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Re: Extract Tabular Data from PDF Images using Hugging Face Table Transformer 1 Month Ago by Harini sri Hi, Thank you so much for the above code. Its giving better results compared to other libraries. I have few questions. In some tables, I have common column name for three columns and further I have sub columns like below.... in these cases the tables are not getting extracted properly...Do you have any suggestions for handling such cases? Also … Re: NumPy and Python list 5 Years Ago by karansingh NumPy, a Python package, has made its place in the world … object along with a set of advanced functions. Yes, a NumPy array is better than a Python list. This is in…. 4.It is easier to read and write items with NumPy. NumPy vstack question 11 Years Ago by fatalaccidents …= f1['Geometry'] nodes = geo['orig_node_number'] orig_nodes = numpy.array(nodes['0']) local_hot_list = numpy.column_stack((orig_nodes,press_day,temp_day)) print 'File ' + local_files…5 local_hot_list's go into one stack like complete_hot_lists = numpy.vstack(h_list1, h_list2, h_list3, h_list4, h_list5) I … Re: NumPy vstack question 11 Years Ago by Gribouillis …['Geometry'] nodes = geo['orig_node_number'] orig_nodes = numpy.array(nodes['0']) return numpy.column_stack((orig_nodes,press_day,temp_day)) complete_hot_list = numpy.vstack(tuple(local_hot_list(name, day_to_extract) for… Numpy loadtxt with string data 12 Years Ago by hughesadam_87 …that I'm trying to store in a numpy array. avi_05MSalt00001.txt 2012 Feb 07 20:… (usec) 300 10 I've defined the following numpy datatype: [CODE]timefile_dtype=numpy.dtype([ ('filename', file), ('year', int), ('…, '', 50000, '', 300, 10) Is it possible for numpy to store these string variables? If so, am I doing… Re: Numpy loadtxt with string data 12 Years Ago by Gribouillis …, otherwise the length defaults to zero. [code=python] import numpy timefile_dtype=numpy.dtype([ ('filename', file), ('year', int), ('month', str…('unit', str, 25), ('avg', int), ('boxcar', int), ]) a = numpy.zeros((1,), dtype=timefile_dtype) x = a[0] x['filename'] = "… NumPy hypergeometric distribution problem 14 Years Ago by justaguy101 Hi guys! I have a problem calling the numpy.random.hypergeometric function with certain values. It …is Vista, Python version 2.6 and the latest NumPy version(and SciPy). Any idea what causes this? …Here's an example: [CODE] from numpy.random import hypergeometric print hypergeometric(10000, 10000, 10000) #Works… Numpy bit concatenation 12 Years Ago by Niner710 Hi, I created a numpy matrix(1 row, 3 cols) with the following values [4 … of [4 6 8] I would want to have a numpy matrix of just 1 entry [010001101000]. I would like each… a 4 digit binary number. I looked at reshape for numpy but am still unsure how to do this? Would appreciate… Re: Numpy bit concatenation 12 Years Ago by Niner710 … sense. Now, what if I have a numpy array as follows. [CODE] m = numpy.array([0xfe,0xff,0xf7,0xff,0x65,0xef,0xcc…,0xff]) [/CODE] I want to be able to converge this numpy array into one entry. So I would like to have… Re: NumPy hypergeometric distribution problem 14 Years Ago by vegaseat … came up with these results ... [code]# numpy.random.hypergeometric(ngood, nbad, nsample, size=None) import numpy as np # these work fine print… Re: Numpy bit concatenation 12 Years Ago by TrustyTony [CODE]>>> import numpy >>> m = numpy.array([4, 6, 8]) >>> m array([4, 6, 8]) >>> print m[-1]+16*m[-2]+16**2*m[-3] 1128 >>> sum(m*[16**2, 16, 1]) 1128 >>> bin(1128) '0b10001101000' >>> [/CODE] Numpy array 2d plotting 14 Years Ago by bol0gna … numbers in each file to create a 2d plot using numpy. I've got a decent start, just am stuck on… to plot. [CODE] import os # for file handling functions import numpy as np # for array/matrix processing import matplotlib.pyplot as… numpy array rows and columns 14 Years Ago by Chromana Hey. I'm importing an array in a text file via [icode]array=numpy.loadtxt("testdata.txt")[/icode]. Is there an easy way to count the number of rows and columns? Maybe something like [icode]x=numpy.countrow(array)[/icode]? I've had a look around and couldn't find anything suitable. Thanks, Alex Re: numpy array rows and columns 14 Years Ago by vegaseat Use numpy shape ... [code]import numpy as np # create a 3 by 5 array of integer … Tricky Numpy Vectorize Question 13 Years Ago by prodigenius numpy.vectorize takes a function f:a->b and turns … as an ndarray or list. For example: [CODE=python] import numpy as np def f(x): return np.array([1,1… numpy + MA, problem with min and max on masked arrays 16 Years Ago by petr2008 Hi, I am using Python 2.4.4 and: from numpy import * from MA import * I am using masked data in … numpy for python3? 15 Years Ago by daviddoria I'm just starting python and it seemed reasonable to go ahead and learn the new version. I read that numpy wont be available for python3 until at least 2010. All I need is a basic "vector", "matrix", and some basic functions like matrix/vector multiplication. Is anything like this available for python3? Thanks, Dave Numpy randn() sampling in a range of 1 and -1 13 Years Ago by pythonbegin Hi All I have a query about Numpy randn() function to generate random samples from standard normal distribution. … Re: Numpy randn() sampling in a range of 1 and -1 13 Years Ago by pythonbegin …. [QUOTE=pythonbegin;1541978]Hi All I have a query about Numpy randn() function to generate random samples from standard normal distribution… Re: Numpy randn() sampling in a range of 1 and -1 13 Years Ago by Gribouillis …, 1.0] like this [code=python] sigma = 0.1 a = numpy.clip(X + sigma * randn(100, 20), -1.0, 1.0… Re: Numpy randn() sampling in a range of 1 and -1 13 Years Ago by pythonbegin …, 1.0] like this [code=python] sigma = 0.1 a = numpy.clip(X + sigma * randn(100, 20), -1.0, 1.0… Re: Numpy randn() sampling in a range of 1 and -1 13 Years Ago by Gribouillis … from log normal distribution.[/QUOTE] I suppose so. Write [icode]numpy.random.lognormal(mean, sigma, (100,20))[/icode]. But can you… Numpy array creation 12 Years Ago by hughesadam_87 Hey guys, I have a simple numpy datatype: [CODE]spec_dtype = np.dtype([ ('wavelength', float), ('intensity', float) ])[/CODE] … Re: Numpy array creation 12 Years Ago by TrustyTony How about simply ziping the lists together: [CODE]import numpy as np spec_dtype = np.dtype([ ('wavelength', float), ('intensity', float) ]) wavelengths=[300.00, 200.00, 100.00] intensities=[23, 32, 43] mydata = np.array(zip(wavelengths, intensities), dtype=spec_dtype) print(mydata)[/CODE] NumPy and Python list 5 Years Ago by Abhays01 Is NumPy is better than Python list? Re: Convert python list to numpy array. 15 Years Ago by sneekula Numpy handles only numeric arrays, not object arrays. I think VPython actually uses numpy/numeric internally. Re: Python 3.3 and Numpy 11 Years Ago by vegaseat numpy-MKL-1.6.2.win32-py3.3.exe can be found at the Gohlke site Re: Loan calculation using Python module numpy 10 Years Ago by HiHe Numpy is not only fast, but in this case simple to use. Re: Tricky Numpy Vectorize Question 13 Years Ago by prodigenius No, it is not solved. Your solution has the exact same problem is my line 7 - it gives a numpy object array, not a numpy float array. Did you test it? repr(g(a)) == 'array([[ 0. 0. 0. 0. 0.], [ 1. 1. 1. 1. 1.], [ 2. 2. 2. 2. 2.],[ 3. 3. 3. 3. 3.]], dtype=object)' Re: Tricky Numpy Vectorize Question 13 Years Ago by TrustyTony [CODE]import numpy as np def f(x): return np.array([1,1,1,1,1], dtype=np.float32) * x g = np.vectorize(f, otypes=[np.ndarray]) a = np.arange(4) print(a) print repr(g(a)) [/CODE]