# Python | Numpy np.leg2poly() method

`np.leg2poly()` method is used to convert a legendre series to a polynomial.

Syntax : `np.leg2poly(c)`
Parameters:
c :[array_like] 1-D arrays of legendre series coefficients ordered from low to high.

Return : [ndarray] 1-D array containing the coefficients of the equivalent polynomial.

Code #1 :

 `# Python program explaining ` `# numpy.leg2poly() method  ` `   `  `# importing numpy as np   ` `# and numpy.polynomial.legendre module as geek  ` `import` `numpy as np  ` `import` `numpy.polynomial.legendre as geek ` `   `  `# Input legendre series coefficients ` ` `  `c ``=` `np.array([``0.1``, ``0.2``, ``0.3``, ``0.4``, ``0.5``])  ` `    `  `# using np.leg2poly() method  ` `res ``=` `geek.leg2poly(c)  ` ` `  `# Resulting equivalent polynomial series coefficient ` `print` `(res)  `

Output:

```[ 0.1375 -0.4    -1.425   1.      2.1875]
```

Code #2 :

 `# Python program explaining ` `# numpy.leg2poly() method  ` `   `  `# importing numpy as np   ` `# and numpy.polynomial.legendre module as geek  ` `import` `numpy as np  ` `import` `numpy.polynomial.legendre as geek ` `   `  `# Input legendre series coefficients ` ` `  `c ``=` `( ``1``, ``2``, ``3``, ``4``, ``5``) ` `    `  `# using np.leg2poly() method  ` `res ``=` `geek.leg2poly(c)  ` ` `  `# Resulting equivalent polynomial series coefficient ` `print` `(res)  `

Output:

```[  1.375  -4.    -14.25   10.     21.875]

```

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