Numpy Lookup Table


Install numpy with mkl keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. I tackled each of these methods very differently, so let’s cover them each one at a time. By default this will be set to the length of the lookup table, or 255 if no lookup table is provided. NumPy uses both methods with a preference for the second method because it can be safer. data_segment def save_attachments (self, directory = None. This Python tutorial helps you to learn python in best possible way. The Pandas library is one of the most preferred tools for data scientists to do data manipulation and analysis, next to matplotlib for data visualization and NumPy , the fundamental library for scientific. The ColumnLabels option allows you to export or ignore the column labels, ColumnComments does the same for the comments displayed in the table header and the SelectionOnly option makes possible to export only the selected cells of the table. Python dictionary lookup speed with NumPy datatypes BACKGROUND I have a lot of numeric message codes in a NumPy array, and I'd need to convert them into strings fast. It is also much closer to the original function that the home made lookup table. In the speedup context, there are a couple options: 1. ; Roberts, J. The following are code examples for showing how to use numpy. When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. Refer to numpy. compress(condition, axis=None, out=None) Return selected slices of this array along given axis. ndarray Time index used to look up the antenna Jones index for a particular baseline. Often, you may want to subset a pandas dataframe based on one or more values of a specific column. There is an alternative to this approach. first_name last_name age preTestScore postTestScore; 0: Jason: Miller: 42-999: 2: 1: Molly. Python lookup table generation script. An OMX matrix object extends a Pytables/HDF5 "node" which means all HDF5 methods and properties behave normally. to a local variable to avoid the attribute look-up at each loop data type in Numpy is float_. A x7 speed up. As for the output format we. csv'): print k j = numpy. See Also: numpy. One of the biggest advantages of having the data as a Pandas Dataframe is that Pandas allows us to slice and dice the data in multiple ways. I am very new to python and am in need of. one of the packages that you just can't miss when you're learning data science, mainly because this library provides you with an array data structure that holds some benefits over Python lists, such as: being more compact, faster access in reading and writing items, being more convenient and more efficient. tables WHERE tablekind = 'T' If you want to get, all the tables present in sales database SELECT * FROM dbc. How to find range of data in Cell Scalar Array?. The Pandas library is one of the most preferred tools for data scientists to do data manipulation and analysis, next to matplotlib for data visualization and NumPy , the fundamental library for scientific. The primary goals of current energy conversion (CEC) technology being developed today are to optimize energy output and minimize environmental impact. interp1d seems to be faster when operating on a NumpyArray, but UnivariateSpline is faster when operating on individual floating-point numbers. 7 has been dropped. For example, to use an existing embedding table from a file in numpy format, use this: Embedding(weights=np. Thanks Dan, but. 0 Release Notes¶ This NumPy release contains a number of new features that should substantially improve its performance and usefulness, see Highlights below for a summary. Oliphant's book Guide to NumPy (which generously entered Public Domain in August 2008). For the second, tables showing answer counts with a heat map behind them seemed to work the best. Everyday low prices and free delivery on eligible orders. datetime64 data type. As for now, I am only able to loop through the values of the numpy array and add them one by one to the vtkLookupTable. Default is 0. 9 Indices and tables 79 Index 81 ii. In our instance, the lookup table would be from cell reference B2 to E25,i. To get all table names in teradata SELECT * FROM dbc. temp) [/code]. AttributeError: module 'numpy' has no attribute '__version__'解决方法 重新装一下numpy这个包 pip uninstall numpy pip install numpy Python下的pickle. uint8 (or any integer type so long as values are with the bounds of the lookup table) will result in an array of shape (ny, nx, 3) where a triple of RGB values is associated with each pixel location. Features highly optimized, threaded, and vectorized math functions that maximize performance on each processor. 2018-09-16 23:58 Regina Obe * [r16816] Replace long tag with short-tag for xref ST_MemSize. NLTK is a leading platform for building Python programs to work with human language data. LogNorm ([vmin, vmax, clip]) Normalize a given value to the 0-1 range on a log scale. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced. The ctypes attribute of the ndarray returns an object that has an _as_parameter_ attribute which returns an integer representing the address of the ndarray to which it is associated. For the first goal, I found the best way to visualize the data was to use box and whisker plots. Numpy Arrays" section. 050 CPU seconds. Nessus Plugin ID 129827 with Medium Severity. Suppose if you want to get an element value in a column of a table you normally run a select command as shown below. average() call then sums these array values and computes the average. 2012-04-15 15:46 mcayland * shp2pgsql-gui: don't allow the user to edit the schema name in the listview. Data and code for the floating point number example in Table 1 in Tip 3. What is the most efficient way to create lookup tables in R? I test a few approaches for relatively large tables with up to 100,000 rows and 50 columns. In every CSV file, the first column contains the output of the lookup table. If you are new to Python review the. Christian's Python Library Main Page 1460 windowType = LOOKUP_TABLE_HANN, a numpy array containing the weighted moving average data. compress equivalent function ndarray. Hi everybody, I am new to newpy and am trying to define a variant of piecewise or zero holder interpolation function, say ZeroOrderInterpolation(t,a), where t is an 1D array of size, say p, consisting of real numbers, and a is a 2D array of size, say nxm, with first column consisting of increasing real numbers. wcs contains utilities for managing World Coordinate System (WCS. Plotting numpy arrays as images¶ So, you have your data in a numpy array (either by importing it, or by generating it). datetime64 data type. matplotlib. atom sys import inspect import warnings import numpy from. temp) [/code]. All data in a Python program is represented by objects or by relations between objects. Release v0. interp with xp as your lookup keys and fp as your values (which have to be floats I guess). The sections below include examples of using the field calculator. You will need to know how to use these functions for future assignments. If you want to use Python and an Oracle database, this tutorial helps you get started by giving examples. Q 11 is the z-value that corresponds to x 1 and y 1; in this example, that would be 2. lookup (self, row_labels, col_labels) [source] ¶ Label-based “fancy indexing” function for DataFrame. In our Algorithms and Data Structures course, you’ll learn about different data structures and how they can help speed up your data analysis. Of course, to extend the code to find the log of a 33- to 64-bit number, we would append another element, 0xFFFFFFFF00000000, to b, append 32 to S, and loop from 5 to 0. Calculations are performed using Python, SQL and Arcade. Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts. This Python tutorial helps you to learn python in best possible way. Motivation: I have a large number of large read-only dicts with large string keys mapped to tuples of two floats. """ for entry in self. # Return an RGB(A) lookup table (ndarray). Indexing such an array with an image with shape (ny, nx) with dtype=np. This module contains the source polynomials directly, and so in principle it is more accurate than any lookup table. We will learn how to create. Column storage allows for efficiently querying tables with a large number of columns. lookup¶ DataFrame. A parent-child relationship between two tables can be created only when there is a PRIMARY KEY in one table and FOREIGN KEY in another table. This methodology still relies on using look-up tables, which have been updated in this work (Peirce's criterion table). Often whether to sub-class the array object or to simply use the core array component as an internal part of a new class is a difficult decision, and can be simply a matter of choice. utils, and include tools in a number of categories. You could use the pandas package and import the two CSV files as data frames, and merge/join the two data frames together on whichever field(s) tie(s) the two tables together. In every CSV file, the first column contains the output of the lookup table. The Pandas eval() and query() tools that we will discuss here are conceptually similar, and depend on the Numexpr package. For larger matrix operations we recommend optimized software packages like NumPy which is several (in the order of 1000) times faster than the above code. In previous topics, we. Natural Language Toolkit¶. Beautiful Soup 4 works on both Python 2 (2. Python3_NumPy_FOUND STANDARD: The virtual environment is not used to look-up for the interpreter. In many application (i. In this tutorial we will show how Dremio can be used to join data from JSON in S3 with other data sources to help derive further insights into the incident data from the city of San Francisco. One of my students wanted to speed up the calculation of exp(x) in a simulation. interpolation. This section motivates the need for NumPy's ufuncs, which can be used to make repeated calculations on array elements much more efficient. Lookup tables and spline fitting are widely used by scientific programmers. In the following example we merge the reviews table with. Tips for PyMongo, GridFS, and NumPy arrays billy_tables 0 points 1 point 2 points 1 You often want to look up a user by name or email address and find their. This brings the behaviour in line with that of the table name, and since these entries are generated from the table selector there should be no need to do this. Z_short (key) ¶ Atomic label of the corresponding atom. In addition, bcolz objects are compressed by default for reducing memory\/disk I\/O needs. I had to look up the definition of VLOOKUP to exactly understand what it meant, because I didn't get it quite right when first reading at your code:. Computation on NumPy arrays can be very fast, or it can be very slow. myextension_ARRAY_API). GitHub Gist: instantly share code, notes, and snippets. Indexing such an array with an image with shape (ny, nx) with dtype=np. We’ve seen at least one example on a Fedora system where cmake compiled using a user-installed version of boost and then linked against the system version. I have a QNAP NAS at home which I use for file storage. 1_0 exists in the ports tree: 4:debug:main python33 3. Subsequent columns contain the input variables. How to create lookup relationship in salesforce In our previous Salesforce Tutorial we have learned about how to create master detail relationship in Salesforce. I had to look up the definition of VLOOKUP to exactly understand what it meant, because I didn't get it quite right when first reading at your code:. Pythonで OpenCVの第 4回目、今回は OpenCVの Look up table を使って画像のガンマ補正(gamma correction)をやってみる。. Python Numpy : Create a Numpy Array from list, tuple or list of lists using numpy. It would be appreciated if there are any Python VTK experts who could convert any of the c++ examples to Python!. Arrays are useful and fundamental structures that exist in every high-level language. Scikit-learn accepts only 2D NumPy arrays of real numbers with no missing np. nanargmax (a[, axis]): Return the indices of the maximum values in the specified axis ignoring NaNs. Original table. We first need to run some data munging operations on it. The data are arranged in a grid of rows and columns. The ndarray in NumPy is a “new-style” Python built-in-type. Not everyone is a Tableau guru, at least not yet. register_cmap (name=None, cmap=None, data=None, lut=None) [source] ¶ Add a colormap to the set recognized by get_cmap(). bincount Some brief examples to give an impression hereof:. When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. NumPy is an open-source package of python. c: ST_Intersects(geography) returns incorrect result for pure-crossing. iloc[, ], which is sure to be a source of confusion for R users. ndarray) - the image data in radar coordinates; lut_rg_name - the name of the range coordinates lookup table file; lut_az_name - the name of the azimuth coordinates lookup table file; outname (str or None) - the name of the file to write; if None, the geocoded array is returned and no file is written. Therefore, it can form a foundation for many useful classes. key (array_like or str or int) – Uses value to lookup the atomic short name in the PeriodicTable object. SID)) def subblocks (self): """Return iterator over all SubBlock segments in file. NumPy for MATLAB users. Suggestion for efficient way to apply a table lookup to each element of an integer array? import numpy as np _cos = np. 7+) and Python 3. The iloc indexer syntax is data. Project Management Content Management System (CMS) Task Management Project Portfolio Management Time Tracking PDF. But I have used here, the masked array concept array from Numpy. For the second, tables showing answer counts with a heat map behind them seemed to work the best. There are many columns that will need lookups created. LutCtrl for image processing applications provides controls for the selection of colour scales. If you want to use the lookup tables without a pretrained model, you have to explicitly install spaCy with lookups via pip install spacy[lookups] or by installing spacy-lookups-data in the same environment as spaCy. dtype or Python type to cast entire pandas object to the same type. pdf For Later. The dtype argument specified not only the return type, but the type the calculation is done in as well. In the tables below. Mount tables can be parsed with getmntent and paths can be translated to device files (or whatever the actual quotactl implementations needs as argument) of the. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. Using a lookup table generated from a color transfer function. Joining DataFrames in this way is often useful when one DataFrame is a "lookup table" containing additional data that we want to include in the other. Plotting numpy arrays as images¶ So, you have your data in a numpy array (either by importing it, or by generating it). Since there are so many. But although that’s very important, it’s probably not the main reason why so many scientists, engineers, and data analysts use numpy and other programming tools like matlab and R that provide tables, or matrices (the mathematical name for a similar concept), as a fundamental data. Add a customer record with values from the supplier table. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and. Python Tutorial: map, filter, and reduce. data which is 6 supposed to be an array of "buckets" or "collision lists" 7 which contain the (key,value) pairs. Arrays may also be used to provide table lookups. Acknowledgements¶. This chapter briefly explains how to create a Windows extension module for Python using Microsoft Visual C++, and follows with more detailed background information on how it works. The calculated probabilities will be in the range of 0 to 1. Many of these files are are irreplaceable, especially our digital photos, so I back them up to the cloud. Practice with solution of exercises on SQL movie database, INNER JOIN, LEFT JOIN, RIGHT JOIN, RIGHT OUTER JOIN, LEFT OUTER JOIN, FULL OUTER JOIN, SELF JOIN, CROSS JOIN, EQUI JOIN, NON EQUI JOIN, subqueries on movie database, and more from w3resource. --- Log opened Fri Apr 01 00:00:56 2016 --- Day changed Fri Apr 01 2016 2016-04-01T00:00:56 zyp> oh, and another time I were overtaking a row of cars, I made the same realization, and the fucker I just passed decided to refuse letting me back in 2016-04-01T00:01:26 zyp> so there I were, in the opposing lane, corner coming up, and there's a fucker next to me that's not letting me back in 2016. Return the atomic short name corresponding to the key lookup. org When copy=False and a copy is made for other reasons, the result is the same as if copy=True, with some exceptions for A, see the Notes section. Easy Pieces in Python: A Lookup Table Often you find yourself with data that would be more useful in another form. Indexing such an array with an image with shape (ny, nx) with dtype=np. Then the ratio of the exponential of the input value and the sum of exponential values is the output of the softmax function. speedup** is module to obtain formulas with machine learning, which can be applied very fast (with a speed comparable to simple selections), while keeping high. Numpy array Numpy Array has a member variable that tells about the datatype of elements in it i. Congratulations! You have reached the end of our Python dictionary tutorial! Complete your learning by taking DataCamp's the free Intro to Python for Data Science course to learn more about the Python basics that you need to know to do data science and the Intermediate Python for Data Science course to learn more about the control flow. The Numerical Python mailing list: numpy-discussion. Index Optimalization. Certain NumPy array dtypes can be serialized to a binary format for performance and efficiency. meaning you can use numpy, scipy, and often get their C-like speed. When I match the first file with second I end up with data frames of different lengths and hence I can't cbind them. , Health science division counseling, Ori code lookup, Hunting & trapping files. Combining Data From Multiple Datasets. iloc[, ], which is sure to be a source of confusion for R users. ndarrays (in both directions). The lookup_storage_V() method can convert timeseries objects, and we save the water volume goal bounds as timeseries. If a Mx3 array-like, the rows define values (x, y0, y1). Project Management Content Management System (CMS) Task Management Project Portfolio Management Time Tracking PDF. The columns are made up of pandas Series objects. This page describes the numpy-specific API for accessing the contents of a numpy array from other C extensions. average() call then sums these array values and computes the average. So, in this chapter, we'll see how we can run our code remotely and get the. We created the Numpy Array from the list or tuple. title (label, fontdict=None, loc='center', pad=None, **kwargs) [source] ¶ Set a title for the axes. Q&A for cartographers, geographers and GIS professionals. amin() Python’s numpy module provides a function to get the minimum value from a Numpy array i. meaning you can use numpy, scipy, and often get their C-like speed. 2016-02-01. table lookup distortions as defined in the FITS WCS or Numpy arrays w. In PySpark, RDDs support the same methods as their Scala counterparts but take Python functions and return Python collection types. class HashTable: A generic hash table implementation. ใช้ lookup table ข้างต้น ใช้เวลาเฉลี่ย 0. Lookup transformation is a passive transformation used to look up a source, source qualifier, or target to get the relevant data. Many sections are split between console and graphical applications. title (label, fontdict=None, loc='center', pad=None, **kwargs) [source] ¶ Set a title for the axes. Next comes the homemade lookup table, taking 12 function calls in 0. iloc¶ Purely integer-location based indexing for selection by position. IPython is a growing project, with increasingly language-agnostic components. Join GitHub today. However, the element type of an array can be object which permits storing anything in the array. bspline1d import BSpline1D from rtctools. A parent-child relationship between two tables can be created only when there is a PRIMARY KEY in one table and FOREIGN KEY in another table. There are a few ways to do this, but a lookup table is often a huge win in situations like this. Whats people lookup in this blog:. Python is a fast and powerful object oriented programming language in the present world. It also allows for cheap addition and removal of column. One of the biggest advantages of having the data as a Pandas Dataframe is that Pandas allows us to slice and dice the data in multiple ways. In any case, you can try to use the QINV function which estimates the value of the inverse Studentized Range value without doing a table lookup. Learn about Lookup Transformation components, properties, Ports & learn to create lookup with an example. It was a great pleasure to work on this project. For those loops with all the same dtype, the issue is fairly straight forward anyway, because I can just decide how to handle the scalar before hand. import scipy. It is denormalized. As you can see from the above picture, that two new columns i. In the following example, you will first create two Python lists. Active 1 year, 5 months ago. Please try the new VTKExamples website. Now next step is to build a data connection between InfoSphere DataStage and the SQL Replication target database. searchsorted. c, /trunk/liblwgeom/lwgeodetic_tree. Suggestion for efficient way to apply a table lookup to each element of an integer array? import numpy as np _cos = np. """ for entry in self. I mention pandas because it's a great package for looking through data relatively easily - there are other options out there, of course. You can read more about it from Numpy docs on masked arrays. tables WHERE tablekind = 'T' and databasename='SALES'. iter : It is a iterable which is to be mapped. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. dtype Create a data type object. I have a pandas. It features an easy to learn syntax, object-oriented programming capabilities and a wide array of libraries. In previous topics, we. pyplot % matplotlib inline import numpy as np import matplotlib. First as a table >> lookup and second using a dedicated opcode. NumPy is a fundamental package for scientific computing in Python, including support for a powerful N-dimensional array object. class HashTable: A generic hash table implementation. Autograd python numpy. Axis along which to operate. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and. 2018-11-22 03:11 Regina Obe * [r17045] Prepping for EOL release. lutを使って画像の暗部を持ち上げてみる 夕方に撮影したこんな感じのちょっと暗い画像があります この写真に手を加えてみたいと思います 加工前の画像 加工後の画像 こんな感じに変わります。. Any value in the table may be “missing”. Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. The pixel value is then scaled to the range [0, 1. Beautiful Soup 3. Within the two brackets after the table name, you define the tables' columns, each column should have the following properties: A name, the column name it should be unique among the table's columns. Motivation: I have a large number of large read-only dicts with large string keys mapped to tuples of two floats. When I match the first file with second I end up with data frames of different lengths and hence I can't cbind them. pxd which is # currently part of the Cython distribution). If a Mx3 array-like, the rows define values (x, y0, y1). How to find range of data in Cell Scalar Array?. The official home of the Python Programming Language. An example showing how a custom colormap (or look up table) can be used for a given object. VOTableFile object, which can be used to retrieve and manipulate the data and save it back out to disk. The list of supported dtypes is: np. This NumPy tutorial will not only show you what NumPy arrays actually are and how you can install Python, but you’ll also learn how to make arrays (even when your data comes from files!), how broadcasting works, how you can ask for help, how to manipulate your arrays and how to visualize them. It mainly has two columns i. Project Management. clip equivalent function ndarray. Today we will use numpy to flatten the 3D terrain into a 2D map. 7, note that Python 2. Some inobvious examples of what you can do with numpy are collected here. lerp aims to supply lookup table facility in python on top of numpy. How to find range of data in Cell Scalar Array?. 7, note that Python 2. The Numpy library is the defacto standard for manipulating matrices and vectors (and higher order tensors) from within Python. Very nice and all, but it won't build against the SciPy source that I'll be using in the next step, so we need to build a fresh NumPy and to have it used instead of Apple's. A numpy array is homogeneous, and contains elements described by a dtype object. Pandas Cheat Sheet for Data Science in Python A quick guide to the basics of the Python data analysis library Pandas, including code samples. amin() | Find minimum value in Numpy Array and it's index January 27, 2019 Pandas : 6 Different ways to iterate over rows in a Dataframe & Update while iterating row by row March 9, 2019. Get instant coding help, build projects faster, and read programming tutorials from our community of developers. Lookup tables also often also include approximate polynomials for temperature lookup based on a given compensated emf value. axis int or None, optional. Then find the column number equal to the third digit of the mantissa. average() call then sums these array values and computes the average. In color mapping scalar values are mapped through a lookup table to a specific color. to a local variable to avoid the attribute look-up at each loop data type in Numpy is float_. We cache the functions for convenience. Certain NumPy array dtypes can be serialized to a binary format for performance and efficiency. An advantage of the DataFrame over a 2-dimensional NumPy array is that the DataFrame can have columns of various types within a single table. They are extracted from open source Python projects. votable is a vo. They are extracted from open source Python projects. If you want to use Python and an Oracle database, this tutorial helps you get started by giving examples. pandas is a NumFOCUS sponsored project. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. To accomplish this, one needs to be able to refer to elements of the arrays in many different ways, from simple "slices" to using arrays as lookup tables. Adds lookup tables to your optimization problem. Acknowledgements¶. class numpy. To get all table names in teradata SELECT * FROM dbc. NOTE : You can pass one or more iterable to the map() function. Mount tables can be parsed with getmntent and paths can be translated to device files (or whatever the actual quotactl implementations needs as argument) of the. edu is a platform for academics to share research papers. Numpy get index of max keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. Properties of Softmax Function. In this tutorial we will show how Dremio can be used to join data from JSON in S3 with other data sources to help derive further insights into the incident data from the city of San Francisco. 本業は組み込みエンジニア。たまに、画像処理エンジニア。兼、雑用。 機械学習勉強中。. Barometer Lookup Table python generator file. NumPy was originally developed in the mid 2000s, and arose from an even older package called Numeric. Python program that uses math. ndarrays (in both directions). NumPy is one of the most important scientific computing libraries available for Python. From Lists to 1-D Numpy Arrays. While an array can be used to construct hash tables, array indexes its elements using integers. As an adjacency matrix in numpy array format. As you can see from the above picture, that two new columns i. Other Python implementations (or older or still-under development versions of CPython) may have slightly different performance characteristics. Replacing values in pandas. APPLIES TO: SQL Server Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse You can rename a table column in SQL Server 2017 by using SQL Server Management Studio or Transact-SQL. Rene Brokop 3,198,687 views. Write a program that puts 5, 10, and "twenty" into a tuple. The x values must start with x=0, end with x=1, and all x values be in increasing order. numpy array lookup table. A hash value of the key is computed using a hash function. Lines 11 and 12 build this lookup table by looping over all pixel values in the range [0, 255]. array() will deduce the data type of the elements based on input passed. First of all, create a DataFrame object of students records i. You can use json_tricks. The input distribution is specified in terms of its CDF, which is defined by the values of the input y_table of the CDF evaluated at an input set of control points x_table. NumPy is, just like SciPy, Scikit-Learn, Pandas, etc. With the rise of Frameworks, Python is also becoming common for Web application development. SID)) def subblocks (self): """Return iterator over all SubBlock segments in file. interp¶ numpy. We are using elements of numpy to index lookuptable. Update notes (get rid of note about 12 support, 2. 0] followed by being raised to the power of the inverse gamma — this value is then stored in the table. apply table lookup to each element. In the following example, you will first create two Python lists. votable stores a Numpy masked array in each Table instance. lerp : Lookup Table¶ lerp aims to supply lookup table facility in python on top of numpy. The post #196 describes how to pick up a single color when working with python and matplotlib. It shares several folders with the family's Mac, Linux, and Windows computers. They are extracted from open source Python projects.