I am hoping you can help me - I'm sure its likely a small thing to fix, when one knows how.
In my workshop, neither I nor my colleagues can make 'find and replace all' changes via the front-end of our database. The boss just denies us that level of access. If we need to make changes to dozens or perhaps hundreds of records it must all be done by copy-and-paste or similar means. Craziness.
I am trying to make a workaround to that with Python 2 and in particular libraries such as Pandas, pyautogui and xlrd.
I have researched serval StackOverflow threads and have managed thus far to write some code that works well at reading a given XL file .In production, this will be a file exported from a found data set in the database GUI front-end and will be just a single column of 'Article Numbers' for the items in the computer workshop. This will always have an Excel column header. E.g
ANR
51234
34567
12345
...
All the records numbers are 5 digit numbers.
We also have the means of scanning items with an IR scanner to a 'Workflow' app on the iPad we have and automatically making an XL file out of that list of scanned items.
The XL file here could look something similar to this.
56788
12345
89012
...
It differs in that there is no column header. All XL files have their data 'anchored' at cell A1 on 'Sheet1" and again just single column will be used. No unnecessary complications here!
Here is the script anyway. When it is fully working system arguments will be supplied to it. For now, let's pretend that we need to change records to have their 'RAM' value changed from
"2GB" to "2 GB".
import xlrd
import string
import re
import pandas as pd
field = "RAM"
value = "2 GB"
myFile = "/Users/me/folder/testArticles.xlsx"
df = pd.read_excel(myFile)
myRegex = "^[0-9]{5}$"
# data collection and putting into lists.
workbook = xlrd.open_workbook(myFile)
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]
formatted = []
deDuped = []
# removing any possible XL headers, setting all values to strings
# that look like five-digit ints, apply a regex to be sure.
for i in data:
cellValue = str(i)
cellValue = cellValue.translate(None, '\'[u]\'')
# remove the decimal point
# Searching for the header will cause a database front-end problem.
cellValue = cellValue[:-2]
cellValue = cellValue.translate(None, string.letters)
# making sure only valid article numbers get through
# blank rows etc can take a hike
if len(cellValue) != 0:
if re.match(myRegex, cellValue):
formatted.append(cellValue)
# weeding out any possilbe dupes.
for i in formatted:
if i not in deDuped:
deDuped.append(i)
#main code block
for i in deDuped:
#lots going on here involving pyauotgui
#making sure of no error running searches, checking for warnings, moving/tabbing around DB front-end etc
#if all goes to plan
#removing that record number from the excel file and saving the change
#so that if we run the script again for the same XL file
#we don't needlessly update an already OK record again.
df = df[~df['ANR'].astype(str).str.startswith(i)]
df.to_excel(myFile, index=False)
What I really would to like to find out is how can I run the script so that "doesn't care" about the presence or absence of the column header.
df = df[~df['ANR'].astype(str).str.startswith(i)]
Appears to be the line of code where this all hangs on. I've made several changes to the line in different combination but my script always crashes.
If a column header, ("ANR") in my case, is essential for this particular 'pandas' method is there a straight-forward way of inserting a column header into an XL file if it lacks one in the first place - i.e the XL files that come from the IR scanner and the 'Workflow' app on the iPad?
Thanks guys!
UPDATE
I've tried as suggested by Patrick implementing some code to check if cell "A1" has a header or not. Partial success. I can put "ANR" in cell A1 if its missing but I lose whatever was there in the first place.
import xlwt
from openpyxl import Workbook, load_workbook
from xlutils.copy import copy
import openpyxl
# data collection
workbook = xlrd.open_workbook(myFile)
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]
cell_a1 = sheet.cell_value(rowx=0, colx=0)
if cell_a1 == "ANR":
print "has header"
else:
wb = openpyxl.load_workbook(filename= myFile)
ws = wb['Sheet1']
ws['A1'] = "ANE"
wb.save(myFile)
#re-open XL file again etc etc.
I found this new block of code over at writing to existing workbook using xlwt. In this instance the contributor actually used openpyxl.
I think I got it fixed for myself.
Still a tiny bit messy but seems to be working. Added an 'if/else' clause to check the value of cell A1 and to take action accordingly. Found most of the code for this at how to append data using openpyxl python to excel file from a specified row? - using the suggestion for openpyxl
import pyperclip
import xlrd
import pyautogui
import string
import re
import os
import pandas as pd
import xlwt
from openpyxl import Workbook, load_workbook
from xlutils.copy import copy
field = "RAM"
value = "2 GB"
myFile = "/Users/me/testSerials.xlsx"
df = pd.read_excel(myFile)
myRegex = "^[0-9]{5}$"
# data collection
workbook = xlrd.open_workbook(myFile)
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]
cell_a1 = sheet.cell_value(rowx=0, colx=0)
if cell_a1 == "ANR":
print "has header"
else:
headers = ['ANR']
workbook_name = 'myFile'
wb = Workbook()
page = wb.active
# page.title = 'companies'
page.append(headers) # write the headers to the first line
workbook = xlrd.open_workbook(workbook_name)
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]
for records in data:
page.append(records)
wb.save(filename=workbook_name)
#then load the data all over again, this time with inserted header
workbook = xlrd.open_workbook(myFile)
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]
formatted = []
deDuped = []
# removing any possible XL headers, setting all values to strings that look like five-digit ints, apply a regex to be sure.
for i in data:
cellValue = str(i)
cellValue = cellValue.translate(None, '\'[u]\'')
# remove the decimal point
cellValue = cellValue[:-2]
# cellValue = cellValue.translate(None, ".0")
cellValue = cellValue.translate(None, string.letters)
# making sure any valid ANRs get through
if len(cellValue) != 0:
if re.match(myRegex, cellValue):
formatted.append(cellValue)
# ------------------------------------------
# weeding out any possilbe dupes.
for i in formatted:
if i not in deDuped:
deDuped.append(i)
# ref - https://stackoverflow.com/questions/48942743/python-pandas-to-remove-rows-in-excel
df = pd.read_excel(myFile)
print df
for i in deDuped:
#pyautogui code is run here...
#if all goes to plan update the XL file
df = df[~df['ANR'].astype(str).str.startswith(i)]
df.to_excel(myFile, index=False)
Related
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
InvalidFileException: openpyxl does not support the old .xls file format, please use xlrd to read this file, or convert it to the more recent .xlsx file format.
3.) Converting .xls files to .xlsx
from xls2xlsx import XLS2XLSX
x2x = XLS2XLSX(input.file.xls)
wb = x2x.to_xlsx()
x2x.to_xlsx('output_file.xlsx')
TypeError: got invalid input value of type <class 'xml.etree.ElementTree.Element'>, expected string or Element
import pyexcel as p
p.save_book_as(file_name=input_file.xls, dest_file_name=export_file.xlsx)
TypeError: got invalid input value of type <class 'xml.etree.ElementTree.Element'>, expected string or Element
During handling of the above exception, another exception occurred:
StopIteration
4.) Even if we are able to read the .xls file with xlrd for example (meaning we will never be able to save the file as .xlsx, I can't even see the hyperlink:
import xlrd
wb = xlrd.open_workbook(file) # where vis.xls is your test file
ws = wb.sheet_by_name('Sheet1')
ws.cell(5, 1).value
'AR118706 (A2)' #Which is the name, not hyperlink
5.) I tried installing older versions of openpyxl==3.0.1 to overcome type error to no succes. I tried to open .xls file with openpyxl with xlrd engine, similar typerror "xml.entree.elementtree.element' error occured. I tried many ways to batch convert .xls files to .xlsx all with similar errors.
Obviously I can just open with excel and save as .xlsx but this defeats the entire purpose, and I can't do that for 100's of files.
You need to use xlrd library to read the hyperlinks properly, pandas to merge all data together and xlsxwriter to write the data properly.
Assuming all input files have same format, you can use below code.
# imports
import os
import xlrd
import xlsxwriter
import pandas as pd
# required functions
def load_excel_to_df(filepath, hyperlink_col):
book = xlrd.open_workbook(file_path)
sheet = book.sheet_by_index(0)
hyperlink_map = sheet.hyperlink_map
data = pd.read_excel(filepath)
hyperlink_col_index = list(data.columns).index(hyperlink_col)
required_links = [v.url_or_path for k, v in hyperlink_map.items() if k[1] == hyperlink_col_index]
data['hyperlinks'] = required_links
return data
# main code
# set required variables
input_data_dir = 'path/to/input/data/'
hyperlink_col = 'Publication_Number'
output_data_dir = 'path/to/output/data/'
output_filename = 'combined_data.xlsx'
# read and combine data
required_files = os.listdir(input_data_dir)
combined_data = pd.DataFrame()
for file in required_files:
curr_data = load_excel_to_df(data_dir + os.sep + file, hyperlink_col)
combined_data = combined_data.append(curr_data, sort=False, ignore_index=True)
cols = list(combined_data.columns)
m, n = combined_data.shape
hyperlink_col_index = cols.index(hyperlink_col)
# writing data
writer = pd.ExcelWriter(output_data_dir + os.sep + output_filename, engine='xlsxwriter')
combined_data[cols[:-1]].to_excel(writer, index=False, startrow=1, header=False) # last column contains hyperlinks
workbook = writer.book
worksheet = writer.sheets[list(workbook.sheetnames.keys())[0]]
for i, col in enumerate(cols[:-1]):
worksheet.write(0, i, col)
for i in range(m):
worksheet.write_url(i+1, hyperlink_col_index, combined_data.loc[i, cols[-1]], string=combined_data.loc[i, hyperlink_col])
writer.save()
References:
reading hyperlinks - https://stackoverflow.com/a/7057076/17256762
pandas to_excel header formatting - Remove default formatting in header when converting pandas DataFrame to excel sheet
writing hyperlinks with xlsxwriter - https://xlsxwriter.readthedocs.io/example_hyperlink.html
Without 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:
import pandas as pd
f1 = pd.read_excel('tmp.xls')
f2 = pd.read_excel('tmp2.xls')
f3 = pd.concat([f1, f2], ignore_index=True)
f3.to_excel('./f3.xlsx')
Inspired by #Kunal, I managed to write code that avoids using Pandas libraries. .xls files are read by xlrd, and written to a new excel file by xlwt. Hyperlinks are maintened, and output file was saved as .xlsx format:
import os
import xlwt
from xlrd import open_workbook
# read and combine data
directory = "random_directory"
required_files = os.listdir(directory)
#Define new file and sheet to get files into
new_file = xlwt.Workbook(encoding='utf-8', style_compression = 0)
new_sheet = new_file.add_sheet('Sheet1', cell_overwrite_ok = True)
#Initialize header row, can be done with any file
old_file = open_workbook(directory+"/"+required_files[0], formatting_info=True)
old_sheet = old_file.sheet_by_index(0)
for column in list(range(0, old_sheet.ncols)):
new_sheet.write(0, column, old_sheet.cell(0, column).value) #To create header row
#Add rows from all files present in folder
for file in required_files:
old_file = open_workbook(directory+"/"+file, formatting_info=True)
old_sheet = old_file.sheet_by_index(0) #Define old sheet
hyperlink_map = old_sheet.hyperlink_map #Create map of all hyperlinks
for row in range(1, old_sheet.nrows): #We need all rows except header row
if row-1 < len(hyperlink_map.items()): #Statement to ensure we do not go out of range on the lower side of hyperlink_map.items()
Row_depth=len(new_sheet._Worksheet__rows) #We need row depth to know where to add new row
for col in list(range(old_sheet.ncols)): #For every column we need to add row cell
if col is 1: #We need to make an exception for column 2 being the hyperlinked column
click=list(hyperlink_map.items())[row-1][1].url_or_path #define URL
new_sheet.write(Row_depth, col, xlwt.Formula('HYPERLINK("{}", "{}")'.format(click, old_sheet.cell(row, 1).value)))
else: #If not hyperlinked column
new_sheet.write(Row_depth, col, old_sheet.cell(row, col).value) #Write cell
new_file.save("random_directory/output_file.xlsx")
I assume the same as daedalus in terms of the excel files. Instead of pandas I use openpyxl to read and create a new excel file.
import openpyxl
wb1 = openpyxl.load_workbook('tmp.xlsx')
ws1 = wb.get_sheet_by_name('Sheet1')
wb2 = openpyxl.load_workbook('tmp2.xlsx')
ws2 = wb.get_sheet_by_name('Sheet1')
csvDict = {}
# Go through first sheet to find the hyperlinks and keys.
for (row in ws1.max_row):
hyperlink_dict[ws1.cell(row=row, column=1).value] =
[ws1.cell(row=row, column=2).hyperlink.target,
ws1.cell(row=row, column=2).value]
# Go Through second sheet to find hyperlinks and keys.
for (row in ws2.max_row):
hyperlink_dict[ws2.cell(row=row, column=1).value] =
[ws2.cell(row=row, column=2).hyperlink.target,
ws2.cell(row=row, column=2).value]
Now you have all the data so you can create a new workbook and save the values from the dict into it via opnenpyxl.
wb = Workbook(write_only=true)
ws = wb.create_sheet()
for irow in len(csvDict):
#use ws.append() to add the data from the csv.
wb.save('new_big_file.xlsx')
https://openpyxl.readthedocs.io/en/stable/optimized.html#write-only-mode
I have read almost all the questions posted but still can't find any solution for it.
I have wb1.xls and wb2.xls.
All I want is to create wb3 with wb1.xls in sheet 1 and wb2 in sheet 2 but I can't seem to figure out .. Any help ?
import xlwt
import xlrd
import glob, os
import numpy as np
from xlutils.copy import copy
os.chdir("E:/docs/")
wb1=[file for file in glob.glob("wb1*")]
wb2=[file for file in glob.glob("wb2*")]
s1 = xlrd.open_workbook(filename = wb1[0])
s2 = xlrd.open_workbook(filename = wb2[0])
...
And I'm stuck here.... Any idea ? Note I'm working with xls not xlsx.
It would depend on the original workbooks. Are there any formulae that need to be transferred? Per cell formatting, fonts, styles, highlights, etc? If it is just raw data it is simple enough.
import xlrd
import xlwt
# open first excel file, store number of rows,cols and sheet name
wb_1 = open_workbook("file1.xls")
sheet_1 = wb.sheet_by_index(0)
maxRows_1 = sheet_1.nrows
maxCols_1 = sheet_1.ncols
sName_1 = sheet_1.name
i = 0
j = 0
# create output excel file
wb_out = xlwt.Workbook()
sheet_out_1 = wb_out.add_sheet(sName_1)
# Loop through writing each cell value
while i<maxRows_1:
while j<maxCols_1:
sheet_out_1.write(i,j, sheet_1.cell(i,j).value)
j += 1
j = 0
i += 1
# repeat for second excel file
# then save your new excel
wb_out.save("newFile.xls")
This will work as long as you are not concerned with styles and highlights ect.
This does not handle dates as excel stores them as floats. If you need to handle dates you will need to parse them. Consider this to help with them.
I'm trying to use the openpyxl module to take a spreadsheet, see if there are empty cells in a certain column (in this case, column E), and then copy the rows that contain those empty cells to a new spreadsheet. The code runs without traceback, but the resulting file won't open. What's going on?
Here's my code:
#import the openpyxl module
import openpyxl
#First create a new workbook & sheet
newwb = openpyxl.Workbook()
newwb.save('TESTINGTHISTHING.xlsx')
newsheet = newwb.get_sheet_by_name('Sheet')
#open the original file
wb = openpyxl.load_workbook('OriginalWorkbook.xlsx')
#create a sheet object
sheet = wb.get_sheet_by_name('Sheet1')
#Find out how many cells of a certain column are left blank,
#and what rows they're in
count = 0
listofrows = []
for row in range(2, sheet.get_highest_row() + 1):
company = sheet['E' + str(row)].value
if company == None:
listofrows.append(row)
count += 1
print listofrows
print count
#Put the values of the rows with blank company names into the new sheet
for i in range(len(listofrows)):
j = 0
newsheet['A' + str(i+1)] = sheet['A' + str(listofrows[j])].value
j += 1
newwb.save('TESTINGTHISTHING.xlsx')
Please help!
I just ran your program with a mock document. I was able to open my output file without problem. Your issues probably relies within your excel or openpyxl version.
Please provide your software versions in addition to your source document so I can look further into the issue.
You can always update openpyxl with:
c:\Python27\Scripts
pip install openpyxl --upgrade
I'm having an issue with saving an Excel file in openpyxl.
I'm trying to create a processing script which would grab data from one excel file, dump it into a dump excel file, and after some tweaking around with formulas in excel, I will have all of the processed data in the dump excel file. My current code is as so.
from openpyxl import load_workbook
import os
import datetime
from openpyxl.cell import get_column_letter, Cell, column_index_from_string, coordinate_from_string
dump = dumplocation
desktop = desktoplocation
date = datetime.datetime.now().strftime("%Y-%m-%d")
excel = load_workbook(dump+date+ ".xlsx", use_iterators = True)
sheet = excel.get_sheet_by_name("Sheet1")
try:
query = raw_input('How many rows of data is there?\n')
except ValueError:
print 'Not a number'
#sheetname = raw_input('What is the name of the worksheet in the data?\n')
for filename in os.listdir(desktop):
if filename.endswith(".xlsx"):
print filename
data = load_workbook(filename, use_iterators = True)
ws = data.get_sheet_by_name(name = '17270115')
#copying data from excel to data excel
n=16
for row in sheet.iter_rows():
for cell in row:
for rows in ws.iter_rows():
for cells in row:
n+=1
if (n>=17) and (n<=32):
cell.internal_value = cells.internal_value
#adding column between time in UTC and the data
column_index = 1
new_cells = {}
sheet.column_dimensions = {}
for coordinate, cell in sheet._cells.iteritems():
column_letter, row = coordinate_from_string(coordinate)
column = column_index_from_string(column_letter)
# shifting columns
if column >= column_index:
column += 1
column_letter = get_column_letter(column)
coordinate = '%s%s' % (column_letter, row)
# it's important to create new Cell object
new_cells[coordinate] = Cell(sheet, column_letter, row, cell.value)
sheet.cells = new_cells
#setting columns to be hidden
for coordinate, cell in sheet._cells.iteritems():
column_letter, row = coordinate_from_string(coordinate)
column = column_index_from_string(column_letter)
if (column<=3) and (column>=18):
column.set_column(column, options={'hidden': True})
A lot of my code is messy I know since I just started Python two or three weeks ago. I also have a few outstanding issues which I can deal with later on.
It doesn't seem like a lot of people are using openpyxl for my purposes.
I tried using the normal Workbook module but that didn't seem to work because you can't iterate in the cell items. (which is required for me to copy and paste relevant data from one excel file to another)
UPDATE: I realised that openpyxl can only create workbooks but can't edit current ones. So I have decided to change tunes and edit the new workbook after I have transferred data into there. I have resulted to using back to Workbook to transfer data:
from openpyxl import Workbook
from openpyxl import worksheet
from openpyxl import load_workbook
import os
from openpyxl.cell import get_column_letter, Cell, column_index_from_string, coordinate_from_string
dump = "c:/users/y.lai/desktop/data/201501.xlsx"
desktop = "c:/users/y.lai/desktop/"
excel = Workbook()
sheet = excel.add_sheet
try:
query = raw_input('How many rows of data is there?\n')
except ValueError:
print 'Not a number'
#sheetname = raw_input('What is the name of the worksheet in the data?\n')
for filename in os.listdir(desktop):
if filename.endswith(".xlsx"):
print filename
data = load_workbook(filename, use_iterators = True)
ws = data.get_sheet_by_name(name = '17270115')
#copying data from excel to data excel
n=16
q=0
for x in range(6,int(query)):
for s in range(65,90):
for cell in Cell(sheet,chr(s),x):
for rows in ws.iter_rows():
for cells in rows:
q+=1
if q>=5:
n+=1
if (n>=17) and (n<=32):
cell.value = cells.internal_value
But this doesn't seem to work still
Traceback (most recent call last):
File "xxx\Desktop\xlspostprocessing.py", line 40, in <module>
for cell in Cell(sheet,chr(s),x):
File "xxx\AppData\Local\Continuum\Anaconda\lib\site-packages\openpyxl\cell.py", line 181, in __init__
self._shared_date = SharedDate(base_date=worksheet.parent.excel_base_date)
AttributeError: 'function' object has no attribute 'parent'
Went through the API but..I'm overwhelmed by the coding in there so I couldn't make much sense of the API. To me it looks like I have used the Cell module wrongly. I read the definition of the Cell and its attributes, thus having the chr(s) to give the 26 alphabets A-Z.
You can iterate using the standard Workbook mode. use_iterators=True has been renamed read_only=True to emphasise what this mode is used for (on demand reading of parts).
Your code as it stands cannot work with this method as the workbook is read-only and cell.internal_value is always a read only property.
However, it looks like you're not getting that far because there is a problem with your Excel files. You might want to submit a bug with one of the files. Also the mailing list might be a better place for discussion.
You could try using xlrd and xlwt instead of pyopenxl but you might find exactly what you are looking to do already available in xlutil - all are from python-excel.
I am attempting to compress some code I previous wrote in python. I have some drawn out code that loops through a number of lookup tables in an excel workbook. There are about 20 sheets that contain lookup tables in the workbook. I want to loop through the values in each lookup table and add them to their own list. My existing code looks like this:
test1TableList = []
for row in arcpy.SearchCursor(r"Z:\Excel\LOOKUP_TABLES.xlsx\LookupTable1$"):
test1TableList.append(row.Code)
test2TableList = []
for row in arcpy.SearchCursor(r"Z:\Excel\LOOKUP_TABLES.xlsx\LookupTable1$"):
test2TableList.append(row.Code)
test3TableList = []
for row in arcpy.SearchCursor(r"Z:\Excel\LOOKUP_TABLES.xlsx\LookupTable1$"):
test3TableList.append(row.Code)
test4TableList = []
for row in arcpy.SearchCursor(r"Z:\Excel\LOOKUP_TABLES.xlsx\LookupTable1$"):
test4TableList.append(row.Code)
test5TableList = []
for row in arcpy.SearchCursor(r"Z:\Excel\LOOKUP_TABLES.xlsx\LookupTable1$"):
test5TableList.append(row.Code)
yadda yadda
I want to compress that code (maybe in a function).
Issues to resolve:
Sheet names are all different. I need to loop through each sheet in the excel workbook in order to a) grab the sheet object and b) use the sheet name as part of the python list variable name
I want each list to remain in memory for use further along the code
I've been trying something like this, which work but the python list variables don't seem to stay in memory:
import arcpy, openpyxl
from openpyxl import load_workbook, Workbook
wb = load_workbook(r"Z:\Excel\LOOKUP_TABLES.xlsx")
for i in wb.worksheets:
filepath = r"Z:\Excel\LOOKUP_TABLES.xlsx" + "\\" + i.title + "$"
varList = []
with arcpy.da.SearchCursor(filepath, '*') as cursor:
for row in cursor:
varList.append(row[0])
# This is the area I am struggling with. I can't seem to find a way to return
# each list into memory. I've tried the following code to dynamically create
# variable names from the name of the sheet so that each list has it's own
# variable. After the code has run, I'd just like to set a print statement
# (i.e. print variablename1) which will return the list contained in the variable
newList = str(i.title) + "List"
newList2 = list(varList)
print newList + " = " + str(newList2)
I've been working on this for a while and I have no doubt, at this point, i am over thinking my solution but I'm at a block. Any recommendations are welcome!
Not sure if it is the best for you, but you could use pandas to import your sheets into a dataframes.
from pandas.io.excel import ExcelFile
filename = 'linreg.xlsx'
xl = ExcelFile(filename)
for sheet in xl.sheet_names:
df = xl.parse(sheet)
print df
Instead of having breeding lists, use a dictionary for collecting the data per-sheet:
import arcpy
from openpyxl import load_workbook
wb = load_workbook(r"Z:\Excel\LOOKUP_TABLES.xlsx")
sheets = {}
for i in wb.worksheets:
filepath = r"Z:\Excel\LOOKUP_TABLES.xlsx" + "\\" + i.title + "$"
with arcpy.da.SearchCursor(filepath, '*') as cursor:
sheets[i.title] = [row[0] for row in cursor]
print sheets