Witryna14 sie 2013 · My best guess is that your data contains NaN values, or bad values. You could try to detect is with following piece of code: for i in range(1,len(x)): (f_val,p_val) = stats.f_oneway(x[:i],y[:i],z[:i]) if numpy.isnan(f_val) or numpy.isnan(p_val): print i-1,x[i-1],y[i-1],z[i-1],f_val,p_val ... you want to print the result of numpy.NaN.x? what is ... Witryna18 lip 2014 · 1 My data is: data= [ [2,2,2,2,2], [1,1,1,1,1], [3,3,3,3]] When I pass like this: bartlett (*data) It gives output as (nan,nan) Why? Thanks python statistics scipy statsmodels anova Share Follow edited Jul 17, 2014 at 18:29 CT Zhu 51.9k 17 119 131 asked Jul 17, 2014 at 16:18 icm 264 1 5 11 Add a comment 1 Answer Sorted by: 6
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Witryna11 lut 2024 · It will return nan if your date type for the y value is an object How to check y.dtype How to change the data type y = y.astype (int) Share Improve this answer Follow answered Aug 13, 2024 at 16:20 theEconCsEngineer 75 8 Add a comment 0 For my case, I had a time delta data type inside my numpy array that resulted in the error Share Witryna1 Answer. In Python, math.nan is a constant that represents "Not a Number". It is used to indicate that a mathematical operation does not have a valid result, typically because of an undefined or indeterminate value. For example, if you try to take the square root of a negative number using the math.sqrt function, the result will be nan: You ... bantuan rahmah 2023 bujang
python - P-Value to test hypothesis shows NaN - Stack Overflow
Witryna30 sty 2024 · The ways to check for NaN in Pandas DataFrame are as follows: Check for NaN with isnull ().values.any () method Count the NaN Using isnull ().sum () Method Check for NaN Using isnull ().sum ().any () Method Count the NaN Using isnull ().sum ().sum () Method Method 1: Using isnull ().values.any () method Example: Python3 … WitrynaУ меня есть CSV файл as, который я считываю в dataframe, ZoneMaterialName1,ZoneThickness1,ZoneMaterialName2,ZoneThickness2 ... Witryna15 lip 2024 · Use the any iterator to check if any of the variables is NaN. from math import isnan from collections import namedtuple MyData = namedtuple ('MyData', ['foo', 'bar', … prtu putta