = xlwt.Workbook(encoding='utf8')
sheet = book.add_sheet('sheet 1')
style = xlwt.easyxf(num_format_str="M/D/YY")
sheet.write(1, 1, 44000, style=style)
response = HttpResponse(mimetype='application/vnd.ms-excel')
response['Content-Disposition'] = 'attachment; filename=test.xls'
book.save(response)
return response
The code is with no problem. Problem is with Mac Preview.. I open the file in Excel on Windows and 44400 shows as date.
Related
I'm having trouble with converting full transcribed speech to a text file. Eventually, I get what I need but not the entire text from the audio file. Let me note this (1 Pic), I can see the whole text when I use print() function but get only one line of that text when I try to write it to .txt file (2 Pic).
Also, you can look at my code if you need additional info and stuff. Thank you in advance!
from google.cloud import speech
import os
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'PATH'
client = speech.SpeechClient()
with open('sample.wav', "rb") as audio_file:
content = audio_file.read()
audio = speech.RecognitionAudio(content=content)
config = speech.RecognitionConfig(
encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=8000,
language_code="en-US",
# Enable automatic punctuation
enable_automatic_punctuation=True,
)
response = client.recognize(config=config, audio=audio)
for result in response.results:
extr = result.alternatives[0].transcript
print(extr)
with open("guru9.txt","w+") as f:
f.write(extr)
f.close()
What happens in your code is, per iteration you open, write, close your file. You should move out your opening and closing of your file outside the loop.
myfile = open("guru9.txt","w+")
for result in response.results:
extr = result.alternatives[0].transcript
myfile.write(extr)
myfile.close()
I am trying to export a Pandas dataframe from a Django app as an Excel file. I currently export it to CSV file and this works fine except as noted. The problem is that when the user open the csv file in Excel App, a string that looks like numbers .... for example a cell with a value of '111,1112' or '123E345' which is intended to be a string, ends up showing as error or exponent in Excel view; even if I make sure that the Pandas column is not numeric.
This is how I export to CSV:
response = HttpResponse(content_type='text/csv')
filename = 'aFileName'
response['Content-Disposition'] = 'attachment; filename="' + filename + '"'
df.to_csv(response, encoding='utf-8', index=False)
return response
To export with content type EXCEL, I saw several references where the following approach was recommended:
with BytesIO() as b:
# Use the StringIO object as the filehandle.
writer = pd.ExcelWriter(b, engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1')
writer.save()
return HttpResponse(b.getvalue(), content_type='application/vnd.ms-excel')
When I try this, It appears to export something, but if I try to open the file in Excel Office 2016, I get a Excel message that the file is corrupted. Generally the size is few KB at most.
Please advise what could be wrong with the 2nd approach that is causing a bad export. I am using Django 2.2.1, Pandas 0.25.1
Thank you
I have a website that has a button. When it's clicked, it returns a number of pandas dataframers into an excel file and returns that excel file automatically as download.
It seems to work ok, except when I open the file, it seems to be corrupted. It asks if some of the tabs should be recovered. I'm using the code below. Any suggestions are appreciated what could be the cause for this.
import io
from flask.helpers import make_response
from pandas.io.excel import ExcelWriter
output = io.BytesIO()
writer = ExcelWriter(output)
dfs = [df1,df2....]
tabs ['tab1','tab2',....]
for df, tab_name in zip(dfs, tab_names):
df.to_excel(writer, tab_name)
writer.close()
resp = make_response(output.getvalue())
resp.headers['Content-Disposition'] = 'attachment; filename=output.xlsx'
resp.headers["Content-type"] = "text/csv"
return resp
You'll need to to add
output.seek(0)
after you close the writer.
You might also find it easier to write
return send_file(output, attachment_filename="output.xlsx", as_attachment=True)
(after importing send_file from flask)
I'm trying to use openpyxl to write data to an existing xlsx workbook and save it as a separate file. I would like to write a dataframe to a sheet called 'Data' and write some values to another sheet called 'Summary' then save the workbook object as 'test.xlsx'. I have the following code that writes the calculations I need to the summary sheet, but I get a TypeError for an unexpected keyword argument 'font' when I try to write the dateframe, which doesn't make much sense to me...
I'm using the following code which I've adapted from here
from openpyxl import load_workbook
import pandas as pd
book = load_workbook('template.xlsx')
# Write values to summary sheet
ws = book.get_sheet_by_name('Summary')
ws['A1'] = 'TEST'
book.save('test.xlsx')
# Write df
writer = pd.ExcelWriter('test.xlsx', engine='openpyxl')
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)
df.to_excel(writer, sheet_name="Data", index=False)
writer.save()
The trace-back:
File "C:\Users\me\AppData\Local\Continuum\Anaconda\lib\site- packages\pandas\core\frame.py", line 1274, in to_excel
startrow=startrow, startcol=startcol)
File "C:\Users\me\AppData\Local\Continuum\Anaconda\lib\site-packages\pandas\io\excel.py", line 778, in write_cells
xcell.style = xcell.style.copy(**style_kwargs)
File "C:\Users\me\AppData\Local\Continuum\Anaconda\lib\site-packages\openpyxl-2.2.2-py2.7.egg\openpyxl\compat\__init__.py", line 67, in new_func
return obj(*args, **kwargs)
TypeError: copy() got an unexpected keyword argument 'font'
I think the error arises from necessary changes in the openpyxl styles API. As a result Pandas installs an older version of openpyxl. You should be okay, therefore, if you remove openpyxl 2.2
hi im trying to watermark a pdf fileusing pypdf2 though i get this error i cant figure out what goes wrong.
i get the following error:
Traceback (most recent call last): File "test.py", line 13, in <module>
page.mergePage(watermark.getPage(0)) File "C:\Python27\site-packages\PyPDF2\pdf.py", line 1594, in mergePage
self._mergePage(page2) File "C:\Python27\site-packages\PyPDF2\pdf.py", line 1651, in _mergePage
page2Content, rename, self.pdf) File "C:Python27\site-packages\PyPDF2\pdf.py", line 1547, in
_contentStreamRename
op = operands[i] KeyError: 0
using python 2.7.6 with pypdf2 1.19 on windows 32bit.
hopefully someone can tell me what i do wrong.
my python file:
from PyPDF2 import PdfFileWriter, PdfFileReader
output = PdfFileWriter()
input = PdfFileReader(open("test.pdf", "rb"))
watermark = PdfFileReader(open("watermark.pdf", "rb"))
# print how many pages input1 has:
print("test.pdf has %d pages." % input.getNumPages())
print("watermark.pdf has %d pages." % watermark.getNumPages())
# add page 0 from input, but first add a watermark from another PDF:
page = input.getPage(0)
page.mergePage(watermark.getPage(0))
output.addPage(page)
# finally, write "output" to document-output.pdf
outputStream = file("outputs.pdf", "wb")
output.write(outputStream)
outputStream.close()
Try writing to a StringIO object instead of a disk file. So, replace this:
outputStream = file("outputs.pdf", "wb")
output.write(outputStream)
outputStream.close()
with this:
outputStream = StringIO.StringIO()
output.write(outputStream) #write merged output to the StringIO object
outputStream.close()
If above code works, then you might be having file writing permission issues. For reference, look at the PyPDF working example in my article.
I encountered this error when attempting to use PyPDF2 to merge in a page which had been generated by reportlab, which used an inline image canvas.drawInlineImage(...), which stores the image in the object stream of the PDF. Other PDFs that use a similar technique for images might be affected in the same way -- effectively, the content stream of the PDF has a data object thrown into it where PyPDF2 doesn't expect it.
If you're able to, a solution can be to re-generate the source pdf, but to not use inline content-stream-stored images -- e.g. generate with canvas.drawImage(...) in reportlab.
Here's an issue about this on PyPDF2.