

- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Return the minimum of an array or minimum ignoring any NaNs in Python
To return the minimum of an array or minimum ignoring any NaNs, use the numpy.nanmin() method in Python. The method returns an array with the same shape as a, with the specified axis removed. If a is a 0-d array, or if axis is None, an ndarray scalar is returned. The same dtype as a is returned. The 1st parameter, a is an array containing numbers whose minimum is desired. If a is not an array, a conversion is attempted.
The 2nd parameter, axis is an axis or axes along which the minimum is computed. The default is to compute the minimum of the flattened array. The 3rd parameter, out ia an alternate output array in which to place the result. The default is None; if provided, it must have the same shape as the expected output, but the type will be cast if necessary.
The 4th parameter, keepdims If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the original a. If the value is anything but the default, then keepdims will be passed through to the max method of sub-classes of ndarray. If the sub-classes methods does not implement keepdims any exceptions will be raised.
Steps
At first, import the required libraries −
import numpy as np
Creating a numpy array using the array() method. We have added elements of int type with nan −
arr = np.array([[10, 20, 30], [40, np.nan, 60]])
Display the array −
print("Our Array...\n",arr)
Check the Dimensions −
print("\nDimensions of our Array...\n",arr.ndim)
Get the Datatype −
print("\nDatatype of our Array object...\n",arr.dtype)
To return the minimum of an array or minimum ignoring any NaNs, use the numpy.nanmin() method −
print("\nResult (nanmin)...\n",np.nanmin(arr))
Example
import numpy as np # Creating a numpy array using the array() method # We have added elements of int type with nan arr = np.array([[10, 20, 30], [40, np.nan, 60]]) # Display the array print("Our Array...\n",arr) # Check the Dimensions print("\nDimensions of our Array...\n",arr.ndim) # Get the Datatype print("\nDatatype of our Array object...\n",arr.dtype) # To return the minimum of an array or minimum ignoring any NaNs, use the numpy.nanmin() method in Python # The method returns an array with the same shape as a, with the specified axis removed. If a is a 0-d array, or if axis is None, an ndarray scalar is returned. The same dtype as a is returned. print("\nResult (nanmin)...\n",np.nanmin(arr))
Output
Our Array... [[10. 20. 30.] [40. nan 60.]] Dimensions of our Array... 2 Datatype of our Array object... float64 Result (nanmin)... 10.0
- Related Questions & Answers
- Return the minimum of an array along an axis or minimum ignoring any NaNs in Python
- Return the minimum of an array along axis 0 or minimum ignoring any NaNs in Python
- Return the minimum of an array along axis 1 or minimum ignoring any NaNs in Python
- Return the minimum of an array with positive infinity or minimum ignoring any NaNs in Python
- Return the minimum of an array with negative infinity or minimum ignoring any NaNs in Python
- Return the maximum of an array or maximum ignoring any NaNs in Python
- Return the maximum of an array along an axis or maximum ignoring any NaNs in Python
- Return the maximum of an array with negative infinity or maximum ignoring any NaNs in Python
- Return the maximum of an array along axis 1 or maximum ignoring any NaNs in Python
- Return the maximum of an array with positive infinity or maximum ignoring any NaNs in Python
- Return the maximum of an array along axis 0 or maximum ignoring any NaNs in Python
- Compare two Numpy arrays and return the element-wise minimum ignoring NaNs
- Return an array of all the indices of minimum elements in the array in JavaScript
- Python - Return the minimum value of the Pandas Index
- Find minimum adjustment cost of an array in Python