What is the difference between .text, .value, and .value2?
Jun 28, 2013 · Using .Value or .Text is usually a bad idea because you may not get the real value from the cell, and they are slower than .Value2 For a more extensive discussion see my Text …
python - How to check for NaN values - Stack Overflow
NaN does not mean that a value is not a valid number. It is part of IEEE floating point representation to specify that a particular result is undefined. e.g. 0 / 0. Therefore asking if …
java - How to correctly specify a default value in the Spring …
May 26, 2017 · With #{} it is an expression, with ${} it is a placeholder for a value. The first expression you use will call a method/attribute on a bean called props, the one with the …
What does ${} (dollar sign and curly braces) mean in a string in ...
Mar 7, 2016 · You'll need to complete a few actions and gain 15 reputation points before being able to upvote. Upvoting indicates when questions and answers are useful. What's reputation …
Get Element by Id and set the value in JavaScript
But everything works fine when I do var s = document.getElementById('This-is-the-real-id'); s.value = 'New value' How can I fix this? The element for which I am setting the value is a …
Using "If cell contains #N/A" as a formula condition.
Jan 7, 2014 · I need help on my Excel sheet. How can I declare the following IF condition properly? if A1 = "n/a" then C1 = B1 else if A1 != "n/a" or has value(int) then C1 = A1*B1
Vlookup returns N/A despite of existing match - Stack Overflow
May 25, 2016 · 0 Here's an issue I encountered: my VLOOKUP formula returns the correct value (1) if I type in the value-to-look-up (1.016) directly in the formula, shown in cell F54. However, …
Representing null in JSON - Stack Overflow
What is the preferred method for returning null values in JSON? Is there a different preference for primitives? For example, if my object on the server has an Integer called …
filter - Setting default values for slicers when no option is selected ...
Feb 7, 2020 · However, for ease of use for the final user, I would like a "standard" ratio or value for each different bar chart. For example I would like for chart 1 to show revenue, chart 2 to …
How do I select rows from a DataFrame based on column values?
How can I select rows from a DataFrame based on values in some column in Pandas? In SQL, I would use: SELECT * FROM table WHERE column_name = some_value