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- What is the difference between . text, . value, and . value2?
If you are processing the cell's value then reading the raw Value2 is marginally faster than Value or Text If you are locating errors then Text will return something like #N A as text and can be compared to a string while Value and Value2 will choke comparing their returned value to a string If you have some custom cell formatting
- (Excel) Conditional Formatting based on Adjacent Cell Value
I'm trying to apply conditional formatting in Excel on a range of cells, based on the adjacent cell's value, to achieve something like this: The goal is to highlight values in Column B (Actual Expense) red if the value is greater than it's adjacent value in column C (Expected Expense)
- printing - Print variable and a string in python - Stack Overflow
I know how to print variables and strings But how can I print something like quot;My string quot; card price (it is my variable) I mean, here is my code: print quot;I have quot; (and here I wo
- Unexpected character encountered while parsing value
I have a Blazor Server application that access a WebAPI 2 0 endpoint via httpclient to get a list of inventory item id's and descriptions The application worked fine from Visual Studio accessing the published API endpoint The API worked fine from Swagger It would generate {"Unexpected character encountered while parsing value: e
- How to keep one variable constant with other one changing with row in . . .
Lets say I have one cell A1, which I want to keep constant in a calculation For example, I want to calculate a value like this: =(B1+4) (A1) How do I make it so that if I drag that cell to make a calculation across cells in many rows, only the B1 value changes, while A1 always references that cell, instead of going to A2, A3, etc ?
- How can I get a value from a cell of a dataframe? - Stack Overflow
For pandas 0 10, where iloc is unavailable, filter a DF and get the first row data for the column VALUE: df_filt = df[df['C1'] == C1val df['C2'] == C2val] result = df_filt get_value(df_filt index[0],'VALUE') If there is more than one row filtered, obtain the first row value There will be an exception if the filter results in an empty data frame
- What is the difference between int, Int16, Int32 and Int64?
It is a value type and represent System Int16 struct It is signed and takes 16 bits It has minimum -32768 and maximum +32767 value Int32 It is a FCL type In C#, int is mapped to Int32 It is a value type and represent System Int32 struct It is signed and takes 32 bits It has minimum -2147483648 and maximum +2147483647 value Int64 It is
- python - How to check if particular value (in cell) is NaN in pandas . . .
I know one way to check if a particular value is NaN: >>> df isnull() iloc[1,0] True But this checks the whole dataframe just to get one value, so I imagine it's wasteful Second option (not working) I thought below option, using iloc, would work as well, but it doesn't: >>> df iloc[1,0] == np nan False However if I check that value I get:
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