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What is python's equivalent of R's NA?
To be more specific: R has NaN, NA, NULL, Inf and -Inf. NA is generally used when there is missing data. What is python's equivalent?
How libraries such as numpy and pandas handle missing values?
How does scikit-learn handle missing values?
Is it different for python 2.7 and python 3?
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What is python's equivalent of R's NA? To be more specific: R has NaN, NA, NULL, Inf and -Inf. NA is generally used when there is missing data.
None: None is a Python singleton object that is often used for missing data in Python code. NaN : NaN (an acronym for Not a Number), is a special floating-point value recognized by all systems that use the standard IEEE floating-point representation.
NaN stands for Not A Number and is one of the common ways to represent the missing value in the data. It is a special floating-point value and cannot be converted to any other type than float. NaN value is one of the major problems in Data Analysis.
If there is a certain row with missing data, then you can delete the entire row with all the features in that row. axis=1 is used to drop the column with `NaN` values. axis=0 is used to drop the row with `NaN` values. In this case, see that we are able to achieve better accuracy than before.
nan in numpy is handled well with many functions:
>>> import numpy as np >>> a = [1, np.nan, 2, 3] >>> np.nanmean(a) 2.0 >>> np.nansum(a) 6.0 >>> np.isnan(a) array([False, True, False, False], dtype=bool) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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