{"id":4244,"date":"2022-08-08T07:14:09","date_gmt":"2022-08-08T07:14:09","guid":{"rendered":"https:\/\/www.pythontutorial.net\/?page_id=4244"},"modified":"2022-08-16T03:32:03","modified_gmt":"2022-08-16T03:32:03","slug":"numpy-linspace","status":"publish","type":"page","link":"https:\/\/www.pythontutorial.net\/python-numpy\/numpy-linspace\/","title":{"rendered":"NumPy linspace()"},"content":{"rendered":"\n

Summary<\/strong>: in this tutorial, you’ll learn how to use the numpy linspace()<\/code> to create a new numpy array with evenly spaced numbers of a specified interval.<\/p>\n\n\n\n

Introduction to the numpy linspace() function #<\/a><\/h2>\n\n\n\n

The numpy linspace()<\/code> function creates a new numpy array<\/a> with evenly spaced numbers over a given interval:<\/p>\n\n\n

numpy.linspace(start, stop, num=50<\/span>, endpoint=True<\/span>, retstep=False<\/span>, dtype=None<\/span>, axis=0<\/span>)<\/code><\/span>Code language:<\/span> Python<\/span> (<\/span>python<\/span>)<\/span><\/small><\/pre>\n\n\n
For example, the following uses the linspace()<\/code> function to create a new array with five numbers between 1 and 2:<\/p>\n\n\n
import<\/span> numpy as<\/span> np\n\na = np.linspace(1<\/span>, 2<\/span>, 5<\/span>)\n\nprint(a)<\/code><\/span>Code language:<\/span> Python<\/span> (<\/span>python<\/span>)<\/span><\/small><\/pre>\n\n\n
Output:<\/p>\n\n\n
[1.<\/span>   1.25<\/span> 1.5<\/span>  1.75<\/span> 2.<\/span>  ]<\/code><\/span>Code language:<\/span> Python<\/span> (<\/span>python<\/span>)<\/span><\/small><\/pre>\n\n\n
If you don’t want to include the stop<\/code> value, you can exclude it using the endpoint<\/code> parameter. For example:<\/p>\n\n\n
import<\/span> numpy as<\/span> np\n\na = np.linspace(1<\/span>, 2<\/span>, 5<\/span>, endpoint=False<\/span>)\n\nprint(a)<\/code><\/span>Code language:<\/span> Python<\/span> (<\/span>python<\/span>)<\/span><\/small><\/pre>\n\n\n
Output:<\/p>\n\n\n
[1.<\/span>  1.2<\/span> 1.4<\/span> 1.6<\/span> 1.8<\/span>]<\/code><\/span>Code language:<\/span> Python<\/span> (<\/span>python<\/span>)<\/span><\/small><\/pre>\n\n\n
Note that the endpoint<\/code> is True<\/code> by default. Therefore, the linspace()<\/code> function returns the stop<\/code> as the last sample by default.<\/p>\n\n\n\n
Summary #<\/a><\/h2>\n\n\n\n
  • Use the numpy linspace()<\/code> function to create a numpy array with evenly spaced numbers over a given interval.<\/li><\/ul>\n
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The linspace()<\/code> works like the arange()<\/a><\/code> function. But instead of specifying the step size, it defines the number of elements in the interval between the start<\/code> and stop<\/code> values.<\/p>\n\n\n\n