• Numpy Intersection Of Multiple Arrays

    ndim attribute. permutation function to generate the index array and use it to shuffle multiple arrays. Applying a formula to 2D numpy arrays row-wise. Arrays are similar to lists in Python, except that every element of an array must be of the same type, typically a numeric type like float or int. So, how do I traverse the array quickly?. Returns a boolean array where two arrays are element-wise equal within a tolerance. Write a program that puts 5, 10, and "twenty" into a list. bincount taken from open source projects. Dec 06, 2019 · numpy. HDF5 9 Comments / Python , Scientific computing , Software development / By craig In a previous post, I described how Python's Pickle module is fast and convenient for storing all sorts of data on disk. Elements to select can be a an element only or single/multiple rows & columns or an another sub 2D array. They are where, nonzeroand count_nonzero. array), an n-dimensional array that is also present in some form in array-oriented languages such as Fortran 90, R, and MATLAB, as well as predecessors APL and J. Numerical Operations on Numpy Arrays. I do not want raise each element of the matrix to a non-integer power. So using her post as the base, this is my take on NumPy array sums. NumPy Random Object Exercises, Practice and Solution: Write a NumPy program to check two random arrays are equal or not. Find the union of two arrays. 0 Introduction NumPy is the foundation of the Python machine learning stack. This tutorial was contributed by Justin Johnson. Find the union of two arrays. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to find the union of two arrays. To create deep copies of array, follow provided link. Restore the array with np. Ray line segment intersection in Python using Numpy - gist:faf7c4cafd683db13cbc. Let's check out some simple examples. argmin() returns the index in the flatten array, which is a first step, but I wonder if it is possible to get the coordinates directly as an array, rather than calculating them myself by using this flat index and the shape of the array. Sines of angles between \pi and 2\pi are negative. # # The arrays f, g and h is typed as "np. Filtering multiple NumPy arrays based on the intersection of one column. NumPy Exercises, Practice, Solution: NumPy is a Python package providing fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. The data is stored like in a C array, also be read by iterating multiple times for each. shape[0]) # Shuffle the arrays by giving the permutation in the square brackets. I know numpy. intersect1d¶ numpy. Note I want to raise the matrix to a non-integer power. Know how to create arrays : array, arange, ones, zeros. Currently I am just using a loop: for i in a_list_of_indices: a_2d_array[i,i] = num If the array is large and the number of diagonal elements to be filled is. array([2, 3, 4]) # direct initialization np. There are lot of libraries for scientific computation and visualization available in Fedora. Ask Question Asked 6 months ago. Dealing with multiple dimensions is difficult, this can be compounded when working with data. Return the sorted, unique values that are in both of the input arrays. Feb 22, 2018 · Converting MNIST dataset for Handwritten digit recognition in IDX Format to Python Numpy Array. I have two numpy arrays: One array gives me a normal (x, y) values of an elevation profile in 2D The other array is calculated values of coordinates (x, y) that spans the circumference of a circle from a defined centre. eye(200) # ones on the diagonal np. count If this is a tuple of ints, the count is performed on multiple axes, instead of a single axis or all the axes as before. Filtering multiple NumPy arrays based on the intersection of one column. sage: sum(L == 1) 3 Also, if you want to count occurrences of every element in the array, you can do:. org) (EMBL) ⋆ Numpy Stack ⋆ June 16, 2014 (3 / 26). This tutorial was contributed by Justin Johnson. Indexing Indexing numpy arrays, from simple to complicated. I am curious to know why the first way does not work. Jul 15, 2017 · Data Science: Performance of Python vs Pandas vs Numpy July 15, 2017 April 9, 2018 Lucas KM Tips and Tricks Note: this is updated version of original post from 15 July 2017. Recommend:python - filtering multiple numpy arrays based on the intersection of one column e all integers. union1d (ar1, ar2) [source] ¶ Find the union of two arrays. Let's first create the matrix A in Python. Here's a example with 4x4x3-arrays, because it's easier to veryfy by printing out the result: [code]import. Aug 03, 2018 · 4. array useful for heavy number crunching => see numpy section sorteddict like the name says, a sorted dictionary Exercises. (The same array objects are accessible within the NumPy package, which is a subset of SciPy. 0000001 in a regular floating point loop took 1. How to Convert a List into an Array in Python with Numpy. Closer in semantics to tensor algebra, if you are familiar with that. 0 # minimal value of b covered by grid bmax = + 4. NumPy package contains an iterator object numpy. You can help. When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. Active 3 years, 3 months ago. ndarray" instances. It ranges from -1 for to +1 for The function has zeroes where the angle is a multiple of. That was a lot of work. You can also find intersection of multiple lists if you get multiple conditions to satisfy. array([[41,42], [43, 44], [45,. In this article, we show how to convert a list into an array in Python with numpy. isrealobj (x) Return True if x is a not complex type or an array of complex numbers. Oct 13, 2014 · The stock Python set operations support multiple inputs, while the Numpy equivalents only support two arrays. $ pip install numpy Let's now see how to solve a system of linear equations with the Numpy library. It ranges from -1 for x=3\pi / 2 to +1 for \pi / 2. Jul 15, 2017 · Data Science: Performance of Python vs Pandas vs Numpy July 15, 2017 April 9, 2018 Lucas KM Tips and Tricks Note: this is updated version of original post from 15 July 2017. Note that all given below approaches create shallow copy of array. intersect1d¶ numpy. Note that append does not occur in-place: a new array is allocated and filled. Ask Question Asked 7 years, 4 months ago. The main objective of this guide is to inform a data professional, you, about the different tools available to create Numpy arrays. Oct 27, 2015 · This set of Data Science Questions for campus interviews focuses on “NumPy – 1”. Each element of the return array is taken from the array in a choicelist corresponding to the first condition in condlist that is true. So in my code I've also been calculating the slope and y-intercept, it would be nice if that could be avoided but I don't know of a way how. GitHub Gist: instantly share code, notes, and snippets. Storing large Numpy arrays on disk: Python Pickle vs. This is often the case in machine learning applications where a certain model expects a certain shape for the inputs that is different from your dataset. A single field can be specified as a string, and not all fields need be specified, but unspecified fields will still be used, in the order in which they come up in the dtype, to break ties. Oliphant, PhD Dec 7, 2006 This book is under restricted distribution using a Market-Determined, Tempo-rary, Distribution-Restriction (MDTDR. Reindex df1 with index of df2. I'll use interactive notebooks to explain the. Normally in numpy >= 1. array([2, 3, 4]) # direct initialization np. Steps = 101 # grid size Chi2Manifold = numpy. pad_to_multiples_of (arr, height_multiple, width_multiple, mode='constant', cval=0, return_pad_amounts=False) [source] ¶ Pad an image array until its side lengths are multiples of given values. In order to reshape numpy array of one dimension to n dimensions one can use np. Tag: python,arrays,numpy,matrix,multidimensional-array. It is very important to reshape you numpy array, especially you are training with some deep learning network. Learn more about matlab, set difference, intersection MATLAB. vectorize¶ class numpy. intersect1d (ar1, ar2, assume_unique=False, return_indices=False) [source] ¶ Find the intersection of two arrays. You can vote up the examples you like or vote down the ones you don't like. sin currently only work on eagerly evaluated arrays (this will change with the next major NumPy release). Know how to create arrays : array, arange, ones, zeros. 14, assignment of one structured array to another copies fields "by position", meaning that the first field from the src is copied to the first field of the dst, and so on, regardless of field name. SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. Return the sorted, unique values that are in both of the input arrays. If you specify the 'rows' option, A and B must have the same number of columns. argmin() returns the index in the flatten array, which is a first step, but I wonder if it is possible to get the coordinates directly as an array, rather than calculating them myself by using this flat index and the shape of the array. In the above numpy array element with value 15 occurs at different places let’s find all it’s indices i. Dec 05, 2018 · In this article we will discuss how to select elements from a 2D Numpy Array. In a 2-dimensional NumPy array, the axes are the directions along the rows and columns. assume_unique bool. The new array R contains all the elements of C where the corresponding value of (A<=5) is True. For consistency, we will simplify refer to to SciPy, although some of the online documentation makes reference to NumPy. They are extracted from open source Python projects. It comes with NumPy and other several packages related to. union1d(ar1, ar2)¶. python interpreters). The axes of 1-dimensional NumPy arrays work differently. Split an array into multiple sub-arrays as views into ary. NumPy mean calculates the mean of the values within a NumPy array (or an array-like object). Numpy is the core package for data analysis and scientific computing in python. csv files, you need to specify a value for the parameter called fname for the file name (e. The result will be a copy and not a view. I am working with multi-dimensional arrays and I need to get coordinates of the min value in it. In this function it is possible to specify the comparison method, intersection refers to the method we discussed in this article. Just replace your Numpy code with compatible CuPy code and boom you have GPU speedup. Intersection of Two Arrays II. We have provided replacements that also work on all xarray objects, including those that store lazy Dask arrays, in the xarray. 28507 seconds. To create a matrix, the array method of the Numpy module can be used. Oliphant, PhD Dec 7, 2006 This book is under restricted distribution using a Market-Determined, Tempo-rary, Distribution-Restriction (MDTDR. permutation function to generate the index array and use it to shuffle multiple arrays. Rotations with a generic numpy implementation. Python - Intersection of 2D Numpy Arrays up vote 3 down vote favorite I'm desperately searching for an efficient way to check if two 2D numpy Arrays intersect. The rasters overlap on several pixel but have different values for the the overlapping pixels (one raster has nodata value for pixels, the other has the actual elevation data point). When you index into numpy arrays using slicing, the resulting array view will always be a subarray of the original array. txt file that contains information in the following pattern : The data is. The questions are of 4 levels of difficulties with L1 being the easiest to L4 being the hardest. Then, we will solve the equations to find where they are equal to each other and propagate the uncertainties in the parameters to the answer. A version of intersect1d supporting n arrays was posted to numpy-discussion back in 200. Now there are various ways in Python, through which we can perform the Intersection of the lists. Active 3 years, 3 months ago. NumPy arrays have a convenient property called T to get the transpose of a matrix: In more advanced use case, you may find yourself needing to switch the dimensions of a certain matrix. union1d(ar1, ar2)¶. iscomplexobj (x) Check for a complex type or an array of complex numbers. 2s for the keypoints->numpy to execute, and around 20s is spent by cv2. For example, if the input arrays are: arr1[] = {7, 1, 5, 2, 3, 6}. So using her post as the base, this is my take on NumPy array sums. Data Science is the Art and Science of drawing actionable insights from the data. By voting up you can indicate which examples are most useful and appropriate. Numpy is most suitable for performing basic numerical computations such as mean, median, range, etc. Sep 14, 2017 · intersection of multiple arrays. However, you'll need to view your array as an array with fields (a structured array). In this tutorial, we will some examples to discuss these notices. I have two numpy arrays: One array gives me a normal (x, y) values of an elevation profile in 2D The other array is calculated values of coordinates (x, y) that spans the circumference of a circle from a defined centre. 3D Plotting functions for numpy arrays¶ Visualization can be created in mlab by a set of functions operating on numpy arrays. This post demonstrates 3 ways to add new dimensions to numpy. dat file into Numpy array ? So, I am trying create a stand-alone program with netcdf4 python module to extract multiple point data. According to documentation of numpy. The questions are of 4 levels of difficulties with L1 being the easiest to L4 being the hardest. Given that multiple languages support broadcasting with very similar meaning to how Numpy uses the word, it'd perhaps be nice to rename numpy-broadcasting to a more general array-broadcasting. Apr 16, 2019 · If you want to merge or intersect multiple numpy arrays, there is a much faster way, by using the property, that the resulting array is sorted. Before you can use NumPy, you need to install it. If a is any numpy array and b is a boolean array of the same dimensions then a[b] selects all elements of a for which the corresponding value of b is True. But the first way doesn't. This blog post acts as a guide to help you understand the relationship between different dimensions, Python lists, and Numpy arrays as well as some hints and tricks to interpret data in multiple dimensions. A copy of arr with values appended to axis. Numpy LuisPedroCoelho Programming for Scientists October22,2012 Luis Pedro Coelho (Programming for Scientists) ⋆ Numpy ⋆ October 22, 2012 (1 / 26). Indexing Indexing numpy arrays, from simple to complicated. NumPy Exercises, Practice, Solution: NumPy is a Python package providing fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. Please read our cookie policy for more information about how we use cookies. It allows rapid construction of a function which returns an array of results based on a list of conditions. Parameters ar1, ar2 array_like. In cases where a MaskedArray is expected as input, use the ma. I want to create a 2D array and assign one particular element. Sortednp (sorted numpy) operates on sorted numpy arrays to calculate the intersection or the union of two numpy arrays in an efficient way. assume_unique bool. According to documentation of numpy. The key to making it fast is to use vectorized operations, generally implemented through NumPy's universal functions (ufuncs). In this article we will discuss how to select elements from a 2D Numpy Array. NumPy will interpret the structure of the data it receives to determine the dimensionality and shape of the array. intersect1d (ar1, ar2, assume_unique=False, return_indices=False) [source] ¶ Find the intersection of two arrays. Oct 23, 2019 · Numpy Matrix Multiplication - Hackr. dsplit (ary, indices_or_sections) Split array into multiple sub-arrays along the 3rd axis (depth). intersect1d¶ numpy. count If this is a tuple of ints, the count is performed on multiple axes, instead of a single axis or all the axes as before. Learn more about python, numpy, ndarray MATLAB The first input must contain a multiple of 8 elements to convert from uint8. Applications: Retail, Bank, E-Commerce, Healthcare, and Telecom, etc. I'm a Python beginner (more used to code in R) and I'd like to optimize a function. Imagine we have a NumPy array with six values: We can use the NumPy mean function to compute the mean value:. The coordinate of the outgoing ray's intersection with the unit circle is the sine of that angle. Segment axis Devious trick using strides to allow general operations (like convolution) on successive, overlapping pieces of an array. pad_to_multiples_of (arr, height_multiple, width_multiple, mode='constant', cval=0, return_pad_amounts=False) [source] ¶ Pad an image array until its side lengths are multiples of given values. 2 arrays ares filled by integers from 0 to 100. py * Update arraysetops. Dec 08, 2018 · In this article we will discuss how to select elements or indices from a Numpy array based on multiple conditions. history(context. Check the numpy list of statistical functions included in numpy. In our next example, we will use the Boolean mask of one array to select the corresponding elements of another array. 0 # minimal value of a covered by grid amax = + 5. array function. On Oct 15, 2012 3:12 PM, "someone" wrote: > How to initialize my array directly using variables ? Why not just use the list-of-lists constructor instead of the string. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to select indices satisfying multiple conditions in a numpy array. NumPy arrays have a convenient property called T to get the transpose of a matrix: In more advanced use case, you may find yourself needing to switch the dimensions of a certain matrix. This sort of question is a tad bit different the normal 'how to find the intersection of two lines' via numpy. You can create new numpy arrays by importing data from files, such as text files. In this article, we show how to convert a list into an array in Python with numpy. They can be classified into the following types −. So your method would work if you initialized an array of floats: >>> x = np. In a NumPy structured array, each element has multiple fields, much like in a relational database. The main NumPy and SciPy documentation. HDF5 9 Comments / Python , Scientific computing , Software development / By craig In a previous post, I described how Python's Pickle module is fast and convenient for storing all sorts of data on disk. Most computational packages providing scientific functionality use NumPy’s array objects as the lingua franca for data exchange. The key to making it fast is to use vectorized operations, generally implemented through NumPy's universal functions (ufuncs). I'm a Python beginner (more used to code in R) and I'd like to optimize a function. The most obvious examples are lists and tuples. set_string_function is unsafe when using multiple embedded interpreters numpy. Know how to create arrays : array, arange, ones, zeros. The questions are of 4 levels of difficulties with L1 being the easiest to L4 being the hardest. it seems the way to get intersection of N arrays using np. For example:. for more information visit numpy documentation. The main data structure in NumPy is the ndarray, which is a shorthand name for N-dimensional array. The second way below works. NumPy Basics: Arrays and Vectorized Computation. repeat(range(10),2). Data science has an intersection with artificial intelligence but is not a subset of artificial intelligence. permutation function to generate the index array and use it to shuffle multiple arrays. Return the sorted, unique values that are in both of the input arrays. To create a matrix, the array method of the Numpy module can be used. For example:. Sep 03, 2019 · An array may be simultaneously attached from multiple different processes (i. To create a one-dimensional NumPy array, we can simply pass a. Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing. Oct 23, 2019 · Numpy Matrix Multiplication - Hackr. When one or more of the arrays to be concatenated is a MaskedArray, this function will return a MaskedArray object instead of an ndarray, but the input masks are not preserved. 9 and python 2. arraysetops Module with a number of other functions for performing set operations on arrays. hsplit Split array into multiple sub-arrays horizontally (column-wise). mean along multiple axis gives wrong result for large arrays #8869. 2s for the keypoints->numpy to execute, and around 20s is spent by cv2. First, we will find inverse of matrix A that we defined in the previous section. Python scientific lecture notes : a comprehensive set of tutorials on the scientific Python ecosystem. Before you can use NumPy, you need to install it. csv files, you need to specify a value for the parameter called fname for the file name (e. NumPy package contains an iterator object numpy. > I like to use numpy. maximum or numpy. Will be flattened if not already 1D. A matrix can be. Strings, Lists, Arrays, and Dictionaries¶ The most import data structure for scientific computing in Python is the NumPy array. NumPy is, just like SciPy, Scikit-Learn, Pandas, etc. Remember, python is a zero indexing language unlike R where indexing starts at one. A slicing operation creates a view on the original array, which is just a way of accessing array data. Aug 21, 2018 · In python, reshaping numpy array can be very critical while creating a matrix or tensor from vectors. py * Update arraysetops. dsplit (ary, indices_or_sections) Split array into multiple sub-arrays along the 3rd axis (depth). intersect1d¶ numpy. permutation function to generate the index array and use it to shuffle multiple arrays. Just replace your Numpy code with compatible CuPy code and boom you have GPU speedup. The exact speed depends very much how NumPy is used, but the target would be to be within an order of magnitude from handwritten C. The proper way to create a numpy array inside a for-loop Python A typical task you come around when analyzing data with Python is to run a computation line or column wise on a numpy array and store the results in a new one. set_string_function is unsafe when using multiple embedded interpreters numpy. concatenate¶ numpy. array of shape (n_1, m) and (n_2, m). As you know that x was just a placeholder for the input array, you can start to use more specific placeholder names for the input parameter, such as array. Sep 05, 2014 · Performance of Pandas Series vs NumPy Arrays September 5, 2014 September 5, 2014 jiffyclub python pandas numpy performance snakeviz I recently spent a day working on the performance of a Python function and learned a bit about Pandas and NumPy array indexing. A classic GIS question you might ask is: "What is the maximum or minimum cell value from a set of multiple overlapping rasters?". Remember, python is a zero indexing language unlike R where indexing starts at one. Converting Python array_like Objects to NumPy Arrays¶ In general, numerical data arranged in an array-like structure in Python can be converted to arrays through the use of the array() function. For example, create a 2D NumPy array:. Select row by label. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. Convert python numpy array to double. I am working with multi-dimensional arrays and I need to get coordinates of the min value in it. Python does not have built-in support for Arrays, but Python lists can be used instead. NumPy mean computes the average of the values in a NumPy array. plot(x,y), where x and y are arrays of the same length that specify the (x;y) pairs that form the line. union1d (ar1, ar2) [source] ¶ Find the union of two arrays. This section motivates the need for NumPy's ufuncs, which can be used to make repeated calculations on array elements much more efficient. Sines of angles between and are negative. See the documentation for array() for details for its use. We have provided replacements that also work on all xarray objects, including those that store lazy Dask arrays, in the xarray. This blog post acts as a guide to help you understand the relationship between different dimensions, Python lists, and Numpy arrays as well as some hints and tricks to interpret data in multiple dimensions. shuffled_a = dataset. iterate over multiple arrays. If you want to merge or intersect multiple numpy arrays, there is a much faster way, by using the property, that the resulting array is sorted. List the NumPy primitive types. Nov 22, 2019 · numpy. Use the concatenate function on 2 arrays. Can anyone help with converting a text file to a 2-D array in Python using NumPy (or something similar)? I have a. A NumPy array is a multidimensional array of objects all of the same type. Note however, that this uses heuristics and may give you false positives. Vectors, Matrices, and Arrays 1. NumPy / SciPy / Pandas Cheat Sheet Select column. They are extracted from open source Python projects. This puzzle introduces the average function from the NumPy library. In particular, these are some of the core packages. It is an efficient multidimensional iterator object using which it is possible to iterate over an array. intersect1d (ar1, ar2, assume_unique=False, return_indices=False) [source] ¶ Find the intersection of two arrays. csv files, you need to specify a value for the parameter called fname for the file name (e. Just replace your Numpy code with compatible CuPy code and boom you have GPU speedup. Working with NumPy in ArcGIS Numerical Python (NumPy) is a fundamental package for scientific computing in Python, including support for a powerful N-dimensional array object. history(context. If you want to merge or intersect multiple numpy arrays, there is a much faster way, by using the property, that the resulting array is sorted. reshape , it returns a new array object with the new shape specified by the parameters (given that, with the new shape, the amount of elements in the array remain unchanged) , without changing the shape of the original object, so when you are calling the. We have alreday seen in the previous chapter of our Numpy tutorial that we can create Numpy arrays from lists and tuples. repeat(range(10),2). Here are the examples of the python api numpy. NumPy - Array Manipulation - Several routines are available in NumPy package for manipulation of elements in ndarray object. array([1,1,3,1,4,5,8]) sage: list(L). In this article, we show how to get the inverse of a matrix in Python using the numpy module. Split an array into multiple sub-arrays as views into ary. Currently numpy1. index, ) using multiple stocks input like that is the type of timeseries dataframe you're referring to. 14, assignment of one structured array to another copies fields "by position", meaning that the first field from the src is copied to the first field of the dst, and so on, regardless of field name. Aug 05, 2016 · So you could use numpy. Find the union of two arrays. Selecting columns of numpy record style arrays May 21, 2011 July 13, 2012 callocorg Python Once in a while you may find yourself trying to access custom record columns in python's numpy. In the above numpy array element with value 15 occurs at different places let's find all it's indices i. In this article we will discuss how to select elements or indices from a Numpy array based on multiple conditions. How to find the intersection of two functions Previously we have seen how to find roots of a function with fsolve , in this example we use fsolve to find an intersection between two functions, sin(x) and cos(x):. This blog post acts as a guide to help you understand the relationship between different dimensions, Python lists, and Numpy arrays as well as some hints and tricks to interpret data in multiple dimensions. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to select indices satisfying multiple conditions in a numpy array. You can create new numpy arrays by importing data from files, such as text files. It is also known by the alias array. It didn't help. So in my code I've also been calculating the slope and y-intercept, it would be nice if that could be avoided but I don't know of a way how. array of shape (n_1, m) and (n_2, m). I am working with multi-dimensional arrays and I need to get coordinates of the min value in it. 0 # minimal value of a covered by grid amax = + 5. I am working with multi-dimensional arrays and I need to get coordinates of the min value in it. concentrate: (20 points) This function takes a positive odd integer N and a NumPy array a whose width and height are both a multiple of the integer N. in1d() on this intersection and the first columns of each array to find the row indices that are not shared in each array (converting boolean to index using a modified version. SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. NumPy is a package for scientific computing which has support for a powerful N-dimensional array object. The only effect # this has is to a) insert checks that the function arguments really are # NumPy arrays, and b) make some attribute access like f. torch_ex_float_tensor = torch. Numpy | Array Creation. Numpy lets us do vector math like in R, saving us a lot of effort. where() to select parts of arrays. vectorize(pyfunc, otypes='', doc=None, excluded=None, cache=False) [source] ¶. Filtering multiple NumPy arrays based on the intersection of one column. Numpy Convert String To Array. I have two raster files as numpy arrays. [split] Array in numpy: aapurdel: 1: 297: May-25-2019, 08:05 PM Last Post: buran [numpy]add a value to an array: elmismo999: 1: 398: May-23-2019, 04:15 PM Last Post: michalmonday "erlarge" a numpy-matrix to numpy-array: PhysChem: 2: 425: Apr-09-2019, 04:54 PM Last Post: PhysChem : while creating a array using numpy.