I've displayed my XY data on my basemap, but when I right-click the layer and select "data" it says "export table" instead of "export data" so I can't choose the feature class shapefile. My data are in a CSV format, my headers are within the 1-10 limit, the data are formatted as text, and tried uploading this thing a whole bunch of different ways and it still thinks its a table. What am I missing?
The data looks like this:
*Group.1 (2005 -> 2020), Group.2 (1 -> 47)
Group.1 Group.2 latitude longitude
1 2005 1 25.66644 -80.26327
2 2006 1 25.68155 -80.25509
3 2007 1 25.62914 -80.28869
4 2008 1 25.62917 -80.28873
5 2009 1 25.62925 -80.28862
6 2010 1 25.62921 -80.28866
Turns out I was using the wrong export option. All you have to do is right-click your displayed XY data > scroll to data > Export Features (not export table). Change the output location from your geodatabase to another folder of your choosing, change the Output name and ArcGIS Pro will autofill ".shp" at the end - click "OK" at the bottom right and POOF! Shapefile saved.
This video helped me get there:
https://www.youtube.com/watch?v=8vxfBK_afMw
Related
I am trying to do what the title says and also do it for new records. I cannot link the CSV file because it exceeds the 255 limit. So i am attempting to split up the table.
I have the below table in access
DateOfTest
Time
PromptTime
TestSequence
PATResults
Logs
Serial Number
1
2
3
4
5
6
7
Obviously, where the numbers are i want the data from the CSV to be inserted.
I have created a form including a button so i can run some VBA, but i cannot find the correct information online for my work, as i am new to VBA it is also a bit confusing.
I have attempted some random code, but i was just spraying and praying at that point
I am not sure I understood your question. In the impoer tool you can choose columns, but if you want to do it with a script, I would suggest to perform pre-processing phase with simple python and pandas to read the csv file, remove any unwanted columns and save to another CSV to be uploaded directly to excel.
something like this
import pandas as pd
df = pd.read_csv ('csvfile.csv')
df.drop('column_name', inplace=True, axis=1)
df.to_excel ('filename.xlsx', index = False, header=True)
I'm pasting Tab Delimited data from Notepad++ to excel (about 50k rows and 3 columns). No matter how many different ways I try it, Excel wants to convert a cell containing one " to the next instance of " into one cell content.
For Example, if my data looked like this:
"Apple 1.0 Store
Banana 1.3 Store
"Cherry" 2.5 Garden
Watermelon 4.0 Field
The excel file looks like this:
Apple1.0StoreBanana1.3Store
Cherry 2.5GardenWatermelon4.0Field
One way to get around this is to open the file as a CSV in excel, however this leads to Excel formatting the number values to simplified ones using Excel's "General" format. So the data would look like the following:
"Apple 1 Store
Banana 1.3 Store
"Cherry" 2.5 Garden
Watermelon 4 Field
The data I'm getting is coming from SQL Server Studio so my options for file formats are:
.CSV
.Txt (Tab-delimited)
Copy Pasting from Query results
The solution I'm looking for is to have the data represented in Excel with no excel processing taking place on the quotations, numbers or any other cell contents.
Don't open the file directly in excel. Instead import it and control the data types and file layout.
Open a new excel document:
Select Data menu:
Select From Text in get External Data section.
Select file to import
On step 1 of import wizard select delimited
Click next
Select tab checkbox and change text qualifier to {none}.
Click next
Set column data types to general, text, text
Click finish.
Excel auto imports the data the best it can when you open directly in excel. You lose flexibility/control when this happens. better to import and control yourself to get the fine adjustments you're looking for.
You end up with something like this:
By treating the numbers like text, the zero's don't get messed up.
By setting the text qualifier to none, the quotes don't get messed up.
Have you tried opening it via Text Import?
Got to Data tab > From Text (third form left on default)
You will have window similar to Text To Columns.
Select correct delimiter, remember to remove the quote sign from TExt Qualifier and mark all columns as text to avoid Excel autoformatting.
Step 1:
Step 2:
Step 3:
EXCEL TIP: TIME SAVING IN IMPORTING CSV FILES INTO EXCEL: If u pre-set your Text-To-Columns delimiter parameters correctly in EXCEL (eg specify tabs as the delimiter) and then copy and paste the CSV data, Excel will import the CSV paste directly into the correct columns without u having to going through the Text-To-Columns rigmarole. This was particularly time saving when i had to import hundreds of bank statements into Excel.
However if your Text-To-Columns delimiters are pre-specified incorrectly as e.g. comma and you are importing tab delimited files then excel will dump all the data into one column, and u will have to go through the time consuming process of converting Text-To-Columns for each statement.
EXCEL LOOKS TO THE EXISTING Text-To-Columns delimiters TO SEE IF IT CAN USE THOSE TO MAKE YOUR LIFE EASIER WHEN PASTING DATA
Hope that tip helps (It saved me several hours)
I'm trying read the data from 2 csv files and export into the new excel file, but I'm not able to export the data in excel destination. While doing the mapping of the columns, there are 4 columns in the input columns but it is showing only 1 column in available output column that is only F1. Please let me know how to resolve this issue.
If I understand the question correctly, you are unable to map columns to a ‘new’ XL file.
If this is the case, the metadata for the mappings is probably the issue.
Try first creating a new xl file with the column headings and column types you want, then map to this.
Alternativly, right click on the excel destination and use the ‘Show Advanced Editor’ option and then adjust the columns in the ‘External Colums’ of ‘Input and Output settings tab.
You may then need to set the ValidateExternalMetadata option to false for the excel destination component in order to allow creation of new files from scratch.
Open an excel sheet and on the 1st row, give the column headings. Column A, B, C and D should have the same names as your source columns. After doing so, save the excel file and close the work book. Go to SSIS and open the Excel destination mappings. You should be able to map them now.
Does any one have a tutorial on how to import a fixed width flat file into a database using an SSIS package?
I have a flat file containing columns with varying lengths.
Column name Width
----------- -----
First name 25
Last name 25
Id 9
Date 8
How do I convert a flat file into columns?
Here is a sample package created using SSIS 2008 R2 that explains how to import a flat file into a database table.
Create a fixed-width flat file named Fixed_Width_File.txt with data as shown in the screenshot. The screenshot uses Notepad++ to display the file contents. It has the capability to show the special characters like carriage return and line feed. CR LF denotes the row delimiters Carriage return and Line feed.
In the SQL server database, create a table named dbo.FlatFile using the create script provided under SQL Scripts section.
Create a new SSIS package and add a new OLE DB Connection manager that would connect to the SQL Server database. Let's assume that the OLE DB Connection manager is named as SQLServer.
On the package's control flow tab, place a Data Flow Task.
Double-click on the data flow task and you will be taken to the data flow tab. On the data flow tab, place a Flat File Source. Double-click on the flat file source and the Flat File Source Editor will appear. Click the New button to open the Flat File Connection Manager Editor.
On the General section of the Flat File Source Editor, enter a value in Connection manager name (say Source) and browse to the flat file location and select the file. This example uses the sample file in the path C:\temp\Fixed_Width_File.txt If you have header rows in your file, you can enter a value 1 in the Header rows to skip textbox to skip the header row.
Click on the Columns section. Change the font according to your choice I chose Courier New so I could see more data with less scrolling. Enter the value 69 in the Row width text box. This value is the sum of width of all your columns + 2 for the row delimiter. Once you have set the correct row width, you should see the fixed width file data correctly on the Source data columns section. Now, you have to click at the appropriate locations to determine the column limits. Note the sections 4, 5, 6 and in the below screenshot.
Click on the Advanced section. You will notice 5 columns created for you automatically based on the column limits that we set on the Columns section in the previous step. The fifth column is for row delimiter.
Rename the column names as FirstName, LastName, Id, Date and RowDelimiter
By default, the columns will be set with DataType string [DT_STR]. If we are fairly certain, that a certain column will be of different data type, we can configure it in the Advanced section. We will change Id column to be of data type four-byte signed integer [DT_I4] and Date column to be of data type date [DT_DATE]
Click on the Preview section. The data will be shown as per the column configuration.
Click OK on the Flat file connection manager editor and the flat file connection will be assigned to the Flat File Source in the data flow task.
On the Flat File Source Editor, click on the Columns section. You will notice the columns that were configured in the flat file connection manager. Uncheck the RowDelimiter because we won't need that.
On the data flow task, place an OLE DB Destination. Connect the output from the Flat file source to the OLE DB Destination.
On the OLE DB Destination Editor, select the OLE DB Connection manager named SQLServer and set the Name of the table or the view drop down to [dbo].[FlatFile]
On the OLE DB Destination Editor, click on the Mappings section. Since the column names in the flat file connection manager are same as the columns in the database, the mapping will take place automatically. If the names are different, you have to manually map the columns. Click OK.
Now the package is ready. Execute the package to load the fixed-width flat file data into the database.
If you query the table dbo.FlatFile in the database, you will notice the flat file data imported into the database.
This sample should give you an idea about how to import fixed-width flat file into database. It doesn't explain how to handle error logging but this should get you started and help you discover other SSIS related features when you play with packages.
Hope that helps.
SQL Scripts:
CREATE TABLE [dbo].[FlatFile](
[Id] [int] NOT NULL,
[FirstName] [varchar](25) NOT NULL,
[LastName] [varchar](25) NOT NULL,
[Date] [datetime] NOT NULL
)
In the derived column transformation you can use SUBSTRING() function for each of the column.
Example:
Columns DerivedColumn
FirstName SUBSTRING(Data, startFrom, Length);
Here the FirstName has width 25 so if we consider that from the 0th position then in the derived column you should specify it by giving SUBSTRING(Data, 0, 25);
Similarly for other columns.
Very well explained, Siva! Your tutorial and excellent illustrations point out what Microsoft should have made clear
that the width for a fixed length row has to include the Carriage Return and Line Feed (CR & LF) characters (which I figured out because the preview showed the rows were not lining up correctly)
the all important step of defining an extra column to contain those CR & LF characters, even though they won't be imported. I figured this out, too. I would have benefited by finding your answer before I began.
Without those two things, an attempt to run the import will give this error message:
The data conversion for column "Column x" returned status value 4 and status text "Text was truncated or one or more characters had no match in the target code page.".
I have added in this error text in hopes someone will find this page while searching for the cause of their error. Your turorial is worth finding, even if after the fact!
Have a program in MS-Access, using VBA. I need to come up with an If statement to pull data from a text file. The data is a list of procedures and prices. I have to pull the prices from the text file to show in a report how much each procedure costs.
ID PID M1 M2 M3 Total
1 11120390(procedure)
2 180(price) 360 180 540 1080(total Price)
3 2 1 3 6(Units sold)
4
5 200(Price) 200 600 800 1600(total price)
6 1 3 4 8(Units Sold)
7 11120390(procedure)
The table in the text file is setup like this and I need to Pull the procedure number and the price of each procedure from the text file.
This is a general answer to a vaguely-presented question. You typically have to go through these steps:
Make a connection to the file
Open the file
Parse the file (as Simon was
saying): go through it as a series
of strings, find an orientation
point, get to the relevant parts
Import the relevant parts, perhaps
in a holding table
Present the data in typical Access
fashion (query, report)
And if the file isn't well structured or correctly generated, you'll need extra parsing code and perhaps error handling to deal with aberrations.