GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Have a question about this project?
Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. I have got some code which outputs a 3x3 array from the cv2. Rodrigues function. I then call np. However it outputs "IndexError: index 2 is out of bounds for axis 1 with size 1". When I make a new Python script, and type the array out as i.
It sounds like you don't actually have something that numpy considers a 3x3 array -- it would help to paste what your array looks like. Thanks for your reply. My array looks like the following in the Python Command Window as I print arr before calling np. Can you paste the following lines into the Python Command Window one at a time, hit enter after each, and then paste the entire output you see?
OpenCV is notoriously famous for adding size 1 dimensions in weird places. My bet is arr. So I've turned off the Raspberry Pi, opened the script again and have executed the same code.
It appears as though the array shape was in fact 3,1,3 and not 3,3. We use optional third-party analytics cookies to understand how you use GitHub. Learn more. You can always update your selection by clicking Cookie Preferences at the bottom of the page.
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Even when I use the same code as in the official examples nothing happens. Very strange. Numpy is working, since I'm using a 2-d array with its help.
I can't figure out the problem. So, the delete command should be after the three if-statements. Note that delete does not work in-place, so a is unmodified. If you want to keep working on a do :. Learn more. Numpy's delete not working Ask Question.
Asked 8 years ago. Active 5 years, 1 month ago. Viewed 5k times. I'm running python 2. Deleet Deleet 11 1 1 silver badge 3 3 bronze badges. Instead of posting the whole code which by the way has no delete statement I know it doesn't. I removed them since they did nothing. I already told people what I tried. I used code from official examples, and it doesn't work. I don't need so much help figuring out how to code it. I need help figuring out why delete command doesn't work.
That's why we're asking you to show us exactly what you did. You may have overlooked something. Remember as well to post the version of numpy you're actually using. Newest one, that's the default if nothing else is stated IMO.
But it seems like Nicolas Barbey figured out what I was doing wrong. Glad you were able to solve your problem, but 1 your comments will last: 'newest one' will have a different meaning when the next version of numpy will be released, so use absolute version number instead; 2 the "i did that but it didn't work" doesn't tell us why it didn't work in your case, or if it actually worked but not as you expected it.
Active Oldest Votes. Nicolas Barbey Nicolas Barbey 5, 2 2 gold badges 21 21 silver badges 31 31 bronze badges. Like I said, the delete command does not work at all.Due to high volumes, response times in the community may be delayed over the next few days.
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Sorry this didn't help. Thanks for your feedback. October 6, Due to high volumes, response times in the community may be delayed over the next few days. My laptop keyboard's delete key is not working, everything else is fine. Also on Onscreen Keyboard it IS working, only the physical keyboard is not.
Windows 10 BTW. This thread is locked. You can follow the question or vote as helpful, but you cannot reply to this thread. I have the same question Zackary Vanosdol Independent Advisor.
Hello Jeff. Have you plugged in an external keyboard to see if it works? Your keyboard might just not work on that laptop. Thanks for marking this as the answer. How satisfied are you with this reply?
Thanks for your feedback, it helps us improve the site. How satisfied are you with this response? Hi Jeff. This could have been caused by Windows Update. What also might work is to go into Device Manager, reached by right clicking the Start button, choose the Keyboard device, on Driver tab try Updating the driver automatically. If this fails from the same location try rolling back or Uninstalling the Keyboard driver, which works in a surprising number of cases where keyboard is messed up by Updates.
Restart PC to reinstall driver. If not you can contact a laptop manufacturer to see if you can still get it replaced under warranty, or check for replacement keyboards for that model from the PC maker or online from after-market OEM's that exactly match it.
Start with Step 4 to turn off Startup freeloaders which can conflict and cause issues, then Step 7 to check for infection the most thorough way, then step 10 to check for damaged System Files. Then continue with the other steps to go over your install most thoroughly. But remember that Factory or Upgrade installs are inferior installs which most enthusiasts won't even run because they'd expect endless issues.Using the NumPy function np. Specify the axis dimension and position row number, column number, etc.
It is also possible to select multiple rows and columns using a slice or a list. If you want to delete elements, rows and columns according to the condition instead of specifying the position, refer to the following post.
Details will be described later. The original ndarray is not changed, and a new copy of ndarray is returned. Specify the index row number or column number to be deleted in the second parameter obj. Index starts at 0. Specify the axis dimension to be deleted in the third parameter axis. Axis number starts from 0.
Navigating The Hell of NaNs in Python
The default for axis is None. Multiple rows and columns can be deleted at once by specifying a list or a slice in the second parameter obj. It is also possible to specify multiple rows and columns by using a slice specifying a range with [start:stop:step].
For more information about the basics of slicing and slice objects with slicesee the following post:. Create a slice object with slice and specify it as the second parameter obj. It is equivalent to [:stop] if there is only one argument, [start:stop] if there are two, and [start:stop:step] if there are three. If you want to omit, specify None explicitly. You can not delete multiple dimensions such as rows and columns at once with np.
If you want to delete different dimensions, repeat np. So far, for the sake of convenience, it has been described in terms of row and column, but the concept is the same in the case of three or more dimensions.
Top Python NumPy numpy. This post describes the following contents. Basic usage of np.
Related: NumPy: Extract or delete elements, rows and columns that satisfy the conditions Use reshape to change the shape. Related: NumPy: How to use reshape and the meaning of -1 Basic usage of np. Python NumPy. NumPy: Slicing ndarray numpy. DataFrame, Series and numpy.GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. In : np. But there already is a DeprecationWarning in master about that, see here.
On Thu, Jan 8, at PM, tychung84 notifications github. Sorry if I don't understand, but why doesn't np. Also, shouldn't deleting an array with itself always result in nothing or an empty array? The first argument would create an array from the arange constructor, but the second argument is the array corresponding to the indices.
Above the elements corresponding to the indices in the second argument, i. So a to a, all are removed. We use optional third-party analytics cookies to understand how you use GitHub. Learn more. You can always update your selection by clicking Cookie Preferences at the bottom of the page. For more information, see our Privacy Statement.
We use essential cookies to perform essential website functions, e. We use analytics cookies to understand how you use our websites so we can make them better, e. Skip to content.
Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Copy link Quote reply. Just noticed this: In : np. I don't disagree about that, but this is odd, no? Indexing begins at 0. So np. Cool that makes sense.A summary to understand NaNs and deal with them easily in your data.
I recently had a lot of headaches caused by NaNs. Every programmer knows what they are, and why they happen, but in my case, I did not know all of their characteristics or not well enough to prevent my struggle. In the hope of finding solutions and avoiding a bad headache, I looked further into the behaviour of NaNs values in Python. After playing with a few statements in Jupyter Notebook, my results were quite surprising and extremely confusing. Here is what I had using np.
So far so good, okay but …. And …. So what the hell is going on with NaNs in Python? NaN can be seen like some sort of data virus that infects all operations it touches. None and NaN sound similar, look similar but are actually quite different.
The None keyword is used to define a null value, or no value at all. None is not the same as 0, False, or an empty string. It is a datatype of its own NoneType and only None can be … None. While missing values are NaN in numerical arrays, they are None in object arrays. At first, reading that np. It looks weird, sounds really weird but if you give it a little bit of thought, the logic starts to appear and even starts to make some sense.
Even though we do not know what every NaN is, not every NaN is the same. They are completely unknown people to us. Unknown people can be seen as all the same to us, meaning that we describe them all as unknown.
However, in reality, it does not mean that one unknown person is equal to another unknown person.Tag: pythonnumpy. I get. Don't call np. It would be quicker to use boolean indexing:. Removing items from a list or array while looping over the same list is a classic pitfall.
The problem is cause by the fact that removing items from the list changes the meaning of ordinal indexing so that if you use ordinal indexing to remove other items, you may end up removing the wrong items, or get IndexError if you try to index beyond the valid range for the modified list. But there's no way to prevent someone else to re-declare such a variable -- thus ignoring conventions -- when importing a module.Force Delete a File That Cannot Be Deleted Windows 10
One option to approach it is to automate a browser via selenium, e. It would be quicker to use boolean indexing: In : A[X. You need to read one bite per iteration, analyze it and then write to another file or to sys.
First off, it might not be good to just go by recall alone. I usually suggest using AUC for selecting parameters, and then finding a threshold for the operating point say a given precision level By default variables are string in Robot.
So your first two statements are assigning strings like "xx,yy" to your vars. Then "evaluate" just execute your statement as Python would do. Take this for a starter code : import numpy as np import matplotlib. Short answer: your correct doesn't work. Long answer: The binary floating-point formats in ubiquitous use in modern computers and programming languages cannot represent most numbers like 0.
Instead, when you write 0. The pipeline calls transform on the preprocessing and feature selection steps if you call pl. That means that the features selected in training will be selected from the test data the only thing that makes sense here. It is unclear what you mean by "apply" here. Nothing new will be The lines calculate You can create a set holding the different IDs and then compare the size of that set to the total number of quests.
The difference tells you how many IDs are duplicated. Same for names. ID for q in Check the code before the print line for errors.