I need to read the following text in a file and store the values with field names. Its actually copied from am excel sheet:
A: B C D E (not TEXT based)
Field Description Length in bytes Count Total bytes
Identification 10 1 10
IX 4 1 4
Scan date time 8 1 8
Machine type 4 1 4
I stored it in a stringlist and I am unsure about what to do next. Can anyone please help? Thanks.
First of all, I'd save it from Excel as a .csv, open it in Notepad, and copy it from there. The lack of (unambiguous) field delimiters in your current format makes it awkward to tokenise. When saving the .csv, pick a field delimiter which doesn't appear in any of your text fields, and leave the text delimiter blank.
With that done, just split each of your strings on the delimiter character, and do what you want with the pieces. Simplest way to do it is probably to set the string as the CommaText on a second TStringList.
Related
I have data in notepad with more than 1000+ entries, which need to convert in to Excel with particular break based on length. can someone help
011000015FRB-BOS FEDERAL RESERVE BANK OF BOSTON MABOSTON Y Y20040910
File format is as below
Position Field
1-9 Routing number
1 Office code
I tried delimiting option but dint worked out.
If your data always has the routing number in columns 1-9, then delimited import is the way to go. Choose Import From Text, then select Fixed Width and click Next. On Step 2, click at each character that would be a separator. Eg, click at character 9 to split it into two columns with the first column haviong the first nine characters and the second column having the rest. Step 3 will allow you to set the data format. I'd recommend setting the first column to text so Excel doesn't try to use scientific notation or something on your account numbers.
i'm trying to import a text file of csv data into excel. The data contains mostly integers but there's one column with strings. I'm using the Data tab of excel professional plus 2019. However, when I select comma as the delimiter i loose 5 of the 16 columns, starting with the one containing strings. The data looks like the below. the date and the 7 numbers are in their own columns (just white space separated) . can anyone help or explain many thanks
2143, Wed, 6,Jul,2016, 38,20,03,39,01,24,04, 2198488, 0, Lancelot , 6
Before
after
full data is on https://github.com/CH220/textfileforexcel
Your problem stems from the very first line of data in your text file:
40,03,52,02,07,20,14, 13137760, 1, Lancelot , 7
As you can see, there are only eleven "segments". Hence, when you try to use the import dialog to separate by comma, there will only be 11 columns even though subsequent rows have 16 columns.
Possible solutions:
Correct the text file so the first line has the desired number of segments
Change the Import Dialog, as you did, to comma, then
Transform
Edit the second line of the generated M-code to change from Columns=11 to Columns=16. You do this in the Advanced Editor
Source = Csv.Document(File.Contents("C:\Users\ron\Desktop\new 2.txt"),[Delimiter=",", Columns=16, Encoding=1252]),
Change the Fixed Width "argument" from 0,23 => 0
Transform
Split Column by delimiter (using the comma) in Power Query.
To me, the "best" way would be to correct the text file.
I am new to excel vba. I want to read a textfile that contains text like this:
John Smith Engineer Chicago
Bob Alice Doctor New York
Jane Smith Teacher St. Louis
So, I want to convert this into a 2D array so if I do print(3,3), it should return 'Teacher'.
I am able to read entire file contents into one string but am having difficulty in converting it to
a 2d array like above. Please advice on how to proceed. Thanks
unless the text file has some specific structure to it, you're going to struggle a bit. Things that might make it easier are:
Does the text file contain line breaks at the end of each line?
Are all the names in [FirstName][LastName] format as per your example
or might some have more/less words?
Does the Occupation always come directly after the name?
Are there a (very) limited number of Occupations?
as mentioned by NautMeg, You have to make some assumptions on the data based on the provided template.
However we can assume that :
a space is the delimiter
The Final column is City, which can contain a space
there are 4 columns
First Name
Last Name
Profession
City/Location
Using this information:
While Not EOF(my_file)
Line Input #my_file, text_line
// text_line contains the independent line
i = i + 1
// i is the line number
Wend
is how we retrieve each line.
Split ( Expression, [Delimiter], [Limit], [Compare] )
This will give you each item in the list. For index's < 3 (0 based index), they are unique columns of data and you can handle them however you want.
For Index >=3, Join these together into 1 string .
Join( SourceArray, [Delimiter] )
You'll likely want to make the delimiter in this case a simple space, since the split function will remove the space.
That will allow you to parse the data AS is.
However, for future reference if you can control the export of the text file, you should try exporting as a CSV file.
Good luck
I have a very large text file (3.33 GB) which has 47 columns separated by delimiter ~. I just need the first and the last column to work with. The last column is a 17 digit number which may contain leading zeros. I have to store this column as a string (so as to not remove the leading zeros). An example of the first and last column is shown below:
id Number
0 0 10030040125198660
1 12345 60034046122158670
My question is whether it's possible to read just these two columns alone, and store the second column as string ? The reason I ask is because loading 3.3GB file as a dataframe takes a lot of time, converting it into string takes an even longer amount. I want to know if I can save time by choosing only the columns I need.
My code as of now (shown the column names as numbers for easy understanding):
df=pd.read_csv('myfile.txt',low_memory=False,sep='~',header=None)
df.drop(columns=[2,3,4...,46],inplace=True) #Keeping only column 1 and 47
df['47']=df['47'].astype(str)
Any help is highly appreciated!
You should use "usecols" parameter. Check out the read_csv official documentation. Infact that is the first thing you should check
I have an Excel file which I need to convert to text file. Now the thing is that for each value there is a specified field size which should be there in text file. For example:
if my Excel contains a character of size 10 with value ABCDEF, then in text file it should be as ABCDEF____ (4 spaces).
After this next value is appended in similar manner with its rest of the size is left blank.
Any kind of hint or pointer will be really helpful on how to procede with this.
Assuming your string is in A1, and its length isn't more than the 10 characters:
=A1&REPT(" ",10-LEN(A1))