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Printing Python Output to Excel Sheet(s)

For my master thesis I've created a script.
Now I want that output to be printed to an excel sheet - I read that xlwt can do that, but examples I've found only give instructions to manually print one string to the file. Now I started by adding that code:
import xlwt
new_workbook = xlwt.Workbook(encoding='utf-8')
new_sheet=new_workbook.add_sheet("1")
Now I have no clue where to go from there, can you please give me a hint? I'm guessing I need to somehow start a loop where each time it writes to a new line for each iteration it takes, but am not sure where to start. I'd really appreciate a hint, thank you!

since you are using pandas you can use to_excel to do that.
The usage is quite simple :
Just create a dataframe with the values you need into your excel sheet and save it as excel sheet :
import pandas as pd
df = pd.DataFrame(data={
'col1':["output1","output2","output3"],
'col2':["output1.1","output2.2","output3.3"]
})
df.to_excel("excel_name.xlsx",sheet_name="sheet_name",index=False)

What you need is openpyxl: https://openpyxl.readthedocs.io/en/stable/
from openpyxl import Workbook
wb = openpyxl.load_workbook('your_template.xlsx')
sheet = wb.active
sheet.cell(row=4, column=2).value = 'what you wish to write'
wb.save('save_file_name.xlsx')
wb.close()

Lets say you would save every result to a list total_distances like
total_distances = []
for c1, c2 in coords:
# here your code
total_distances.append(total_distance)
and than save it into worksheet as:
with Workbook('total_distances.xlsx') as workbook:
worksheet = workbook.add_worksheet()
data = ["Total_distance"]
row = 0
worksheet.write_row(row,0,data)
for i in total_distances:
row += 1
data = [round(i,2)]
worksheet.write_row(row,0,data)

How to write a data into an exist sheet of excel file by Python?

I'm looking for a way to write some data into an excel file. Then I found xlwt seems can reach my requirement, but I only find the way to add a new sheet.
for example:
sheet = workbook.add_sheet('test222')
If I hope to enter a value into an exist sheet "test 111", does someone know how to do that?
My sample code:
import xlwt
def write_report():
f_value = "500"
workbook = xlwt.Workbook('D:\\Test.xls')
sheet = workbook.add_sheet('test222')
sheet.write(5, 3, f_value)
workbook.save('D:\\Test.xls')
Thanks a lot.
[Update on 7/31/2018]
After I used the method of import openpyxl, I met a weird issue.
Some borders were disappeared after I write data into the file.
Original:
After I wrote data into the file:
The border of some fields which have been merged were cleared. (item A, item B, Category 01 and Category 02)
Is it the known issue on openpyxl?

This is minmal example:
import openpyxl
wbkName = 'New.xlsx'
wbk = openpyxl.load_workbook(wbkName)
wks = wbk['test1']
someValue = 1337
wks.cell(row=10, column=1).value = someValue
wbk.save(wbkName)
wbk.close
The saving with the explicit name of the workbook seems to be quite important - wbk.save(wbkName), because only wbk.save does not do the job completely, but does not throw an error.

You can use xltpl for this - A python module to generate xls/x files from a xls/x template.
Use your excel file as the template.
Put variables in the cells, such as : {{f_value}}, {%xv someValue%}
from xltpl.writer import BookWriter
writer = BookWriter('template.xls')
payload = {"f_value": "500", "someValue": 1337}
payloads = [payload]
writer.render_book(payloads)
writer.save('result.xls')

How to read a particular cell by using "wb = load_workbook('path', True)" in openpyxl

there
I have written code for reading the large excel files
but my requirement is to read a particular cell like for e.g(cell(row,column) in a excel file when i kept True
in wb = load_workbook('Path', True)
any body please help me...
CODE:
from openpyxl import load_workbook
wb = load_workbook('Path', True)
sheet_ranges = wb.get_sheet_by_name(name = 'Global')
for row in sheet_ranges.iter_rows():
for cell in row:
print cell.internal_value

Since you are using an Optimized Reader, you cannot just access an arbitrary cell using ws.cell(row, column).value:
cell, range, rows, columns methods and properties are disabled
Optimized reader was designed and created specially for reading an umlimited amount of data from an excel file by using iterators.
Basically you should iterate over rows and cells until you get the necessary cell. Here's a simple example:
for r, row in enumerate(sheet_ranges.iter_rows()):
if r == 10:
for c, cell in enumerate(row):
if c == 5:
print cell.internal_value

You can find the answer here.
I recommend you consult the documentation first before asking a question on SO.
In particular, this is pretty much exactly what you want:
d = ws.cell(row = 4, column = 2)
where ws is a worksheet.

How to write/update data into cells of existing XLSX workbook using xlsxwriter in python

I am able to write into new xlsx workbook using
import xlsxwriter
def write_column(csvlist):
workbook = xlsxwriter.Workbook("filename.xlsx",{'strings_to_numbers': True})
worksheet = workbook.add_worksheet()
row = 0
col = 0
for i in csvlist:
worksheet.write(col,row, i)
col += 1
workbook.close()
but couldn't find the way to write in an existing workbook.
Please help me to write/update cells in existing workbook using xlswriter or any alternative.

Quote from xlsxwriter module documentation:
This module cannot be used to modify or write to an existing Excel
XLSX file.
If you want to modify existing xlsx workbook, consider using openpyxl module.
See also:
Modify an existing Excel file using Openpyxl in Python
Use openpyxl to edit a Excel2007 file (.xlsx) without changing its own styles?

you can use this code to open (test.xlsx) file and modify A1 cell and then save it with a new name
import openpyxl
xfile = openpyxl.load_workbook('test.xlsx')
sheet = xfile.get_sheet_by_name('Sheet1')
sheet['A1'] = 'hello world'
xfile.save('text2.xlsx')

Note that openpyxl does not have a large toolbox for manipulating and editing images. Xlsxwriter has methods for images, but on the other hand cannot import existing worksheets...
I have found that this works for rows...
I'm sure there's a way to do it for columns...
import openpyxl
oxl = openpyxl.load_workbook('File Loction Here')
xl = oxl.['SheetName']
x=0
col = "A"
row = x
while (row <= 100):
y = str(row)
cell = col + row
xl[cell] = x
row = row + 1
x = x + 1

You can do by xlwings as well
import xlwings as xw
for book in xlwings.books:
print(book)

If you have issue with writing into an existing xls file because it is already created you need to put checking part like below:
PATH='filename.xlsx'
if os.path.isfile(PATH):
print "File exists and will be overwrite NOW"
else:
print "The file is missing, new one is created"
...
and here part with the data you want to add

How can I open an Excel file in Python?

How do I open a file that is an Excel file for reading in Python?
I've opened text files, for example, sometextfile.txt with the reading command. How do I do that for an Excel file?

Edit:
In the newer version of pandas, you can pass the sheet name as a parameter.
file_name = # path to file + file name
sheet = # sheet name or sheet number or list of sheet numbers and names
import pandas as pd
df = pd.read_excel(io=file_name, sheet_name=sheet)
print(df.head(5)) # print first 5 rows of the dataframe
Check the docs for examples on how to pass sheet_name: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html
Old version:
you can use pandas package as well....
When you are working with an excel file with multiple sheets, you can use:
import pandas as pd
xl = pd.ExcelFile(path + filename)
xl.sheet_names
>>> [u'Sheet1', u'Sheet2', u'Sheet3']
df = xl.parse("Sheet1")
df.head()
df.head() will print first 5 rows of your Excel file
If you're working with an Excel file with a single sheet, you can simply use:
import pandas as pd
df = pd.read_excel(path + filename)
print df.head()

Try the xlrd library.
[Edit] - from what I can see from your comment, something like the snippet below might do the trick. I'm assuming here that you're just searching one column for the word 'john', but you could add more or make this into a more generic function.
from xlrd import open_workbook
book = open_workbook('simple.xls',on_demand=True)
for name in book.sheet_names():
if name.endswith('2'):
sheet = book.sheet_by_name(name)
# Attempt to find a matching row (search the first column for 'john')
rowIndex = -1
for cell in sheet.col(0): #
if 'john' in cell.value:
break
# If we found the row, print it
if row != -1:
cells = sheet.row(row)
for cell in cells:
print cell.value
book.unload_sheet(name)

This isn't as straightforward as opening a plain text file and will require some sort of external module since nothing is built-in to do this. Here are some options:
http://www.python-excel.org/
If possible, you may want to consider exporting the excel spreadsheet as a CSV file and then using the built-in python csv module to read it:
http://docs.python.org/library/csv.html

There's the openpxyl package:
>>> from openpyxl import load_workbook
>>> wb2 = load_workbook('test.xlsx')
>>> print wb2.get_sheet_names()
['Sheet2', 'New Title', 'Sheet1']
>>> worksheet1 = wb2['Sheet1'] # one way to load a worksheet
>>> worksheet2 = wb2.get_sheet_by_name('Sheet2') # another way to load a worksheet
>>> print(worksheet1['D18'].value)
3
>>> for row in worksheet1.iter_rows():
>>> print row[0].value()

You can use xlpython package that requires xlrd only.
Find it here https://pypi.python.org/pypi/xlpython
and its documentation here https://github.com/morfat/xlpython

This may help:
This creates a node that takes a 2D List (list of list items) and pushes them into the excel spreadsheet. make sure the IN[]s are present or will throw and exception.
this is a re-write of the Revit excel dynamo node for excel 2013 as the default prepackaged node kept breaking. I also have a similar read node. The excel syntax in Python is touchy.
thnx #CodingNinja - updated : )
###Export Excel - intended to replace malfunctioning excel node
import clr
clr.AddReferenceByName('Microsoft.Office.Interop.Excel, Version=15.0.0.0, Culture=neutral, PublicKeyToken=71e9bce111e9429c')
##AddReferenceGUID("{00020813-0000-0000-C000-000000000046}") ''Excel C:\Program Files\Microsoft Office\Office15\EXCEL.EXE
##Need to Verify interop for version 2015 is 15 and node attachemnt for it.
from Microsoft.Office.Interop import * ##Excel
################################Initialize FP and Sheet ID
##Same functionality as the excel node
strFileName = IN[0] ##Filename
sheetName = IN[1] ##Sheet
RowOffset= IN[2] ##RowOffset
ColOffset= IN[3] ##COL OFfset
Data=IN[4] ##Data
Overwrite=IN[5] ##Check for auto-overwtite
XLVisible = False #IN[6] ##XL Visible for operation or not?
RowOffset=0
if IN[2]>0:
RowOffset=IN[2] ##RowOffset
ColOffset=0
if IN[3]>0:
ColOffset=IN[3] ##COL OFfset
if IN[6]<>False:
XLVisible = True #IN[6] ##XL Visible for operation or not?
################################Initialize FP and Sheet ID
xlCellTypeLastCell = 11 #####define special sells value constant
################################
xls = Excel.ApplicationClass() ####Connect with application
xls.Visible = XLVisible ##VISIBLE YES/NO
xls.DisplayAlerts = False ### ALerts
import os.path
if os.path.isfile(strFileName):
wb = xls.Workbooks.Open(strFileName, False) ####Open the file
else:
wb = xls.Workbooks.add# ####Open the file
wb.SaveAs(strFileName)
wb.application.visible = XLVisible ####Show Excel
try:
ws = wb.Worksheets(sheetName) ####Get the sheet in the WB base
except:
ws = wb.sheets.add() ####If it doesn't exist- add it. use () for object method
ws.Name = sheetName
#################################
#lastRow for iterating rows
lastRow=ws.UsedRange.SpecialCells(xlCellTypeLastCell).Row
#lastCol for iterating columns
lastCol=ws.UsedRange.SpecialCells(xlCellTypeLastCell).Column
#######################################################################
out=[] ###MESSAGE GATHERING
c=0
r=0
val=""
if Overwrite == False : ####Look ahead for non-empty cells to throw error
for r, row in enumerate(Data): ####BASE 0## EACH ROW OF DATA ENUMERATED in the 2D array #range( RowOffset, lastRow + RowOffset):
for c, col in enumerate (row): ####BASE 0## Each colmn in each row is a cell with data ### in range(ColOffset, lastCol + ColOffset):
if col.Value2 >"" :
OUT= "ERROR- Cannot overwrite"
raise ValueError("ERROR- Cannot overwrite")
##out.append(Data[0]) ##append mesage for error
############################################################################
for r, row in enumerate(Data): ####BASE 0## EACH ROW OF DATA ENUMERATED in the 2D array #range( RowOffset, lastRow + RowOffset):
for c, col in enumerate (row): ####BASE 0## Each colmn in each row is a cell with data ### in range(ColOffset, lastCol + ColOffset):
ws.Cells[r+1+RowOffset,c+1+ColOffset].Value2 = col.__str__()
##run macro disbled for debugging excel macro
##xls.Application.Run("Align_data_and_Highlight_Issues")

import pandas as pd
import os
files = os.listdir('path/to/files/directory/')
desiredFile = files[i]
filePath = 'path/to/files/directory/%s'
Ofile = filePath % desiredFile
xls_import = pd.read_csv(Ofile)
Now you can use the power of pandas DataFrames!

This code worked for me with Python 3.5.2. It opens and saves and excel. I am currently working on how to save data into the file but this is the code:
import csv
excel = csv.writer(open("file1.csv", "wb"))