Iterate through each row in an account-number-column and use those to read other excel files

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I need to perform some data analysis on some excel files (that are saved as account numbers of respective customers). I also have a master sheet with all the account numbers in a column. I need to iterate over the "Account Number" column in MasterSheet.xlsx and read the respective account's excel file (for eg: for account number 123, there is a "123.xlsx", that is located in the same directory as Master Sheet). Then I need to assign the corresponding account number as their variable name.

For a rough understanding of what I want to do, please refer to the code below. I'd prefer to use pandas or openpyxl.

master = pd.read_excel("MasterSheet.xlsx")

for account in master.iterrows():
    filename= str(account)+'.xlsx'
    account= pd.read_excel(filename)

You can see, I have tried to create a filename from each account number read via for loop. And then assign the account number as the variable name for each account's dataframe.

I know this is a very badly framed question but I tried and couldn't frame it any better. I have just started using python. If you need any further information, please ask.

I also have a master sheet with all the account numbers in a column. I need python to iterate over "Account Number" column in "MasterSheet.xlsx" and read the respective account's excel file (for eg: for account number 123, i have a "123.xlsx", that is in the same location as Master Sheet) and then assign that account number as their variable name.

Since your account_number is saved in the df['Account Number'] column and the files are named as account_number.xlsx, you can just do the following:

import pandas as pd

master = pd.read_excel("MasterSheet.xlsx")

for account in master["Account Number"]:
    filename = str(account) + ".xlsx"
    account = pd.read_excel(filename)

Loop through a list of data on a worksheet by using macros, Discusses how to write VBA macro code to go through a list of data on a worksheet in How to loop through a list of data on a worksheet by using macros in Excel. 05/21/2020; 3 minutes to read A list that contains a known, constant number of rows. For example, if every other cell in column A is empty (for example, this� Make sure that the empty cells are a consistent distance apart. For example, if every other cell in column A is empty (for example, this situation may occur if every 'record' uses two rows, with the second row indented one cell), this loop can be modified as follows: ' Set Do loop to stop when two consecutive empty cells are reached.

import pandas as pd

#Read Master file
master = pd.read_excel("MasterSheet.xlsx")

#Make a dictionary - 
#   - Keys will be the each account number
#   - Values will be each dataframe which are account number xlsx files

dictionary1 = {}
for index, row in master.iterrows():
    dictionary1[row['AccountNumber']] = pd.read_excel(str(row['AccountNumber']) + '.xlsx')

#Iterate each dataframe via this code

Want to loop through Excel Online Table Rows, usin, So I have a Table in an Online Excel file, with a single column, called "Column1" - what I want to do: - for each row in the table - read. Want to loop through Excel Online Table Rows, using values in certain column as input for I suppose that you want to read the value in Column1 of each row, is it true? We can then use Apply to each to process each Excel row downloaded above. In this case, I’m just incrementing the row counter value, for this demo. In your flow, this is where you should be writing the logic for processing each Excel rows. One final part. We’ll increment the counter variable, skipCount, value by 5000. So, as to download the

One way to do this:

import pandas as pd

master = pd.read_excel("MasterSheet.xlsx")

master['Account File'] = master['Account Number'].apply(lambda x: pd.read_excel(str(x)+'.xlsx'))

Now all your account numbers, account files and other data are in the same data-structure for easy re-use.

Let me know if this helps!

How to loop through rows and columns in an excel and pass them to , Hi, I need to capture data from each row and each column and pass them to a Use 'Excel Application Scope' activity and Add 'Read Range' activity inside the Your For Each Loop should iterate for each of the row within the excel file and its not validating the live attachment as i get more invoices from other accounts. Now use a ‘For Each Row’ activity after the ‘Excel Application Scope’ activity. Add ‘Assign’ activity inside the for each loop and create string variables named ‘strUserName’. Assign should be like this “strUserName = row.item(0).ToString” Add another ‘Assign’ activity next to the first assign activity.

For excel file test.xlsx:

0   test1
1   test2

Loop over account column and load new file into new df2:

import pandas as pd

df = pd.read_excel("test.xlsx")
for index, row in df.iterrows():
    df2 = pd.read_excel(row['account'] + '.xlsx')


0     1
1     2

0     3
1     4

Tutorial: Iterating through Rows in a Table, xlsx that is known in your automation as UID. Step 3: Iterate through the rows in the Excel file. Click Add activity plus_icon inside Use Excel File,� Sub File_Loop_Example() 'Excel VBA code to loop through files in a folder with Excel VBA Dim MyFolder As String, MyFile As String 'Opens a file dialog box for user to select a folder With Application.FileDialog(msoFileDialogFolderPicker) .AllowMultiSelect = False.Show MyFolder = .SelectedItems(1) Err.Clear End With 'stops screen updating

VBA For Loop - A Complete Guide, Use the quick guide table to see real world examples of For and For Each. 8 How to Loop Through a Range; 9 Summary of the VBA For Loops Change the number of fruit items and you will see that the code still works fine. However if you want to read the sheets in any other order e.g. right to left then you have to use� UiPath.Core.Activities.ForEachRow Executes an action once for each row in a specified DataTable variable. Properties Input DataTable - The DataTable variable for which an action is to be executed once for each row. Misc Private - If selected, the values of variables and arguments are no longer log

Pandas is one of those packages and makes importing and analyzing data much easier. Let’s see the Different ways to iterate over rows in Pandas Dataframe: Method #1 : Using index attribute of the Dataframe .

My Excel file is not in tabular data. I am trying to read from an excel file. I have sections within my excel file that are tabular. I need to loop through rows 3 to 20 which are tabular and read the data. Here is party of my code:

  • store the filename rather than reading it dynamically.
  • Here, df2 will be replaced every single time.