# Python | Replace negative value with zero in numpy array

Given numpy array, the task is to replace negative value with zero in numpy array. Let’s see a few examples of this problem.

Method #1: Naive Method

 `# Python code to demonstrate ` `# to replace negative value with 0 ` `import` `numpy as np ` ` `  `ini_array1 ``=` `np.array([``1``, ``2``, ``-``3``, ``4``, ``-``5``, ``-``6``]) ` ` `  `# printing initial arrays ` `print``(``"initial array"``, ini_array1) ` ` `  `# code to replace all negative value with 0 ` `ini_array1[ini_array1<``0``] ``=` `0` ` `  `# printing result ` `print``(``"New resulting array: "``, ini_array1) `

Output:

```initial array [ 1  2 -3  4 -5 -6]
New resulting array:  [1 2 0 4 0 0]
```

Method #2: Using `np.where`

 `# Python code to demonstrate ` `# to replace negative values with 0 ` `import` `numpy as np ` ` `  `ini_array1 ``=` `np.array([``1``, ``2``, ``-``3``, ``4``, ``-``5``, ``-``6``]) ` ` `  `# printing initial arrays ` `print``(``"initial array"``, ini_array1) ` ` `  `# code to replace all negative value with 0 ` `result ``=` `np.where(ini_array1<``0``, ``0``, ini_array1) ` ` `  `# printing result ` `print``(``"New resulting array: "``, result) `

Output:

```initial array [ 1  2 -3  4 -5 -6]
New resulting array:  [1 2 0 4 0 0]
```

Method #3: Using `np.clip`

 `# Python code to demonstrate ` `# to replace negative values with 0 ` `import` `numpy as np ` ` `  `# supposing maxx value array can hold ` `maxx ``=` `1000` ` `  `ini_array1 ``=` `np.array([``1``, ``2``, ``-``3``, ``4``, ``-``5``, ``-``6``]) ` ` `  `# printing initial arrays ` `print``(``"initial array"``, ini_array1) ` ` `  `# code to replace all negative value with 0 ` `result ``=` `np.clip(ini_array1, ``0``, ``1000``) ` ` `  `# printing result ` `print``(``"New resulting array: "``, result) `

Output:

```initial array [ 1  2 -3  4 -5 -6]
New resulting array:  [1 2 0 4 0 0]
```

Method #4: Comparing the given array with an array of zeros and write in the maximum value from the two arrays as the output.

 `# Python code to demonstrate ` `# to replace negative values with 0 ` `import` `numpy as np ` `  `  `ini_array1 ``=` `np.array([``1``, ``2``, ``-``3``, ``4``, ``-``5``, ``-``6``]) ` `  `  `# printing initial arrays ` `print``(``"initial array"``, ini_array1) ` `  `  `# Creating a array of 0 ` `zero_array ``=` `np.zeros(ini_array1.shape, dtype``=``ini_array1.dtype) ` `print``(``"Zero array"``, zero_array) ` ` `  `# code to replace all negative value with 0 ` `ini_array2 ``=` `np.maximum(ini_array1, zero_array) ` ` `  `# printing result ` `print``(``"New resulting array: "``, ini_array2) `

Output:

```initial array [ 1  2 -3  4 -5 -6]
Zero array [0 0 0 0 0 0]
New resulting array:  [1 2 0 4 0 0]
```

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