nan Questions

2

In rust, is there a version of f32 / f64 that implements Eq? The only reason I can see for f32 / f64 not implementing Eq is that NaN != NaN. Potential ways such a type could behave: The type could...
Chon asked 18/8, 2022 at 20:50

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i'm trying to predict next customer purchase to my job. I followed a guide, but when i tried to use cross_val_score() function, it returns NaN values.Google Colab notebook screenshot Variables: ...
Sorely asked 11/2, 2020 at 15:36

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I was asked to filter out NaN, null, 0, false in an array. Luckily I have answered the question. function bouncer(arr) { function filterer(arr) { return arr > 0|| isNaN(arr) === true; } a...
Landlordism asked 10/8, 2015 at 17:7

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In my test case, I assume that if two values are NaN then they are equal. What is the way to express it using unittest assertions? The two common functions presented below are not handling this cas...
Hitandrun asked 7/8, 2018 at 13:49

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pandas.DataFrame.to_dict converts nan to nan and null to None. As explained in Python comparison ignoring nan this is sometimes suboptimal. Is there a way to convert all nans to None? (either in p...
Aeriel asked 25/1, 2018 at 22:50

3

I have dictionary and created Pandas using cars = pd.DataFrame.from_dict(cars_dict, orient='index') and sorted the index (columns in alphabetical order cars = cars.sort_index(axis=1) After sortin...
Johnsiejohnson asked 23/2, 2018 at 21:56

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I came across the goog.math.isFiniteNumber function in the Google Closure Library. What it does is checking whether a given number is both finite and not NaN. The underlying code is: goog.math.is...
Terminable asked 16/4, 2011 at 22:29

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When doing const double d = std::nan ("Hello"); you get a NAN containing the string "Hello". How can one back out this string from the variable d? Is there simply no standard conforming wa...
Enlargement asked 16/8, 2018 at 7:41

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I have a dataframe with a column whose values look something like: YEAR_TORONTO 0 <NA> 1 2016 2 <NA> 3 1999 I need to check each element of this dataframe individually via a for loop ...
Hale asked 27/11, 2020 at 21:33

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I have a Pandas Dataframe as below: itm Date Amount 67 420 2012-09-30 00:00:00 65211 68 421 2012-09-09 00:00:00 29424 69 421 2012-09-16 00:00:00 29877 70 421 2012-09-23 00:00:00 30990 71 421 2012...
Hilltop asked 8/11, 2012 at 18:50

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Example import pandas as pd import numpy as np d = {'l': ['left', 'right', 'left', 'right', 'left', 'right'], 'r': ['right', 'left', 'right', 'left', 'right', 'left'], 'v': [-1, 1, -1, 1, -1, np...
Shalon asked 13/3, 2017 at 17:55

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Just out of curiosity. It doesn't seem very logical that typeof NaN is number. Just like NaN === NaN or NaN == NaN returning false, by the way. Is this one of the peculiarities of JavaScript, or wo...
Uranian asked 10/5, 2010 at 9:30

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I have a dataframe in which some rows contain missing values. In [31]: df.head() Out[31]: alpha1 alpha2 gamma1 gamma2 chi2min filename M66_MI_NSRh35d32kpoints.dat 0.8016 0.9283 1.000000 0.074...
Anelace asked 15/4, 2017 at 9:3

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I need to calculate the number of non-NaN elements in a numpy ndarray matrix. How would one efficiently do this in Python? Here is my simple code for achieving this: import numpy as np def numbe...
Rogue asked 14/2, 2014 at 11:26

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How do I create or test for NaN or infinite values in Perl?
Photochromy asked 26/7, 2009 at 23:5

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I have this DataFrame and want only the records whose EPS column is not NaN: STK_ID EPS cash STK_ID RPT_Date 601166 20111231 601166 NaN NaN 600036 20111231 600036 NaN 12 600016 20111231 600016 4....
Turco asked 16/11, 2012 at 9:17

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I read data from a .csv file to a Pandas dataframe as below. For one of the columns, namely id, I want to specify the column type as int. The problem is the id series has missing/empty values. Whe...
Jobina asked 22/1, 2014 at 15:51

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Is it possible to use numpy.nanargmin, so that it returns numpy.nan, on columns where there are only nans in them. Right now, it raises a ValueError, when that happens. And i cant use numpy.argmin,...
Rightward asked 11/3, 2014 at 9:49

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Given a pandas dataframe containing possible NaN values scattered here and there: Question: How do I determine which columns contain NaN values? In particular, can I get a list of the column names...
Jidda asked 25/3, 2016 at 18:50

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It seems to me that the code console.log(1 / 0) should return NaN, but instead it returns Infinity. However this code: console.log(0 / 0) does return NaN. Can someone help me to...
Horde asked 16/9, 2013 at 22:23

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I want to assign NaN to a tensor element. import torch x = torch.tensor([1, 2, 3]) x[x == 2] = None I have the error: TypeError: can't assign a NoneType to a torch.LongTensor I need it to make s...
Osmunda asked 16/2, 2021 at 1:21

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I was wondering if there are classifiers that handle nan/null values in scikit-learn. I thought random forest regressor handles this but I got an error when I call predict. X_train = np.array([[1,...
Halfcock asked 19/5, 2015 at 5:2

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Is there a quick way of replacing all NaN values in a numpy array with (say) the linearly interpolated values? For example, [1 1 1 nan nan 2 2 nan 0] would be converted into [1 1 1 1.3 1.6 2 ...
Nardi asked 29/6, 2011 at 9:58

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I am curious why a simple concatenation of two dataframes in pandas: initId.shape # (66441, 1) initId.isnull().sum() # 0 ypred.shape # (66441, 1) ypred.isnull().sum() # 0 of the same shape and bo...
Procedure asked 31/10, 2016 at 9:55

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import numpy as np import pandas as pd import tia.bbg.datamgr as dm mgr = dm.BbgDataManager() bb_yearb4 = "2016-12-30" bb_today = "2017-09-22" indices = [list of indices] sids_index = mgr[indices...
Macklin asked 22/9, 2017 at 16:43

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