I am line plotting data in excel based on data on a column. However, the amount of data in this column may change (it's length may change) and I want the graph to update to only included values in the updated length of the column.
How can I accomplish this?
Supposing your data starts at ("A1"), you could do the following:
ActiveWorksheet.Range("A1", Range("A1").End(xldown))
You can read more about .End here
Furthermore, you can utilize .End to dynamically append new values to the existing list using .Offset(1, 0) where the first parameter = column; second = row.
For instance, say we want to add the Integer 5 to our existing list:
ActiveWorksheet.Range("A1").End(xldown).Offset(1, 0).Value = 5
Related
I am doing a simple VBA script in Microsoft Excel which iterates a list of cars and a list of information about when the cars were refueled to provide an overview of how many kilometers each car is driving each month.
I make use of the Range.End property to calculate the number of rows with data and then loop through the indicies.
Set Data = Worksheets("Tankninger") ' Danish for refuellings
NumRows = Data.Range("A1", Data.Range("A1").End(xlDown)).Rows.Count
For x = 1 To NumRows
' Process data
Next
Everything seemed to be working fine, however I found that if someone applied a filter to e.g. the sheet with refuelling data - e.g. only showing data related to car A, then NumRows would be assigned the index of the last visible row.
Example: if the refuling sheet contains 100 records and the records related car A are located on row 50-60, then NumRows would be assigned the value 60 - resulting in my script ignoring the last 40 records.
Is there a way to make the Range.End property ignore any filter applied to sheet, or will I have to change the implementation to use a while-loop instead?
I ended up replacing the for-loop with a while-loop. This allowed me to access every cell regardless of any filtering applied to the sheets.
Set Data = Worksheets("Tankninger") ' Danish for refuellings
r = 2
While Not IsEmpty(Cars.Cells(r, 1).value)
' Process data
Wend
What you can do is add the following in your code to remove filters before you find the last row with data.
'Remove all filters
Worksheets("Sheet1").Activate
On Error Resume Next
ActiveSheet.ShowAllData
I am working with some weather data that is missing some values (indicated via value code). For example, if SLP data is missing, it is assigned code 99999. I was able to use a window function to calculate a 7 day average and save it as a new column. A significantly reduced example of a single row is shown below:
SLP_ORIGIN
SLP_ORIGIN_7DAY_AVG
99999
11945.823516044207
I'm trying to write code such that when SLP_ORIGIN has the missing code it gets replaced using the SLP_ORIGIN_7DAY_AVG value. However, most code explains how to replace a column value based on a conditional with a constant value, not the column value. I tried using the following:
train_impute = train.withColumn("SLP_ORIGIN", \
when(train["SLP_ORIGIN"] == 99999, train["SLP_ORIGIN_7DAY_AVG"]).otherwise(train["SLP_ORIGIN"]))
where the dataframe is called train.
When I perform a count on the SLP_ORIGIN column using train.where("SLP_ORIGIN = 99999").count() I get the same count from before I attempted replacing the value in that column. I have already checked and my SLP_ORIGIN_7DAY_AVG does not have any values that match the missing code.
So how do I actually replace the 99999 values in the SLP_ORIGIN column with the associated SLP_ORIGIN_7DAY_AVG value?
EVEN BETTER, is there a way to do this replacement and window calculation without making a 7 day average column (I have other variables I need to do the same thing with so I'm hoping there is a more efficient way to do this).
Make sure to double check with dataframe you are verifying on.
I was using train.where("SLP_ORIGIN = 99999").count() when I should have been using train_impute.where("SLP_ORIGIN = 99999").count()
Additionally, instead of making a whole new column to store the imputed 7 day average, one can only calculate the average when the missing value code is present:
train = train.withColumn("SLP_ORIGIN", when(train["SLP_ORIGIN"] == 99999, f.avg('SLP_ORIGIN').over(w)).otherwise(train["SLP_ORIGIN"]))\
everyone...
I just started on python a couple of days ago because I require to handle some excel data in order to automatically update the data of certain cells from one file into another.
However, I'm kind of stuck since I have barely programmed before, and it's my first time using python as well, but my job required me to find a solution and I'm trying to make it work even though it's not my field of expertise.
I used the "xlrd library", imported my file and managed to print the columns I'm needing... However, I can't find a way to put those columns into a matrix in order to handle the data like this:
Matrix =[DataColumnA DataColumnG DataColumnH] in the size [nrows x 3]
As for now, I have 3 different outputs for the 3 different columns I need, but I'm trying to join them together into one big matrix.
So far my code looks like this:
import xlrd
workbook = xlrd.open_workbook("190219_serviciosWRAmanualV5.xls");
worksheet = workbook.sheet_by_name("ServiciosDWDM");
workbook2 = xlrd.open_workbook("Potencia2.xlsx");
worksheet2 = workbook2.sheet_by_name("Hoja1");
filas = worksheet.nrows
filas2 = worksheet2.nrows
columnas = worksheet.ncols
for row in range (2, filas):
Equipo_A = worksheet.cell(row,12).value
Client_A = worksheet.cell(row,13).value
Line_A = worksheet.cell(row, 14).value
print (Equipo_A, Line_A, Client_A)
So I have only gotten, as mentioned above, the data in the columns which is what I'm printing which you can see.
What I'm trying to do, or the main thing I need to do is to read the cell of the first row in Column A and look for it in the other excel file... if the names match, I would have to validate that for the same row (in file 1) the data in both the ColumnG and ColumnH is the same as the data in the second file.
If they match I would have to update Column J in the first file with the data from the second file.
My other approach is to retrieve the value of the cell in ColumnA and look for it in the column A of the second file, then I would make an if conditional to see if ColumnsG and H are equal to Column C of 2nd file and so on...
The thing here is, I have no idea how to pin point the position of the cell and extract the data to make the conditional for this second approach.
I'm not sure if by making that matrix my approach is okay or if the second way is better, so any suggestion would be absolutely appreciated.
Thank you in advance!
I am having a simple problem while reading excel data which contains strings, long string, and numbers. Now I need to make each column (I have 11 here) to define separate variables of 1 column vector so that I can plot in MATLAB against each other or combination.
But the problem is the reading the file and creating 11 column vector. When I assign variable the header also comes.
Code:
%fid = fopen('Data_Link.xlsx');
[num,txt,raw] = xlsread('Data_Link.xlsx');
%fclose(fid);
% Extract data from readData
A = raw(:,1);
B = raw(:,2);
C = raw(:,6);
So I need the variables without header
Data file is truncated and given here.
Can anyone help me?
You can use readtable as ThP suggested. But if you want to use xlsread and you want your data without the header, you just need to remove the first row as in the below example:
%fid = fopen('Data_Link.xlsx');
[num,txt,raw] = xlsread('Data_Link.xlsx');
%fclose(fid);
% Extract data from readData
A = raw(2:end,1);
B = raw(2:end,2);
C = raw(2:end,6);
Note that each array will receive data from row 2 to last row.
You can use readtable instead of xlsread.
Using
T = readtable(‘Data_Link.xlsx’)
will result in a table with a variable for each column. For example T.Year would hold the values from the ‘Year’ column and T.Title would hold the values from the ‘Title’ column, etc.
Since I solved previous problem with collecting data from database, I need to put that data on a chart now. I am working on a report generating software called ReportWorx.
Problem is, data comes in series and looks like this:
ID DATE SAMPLE
1 XX-XX-XX VALUE
1 XX-XX-XX VALUE
1 XX-XX-XX VALUE
2 XX-XX-XX VALUE
2 XX-XX-XX VALUE
3 XX-XX-XX VALUE
3 XX-XX-XX VALUE
I can not change how it looks because it is generated automatically. What I want is linear chart in which 1, 2, 3 are series name and of course next to it DATE and VALUE are put on a linear chart (or bargraph, w/e) (Date at X axis, Value at Y axis).
I can`t specify how many records will be there (how many rows) but I found few solutions about creating dynamically increasing charts, so probably it will not be a poblem. I just do not know how to separate thos ID series from each other.
EDIT:
I have found a solution in VBA according to the first answer. Here you have VBA code below:
Sub Rewrite()
Dim row, id
For row = 38 To 1000
For id = 1 To 37
If Sheet1.Cells(row, 1).Value = id Then
Sheet2.Cells(row, 1).Value = Sheet1.Cells(row, 2)
Sheet2.Cells(row, id + 1).Value = Sheet1.Cells(row, 3)
End If
Next id
Next row
End Sub
Thank You #sancho.s
I will post a solution that I use a lot for cases like yours.
With reference to the figure (where I used sample numbers), you set up 3 new columns (D:F here), the header of which contain the corresponding labels. Then you use a formula for "splitting" the list of X data (column B here) associated with each label, and assigning a "NULL" value for data not corresponding (#N/A here, but you can choose whatever you want):
=IF($A3=D$2,$B3,$B$1)
You enter this in D3. The absolute/relative indexing used allows for copy-and-paste throughout D3:F9.
Cell B1 here contains the "NULL" value.
Then you plot 3 series: column C against columns D, E, F.
PS: I guess you could split the Y data column instead, with similar results. For some reason that I do not recall, I decided a long time ago that this was the best option, at least in my case then. You may want to try out the other option.
PS2: This also works for data that is not sorted by label.
PS3: Using NA() as the "NULL" value avoids cell values being taken as zero and then showing up in the chart, as it is the case with other errors (e.g., try using =1/0 in B1). It is the best option I found so far. Alternatively (just in case you find it useful), you can use an explicit value which is outside the actual X data range, but then you would have to manually set the X axis range. All this is for a Scatter plot, just check what works for your case.