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Return each element of the masked array rounded to the nearest given number of decimals in NumPy
To return each element rounded to the given number of decimals, use the ma.MaskedArray.around() method in Numpy. Set the number of decimal places to round using the "decimals" parameter.
The decimals parameter is the number of decimal places to round to (default: 0). If decimals is negative, it specifies the number of positions to the left of the decimal point.
The out parameter is an alternative output array in which to place the result. It must have the same shape as the expected output, but the type of the output values will be cast if necessary. See Output type determination for more details.
The around() method returns an array of the same type as a, containing the rounded values. Unless out was specified, a new array is created. A reference to the result is returned.
Steps
At first, import the required library −
import numpy as np import numpy.ma as ma
Create an array with int elements using the numpy.array() method −
arr = np.array([[55.50, 85.35, 68.78, 84], [67.96, 33.35, 39.76, 53.20]])
print("Array...
", arr)
print("
Array type...
", arr.dtype)Get the dimensions of the Array −
print("Array Dimensions...
",arr.ndim)
Create a masked array and mask some of them as invalid −
maskArr = ma.masked_array(arr, mask =[[1, 1, 0, 0], [0, 1, 0, 0]])
print("
Our Masked Array
", maskArr)
print("
Our Masked Array type...
", maskArr.dtype)Get the dimensions of the Masked Array −
print("
Our Masked Array Dimensions...
",maskArr.ndim)
Get the shape of the Masked Array −
print("
Our Masked Array Shape...
",maskArr.shape)Get the number of elements of the Masked Array −
print("
Elements in the Masked Array...
",maskArr.size)
To return each element rounded to the given number of decimals, use the ma.MaskedArray.around() method in Numpy. Set the number of decimal places to round using the "decimals" parameter −
print("
Result...
", np.around(maskArr, decimals = 1))Example
import numpy as np
import numpy.ma as ma
# Create an array with int elements using the numpy.array() method
arr = np.array([[55.50, 85.35, 68.78, 84], [67.96, 33.35, 39.76, 53.20]])
print("Array...
", arr)
print("
Array type...
", arr.dtype)
# Get the dimensions of the Array
print("
Array Dimensions...
",arr.ndim)
# Create a masked array and mask some of them as invalid
maskArr = ma.masked_array(arr, mask =[[1, 1, 0, 0], [0, 1, 0, 0]])
print("
Our Masked Array
", maskArr)
print("
Our Masked Array type...
", maskArr.dtype)
# Get the dimensions of the Masked Array
print("
Our Masked Array Dimensions...
",maskArr.ndim)
# Get the shape of the Masked Array
print("
Our Masked Array Shape...
",maskArr.shape)
# Get the number of elements of the Masked Array
print("
Elements in the Masked Array...
",maskArr.size)
# To return each element rounded to the given number of decimals, use the ma.MaskedArray.around() method in Numpy.
# Set the number of decimal places to round using the "decimals" parameter
print("
Result...
", np.around(maskArr, decimals = 1))Output
Array... [[55.5 85.35 68.78 84. ] [67.96 33.35 39.76 53.2 ]] Array type... float64 Array Dimensions... 2 Our Masked Array [[-- -- 68.78 84.0] [67.96 -- 39.76 53.2]] Our Masked Array type... float64 Our Masked Array Dimensions... 2 Our Masked Array Shape... (2, 4) Elements in the Masked Array... 8 Result... [[-- -- 68.8 84.0] [68.0 -- 39.8 53.2]]
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