Como comparar um float com uma string

The java.lang.Float.compare() method compares the two specified float values. The sign of the integer value returned is the same as that of the integer that would be returned by the call −

Table of Contents Show

Declaration
Return Value
Prerequisites
Use the 'or' expression
Start with a blank flow
Add a trigger to your flow
Select the spreadsheet and get all rows
Check the status column of each row
Delete matching rows from the spreadsheet
Run the flow with the 'or' expression
Use the 'and' expression
Run the flow with the 'and' expression
Use the 'empty' expression
Use the 'greater' expression
Use the 'less' expression
Combine the 'greater' and 'less' expressions in an 'and' expression
Use functions in expressions

new Float(f1).compareTo(new Float(f2))

Declaration

Following is the declaration for java.lang.Float.compare() method

public static int compare(float f1, float f2)

Parameters

f1 − This is the first float to compare.
f2 − This is the second float to compare.

Return Value

This method returns the value 0 if f1 is numerically equal to f2; a value less than 0 if f1 is numerically less than f2; and a value greater than 0 if f1 is numerically greater than f2.

Exception

Example

The following example shows the usage of java.lang.Float.compare() method.

package com.tutorialspoint; import java.lang.*; public class FloatDemo { public static void main(String[] args) { // compares the two specified float values float f1 = 22.30f; float f2 = 88.67f; int retval = Float.compare(f1, f2); if(retval > 0) { System.out.println("f1 is greater than f2"); } else if(retval < 0) { System.out.println("f1 is less than f2"); } else { System.out.println("f1 is equal to f2"); } } }

Let us compile and run the above program, this will produce the following result −

f1 is less than f2

java_lang_float.htm

Article
05/17/2022
7 minutes to read

In this tutorial, you'll learn to use expressions and conditions to compare multiple values in Advanced mode.

When you create a cloud flow, you can use the Condition card in basic mode to quickly compare a single value with another value. However, there're times when you need to compare multiple values. For example, you might want to check the value of a few columns in a spreadsheet or database table.

You can use any combination of the following logical expressions in your conditions.

Expression	Description	Example
and	Takes two arguments and returns true if both values are true. Note: Both arguments must be Booleans.	This expression returns false: and(greater(1,10),equals(0,0))
or	Takes two arguments and returns true if either argument is true. Note: Both arguments must be Booleans.	This expression returns true: or(greater(1,10),equals(0,0))
equals	Returns true if two values are equal.	For example, if parameter1 is someValue, this expression returns true: equals(parameters('parameter1'), 'someValue')
less	Takes two arguments and returns true if the first argument is less than the second argument. Note: The supported types are integer, float, and string.	This expression returns true: less(10,100)
lessOrEquals	Takes two arguments and returns true if the first argument is less than or equal to the second argument. Note: The supported types are integer, float, and string.	This expression returns true: lessOrEquals(10,10)
greater	Takes two arguments and returns true if the first argument is greater than the second argument. Note: The supported types are integer, float, and string.	This expression returns false: greater(10,10)
greaterOrEquals	Takes two arguments and returns true if the first argument is greater than or equal to the second argument. Note: The supported types are integer, float, and string.	This expression returns false: greaterOrEquals(10,100)
empty	Returns true if the object, array, or string is empty.	This expression returns true: empty('')
not	Returns the opposite of a boolean value.	This expression returns true: not(contains('200 Success','Fail'))
if	Returns a specific value if the expression results in true or false.	This expression returns "yes": if(equals(1, 1), 'yes', 'no')

Prerequisites

Here's what you'll need to complete this walkthrough.

Access to Power Automate.
Your own spreadsheet with the tables described later in this walkthrough. Be sure to save your spreadsheet in a location such as Dropbox or Microsoft OneDrive so that Power Automate can access it.
Microsoft 365 Outlook (While we use Outlook here, you can use any supported email service in your flows.)

Use the 'or' expression

Sometimes your workflow needs to take an action if the value of an item is valueA or valueB. For example, you may be tracking the status of tasks in a spreadsheet table. Assume that the table has a column named Status and the possible values in this column are:

completed
blocked
unnecessary
not started

Here's an example of what the spreadsheet might look like:

Given the preceding spreadsheet, you want to use Power Automate to remove all rows with a Status column that's set to completed or unnecessary.

Let's create the flow.

Start with a blank flow

Sign into Power Automate.
On the left pane, select My flows.
Select New flow > Scheduled cloud flow.

Add a trigger to your flow

Give your flow a name.
Set the schedule to run the flow once daily.
Select the Create button to go to the next step.

Select the spreadsheet and get all rows

Select New step.
Search for rows, and then select Excel Online (Business).

Note

Select the "get a row" action that corresponds to the spreadsheet that you're using. For example, if you're using Google Sheets, select Google Sheets - Get rows.
Select the List rows present in a table action.
Select the Location, Document Library, File, and Table that contain your data.

Check the status column of each row

Select New step.
Search for apply to each, and then select the Apply to each - Control.
Add the value token to the Select an output from previous steps box.

This value token represents the spreadsheet table and all of its data.
Select Add an action on the Apply to each card.
Search for condition, and then select the Condition control.
Add the following Or expression. This Or expression checks the value of each row in the table. If the value of the Status column is completed Or unnecessary, the Or expression evaluates to "true".

Here's an example of a Condition card.

Delete matching rows from the spreadsheet

Select Add an action on the If yes branch of the condition.

The If yes branch runs if the Or condition evaluates to true.
Search for Delete a row, select Excel Online (Business), and then select Delete a row.
On the Delete a row card, set the Location, Document Library, File, and Table boxes exactly as you set these boxes on the List rows present in a table card earlier in this tutorial.
In the Key Column dropdown list, select _PowerAppsId_.
In the Key Value field, insert the _PowerAppsId_ dynamic value.
Save your flow.

Run the flow with the 'or' expression

The flow runs after you save it. If you created the spreadsheet shown earlier in this tutorial, here's what it looks like after the run completes.

Notice all data from rows that had completed or unnecessary in the Status column were deleted.

Use the 'and' expression

Assume you have a spreadsheet table with two columns. The column names are Status and Assigned. Assume also that you want to delete all rows if the Status column's value is blocked and the Assigned column's value is John Wonder. To accomplish this task, follow all steps earlier in this tutorial, but when you edit the Condition card in advanced mode, use the and expression shown here.

@and(equals(item()?['Status'], 'blocked'), equals(item()?['Assigned'], 'John Wonder'))

Here's an example of a Condition card.

Run the flow with the 'and' expression

If you've followed the steps in this tutorial, your spreadsheet should look similar to the following screenshot.

After your flow runs, your spreadsheet should look similar to the following screenshot.

Use the 'empty' expression

Notice that there are several empty rows in the spreadsheet now. To remove them, use the empty expression to identify all rows that don't have text in the Assigned and Status columns.

To accomplish this task, follow all steps listed in the Use the 'and' expression section earlier in this tutorial. When you edit the Condition card in advanced mode, use the following empty expression.

@and(empty(item()?['Status']), empty(item()?['Assigned']))

Your Condition card should look similar to the following screenshot.

After your flow runs, the spreadsheet should look similar to the following screenshot.

Notice extra lines are removed from the table.

Use the 'greater' expression

Imagine you've bought baseball tickets for your coworkers and you're using a spreadsheet to ensure you're reimbursed by each person. You can quickly create a cloud flow that sends a daily email to each person who hasn't paid the full amount.

Use the greater expression to identify the employees who haven't paid the full amount. You can then automatically send a reminder email to those who haven't paid in full.

Here's a view of the spreadsheet.

Here's the implementation of the greater expression that identifies all persons who have paid less than the amount due from them.

@greater(item()?['Due'], item()?['Paid'])

Use the 'less' expression

Imagine you've bought baseball tickets for your coworkers, and you're using a spreadsheet to ensure you're reimbursed by each person by the date to which everyone agreed. You can create a cloud flow that sends a reminder email to each person who hasn't paid the full amount if the current date is less than one day before the due date.

Use the and expression with the less expression since there are two conditions being validated.

Condition to validate	Expression to use	Example
Has the full amount due been paid?	greater	@greater(item()?['Due'], item()?['Paid'])
Is the due date less than one day away?	less	@less(item()?['DueDate'], addDays(utcNow(),1))

Combine the 'greater' and 'less' expressions in an 'and' expression

Use the greater expression to identify the employees who have paid less than the full amount due and use the less expression to determine if the payment due date is less than one day away from the current date. You can then use the Send an email action to send reminder emails to those employees who haven't paid in full and the due date is less than one day away.

Here's a view of the spreadsheet table.

Here's the implementation of the and expression that identifies all employees who have paid less than the amount due from them and the due date is less than one day away from the current date.

@and(greater(item()?['Due'], item()?['Paid']), less(item()?['dueDate'], addDays(utcNow(),1)))

Use functions in expressions

Some expressions get their values from runtime actions that might not yet exist when a cloud flow starts to run. To reference or work with these values in expressions, you can use functions that the Workflow Definition Language provides. More information. To learn more, go to Reference guide to workflow expression functions in Azure Logic Apps and Power Automate.