For identifying NaN values use boolean indexing: Then for removing all non-numeric values use to_numeric with parameter errors=’coerce’ – to replace non-numeric values to NaNs: And for remove all rows with NaNs in column x use dropna: Last convert values to ints:
Iam getting an IndexError: arrays used as indices must be of integer (or boolean) type at the line for pcolormesh, any idea how to handle this. script: The error:
I’m trying to loop over elements of an input string, and get them from a dictionary. What am I doing wrong?
When I declare a char * to a fixed string and reuse the pointer to point to another string I tried to recast the pointer but no success.
The error is not refering to myfunction but to start. Run code snippetExpand snippet I use the opportunity of this question to advise you about an known anti pattern using await which is : return await. WRONG Run code snippetExpand snippet CORRECT Run code snippetExpand snippet Also, know that there is a special case where return await is correct and important : (using … Read more
You can convert a character vector to numeric values by going via factor. Then each unique value gets a unique integer code. In this example, there’s four values so the numbers are 1 to 4, in alphabetical order, I think: You can then run prcomp: Whether this makes sense for your application is up to you. Maybe … Read more
To use np.concatenate, we need to extend the second array to 2D and then concatenate along axis=1 – Alternatively, we can use np.column_stack that takes care of it – Sample run – If b is such that its a 1D array of dtype=object with a shape of (1,), most probably all of the data is contained in the only element in it, we need to flatten it out before concatenating. For … Read more
I have installed python 3.3.2 and pygame 1.9.2a0. Whenever I try to import pygame by typing: import pygame I get following error message : I went through some of the questions related to this error but none of the solution helped. I have 64 bit machine with Win7 OS
The problem is that you are not tracking the files locally but identical files are tracked remotely so in order to “pull” your system would be forced to overwrite the local files which are not version controlled. Try running This will track all files, remove all of your local changes to those files, and then … Read more
Here’s a small example to demonstrate this (which only applied to DataFrames, not Series, until Pandas 0.19 where it applies to both): One solution is to sort the index first (Note: some functions require sorted indexes): Note: == is also sensitive to the order of columns, so you may have to use sort_index(axis=1): Note: This can still raise (if the index/columns aren’t … Read more