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How to change column values based on another column?
What I am trying to do is change the amount column for each ID which is not the code 101 to the value in amount from code 101 So my output should be like this. This is clearly a simplified table to show what I need as the row count today is over 100,000 but will change everyday.
I don’t know if it is possible but I have 2 columns, in a Sharepoint Library: If an user chooses “accepted” or “studied” in column 1, I want the column 2 to automatically turn on “In progress”. Is it possible to do this with a formula or a method in Sharepoint?
Is there a way to replace two columns in Excel?
You should also note that the statement data [‘column2’] = data [‘column2’].replace ( [2], [2]) achieves nothing, since 2 is being replaced with 2 and the same column is both the source and the destination. What you could use to solve this particular task is a boolean mask (or the query method).
When does pandas change value of a column based?
The column1 < 30 part is redundant, since the value of column2 is only going to change from 2 to 3 if column1 > 90. In the code that you provide, you are using pandas function replace, which operates on the entire Series, as stated in the reference: Values of the Series are replaced with other values dynamically.
How to replace characters from a column of a data frame?
And I wan to replace _ in A_C of column c for – to have a data frame like data2: Do you know how I can do that? If your variable data1$c is a factor, it’s more efficient to change the labels of the factor levels than to create a new vector of characters:
How to replace a string in a pandas column?
For anyone else arriving here from Google search on how to do a string replacement on all columns (for example, if one has multiple columns like the OP’s ‘range’ column): Pandas has a built in replace method available on a dataframe object.