On 15-02-2019 14:48, C W wrote:
> Fair enough. Python has been called the #1 language for data science. If
> I'm slicing a[2:5] out of range, why not throw an error. This is>
> disappointing!
No one here is trying to convince you to use Python. If you don't like
it, don't use it. Complain in this
Fair enough. Python has been called the #1 language for data science. If
I'm slicing a[2:5] out of range, why not throw an error. This is
disappointing!
I mean, why would you design a language to slice outside of range? Also, no
other language I know have this strange behavior.
On Fri, Feb 15, 20
On Fri, Feb 15, 2019 at 5:12 AM Mike C wrote:
> The original data was in CSV format. I read it in using pd.read_csv(). It
> does have column names, but no row names. I don’t think numpy reads csv
> files.
>
If you read a file into a pandas structure, it will have row labels. The
default labels a
> The original data was in CSV format. I read it in using pd.read_csv(). It
> does have column names, but no row names. I don’t think numpy reads csv files
I routinely read csv files using numpy.loadtxt
https://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
> And also, when I do
The original data was in CSV format. I read it in using pd.read_csv(). It does
have column names, but no row names. I don’t think numpy reads csv files.
And also, when I do a[2:5]-b[:3], it does not throw any “index out of range”
error. I was able to catch that, but in both Matlab and R. You get
> I don’t have index when I read in the data. I just want to slice two series
> to the same length, and subtract. That’s it!
>
> I also don’t what numpy methods wrapped within methods. They work, but hard
> do understand.
>
> How would you do it? In Matlab or R, it’s very simple, one line.
Wh
