# Python | Numpy np.lagder() method

`np.lagroots()` method is used to differentiate a Laguerre series.

Syntax : `np.lagder(c, m=1, scl=1, axis=0)`
Parameters:
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.
m :[int, optional] Number of derivatives taken, must be non-negative.Default is 1.
scl :[scalar, optional] Each differentiation is multiplied by scl .Default is 1.
axis :[ int, optional] Axis over which the derivative is taken.Default is 0.

Return : [ndarray] Laguerre series of the derivative.

Code #1 :

 `# Python program explaining ` `# numpy.lagder() method  ` `   `  `# importing numpy as np   ` `# and numpy.polynomial.laguerre module as geek  ` `import` `numpy as np  ` `import` `numpy.polynomial.laguerre as geek ` `   `  `# Input laguerre series coefficients ` ` `  `s ``=` `(``2``, ``4``, ``8``)  ` `    `  `# using np.lagder() method  ` `res ``=` `geek.lagder(s)  ` ` `  `# Resulting laguerre series coefficient ` `print` `(res)  `

Output:

```[-12.  -8.]
```

Code #2 :

 `# Python program explaining ` `# numpy.lagder() method  ` `   `  `# importing numpy as np   ` `# and numpy.polynomial.laguerre module as geek  ` `import` `numpy as np  ` `import` `numpy.polynomial.laguerre as geek ` `   `  `# Laguerre series coefficients ` `s ``=` `(``1``, ``2``, ``3``, ``4``, ``5``)  ` ` `  `   `  `# using np.lagder() method  ` `res ``=` `geek.lagder(s, m ``=` `2``, scl ``=` `0.5``)  ` ` `  `# Resulting laguerre series ` `print` `(res)  `

Output:

```[ 6.5   3.5   1.25]

```

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