nan Questions

5

Solved

While trying to work on a project with pandas I have run into a problem. I had a list with a nan value in it and I couldn’t remove it. I have tried: incoms=data['int_income'].unique().tolist() inco...
Heavyladen asked 15/8, 2017 at 14:47

4

Solved

Accessing an HTML5 audio element (a .ogg file) with JavaScript in Chrome. The file does play properly, yet somehow it will not recognize the duration. I just cribbed this code: https://www.w3scho...
Superheterodyne asked 17/6, 2017 at 23:39

4

Solved

How to filter out NaN in pytdantic float validation? from pydantic import BaseModel class MySchema(BaseModel): float_value: float
Gist asked 2/6, 2022 at 7:49

8

Solved

I have a NumPy array a like the following: >>> str(a) '[ nan nan nan 1.44955726 1.44628034 1.44409573\n 1.4408188 1.43657094 1.43171624 1.42649744 1.42200684 1.42117704\n 1.42040255 1.419...
Unsegregated asked 2/3, 2012 at 17:17

3

Solved

I have a pandas DataFrame, with many NAN values in it. How can I drop columns such that number_of_na_values > 2000? I tried to do it like that: toRemove = set() naNumbersPerColumn = df.isnul...
Lannielanning asked 24/7, 2015 at 15:49

2

Solved

I wrote a python script below: import numpy as np arr = np.arange(6).reshape(2, 3) arr[arr==0]=['nan'] print arr But I got this error: Traceback (most recent call last): File "C:\Users\Desk...
Honewort asked 5/1, 2015 at 11:10

2

Solved

I am looking to replace a number with NaN in numpy and am looking for a function like numpy.nan_to_num, except in reverse. The number is likely to change as different arrays are processed because e...
Northey asked 15/7, 2011 at 1:8

3

Solved

I have a dataframe which has several columns, so I chose some of its columns to create a variable like this. xtrain = df[['Age', 'Fare', 'Group_Size', 'deck', 'Pclass', 'Title']] I want to drop fr...
Dower asked 27/12, 2016 at 0:6

10

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I have a numerical method that could return nan or inf if there was an error, and for testing purposed I'd like to temporarily force it to return nan or inf to ensure the situation is being handled...
Amide asked 17/12, 2009 at 18:57

2

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We have special functions like std::nanl to make a NaN with a payload. Currently here's what I have to do to print it back: #include <iostream> #include <cmath> #include <cstring&gt...
Hadleigh asked 2/4, 2016 at 11:47

5

Solved

Let's say I have the following pandas DataFrame: import pandas as pd import numpy as np df = pd.DataFrame({"A": [1, np.nan, 2], "B": [5, 6, 0]}) Which would look like: >>...
Larrup asked 22/11, 2017 at 16:53

1

2021-03-09 I trained my transformer models in pytrorch. In the first few batches, the loss calculation and gradient updates were all performing well. However, the output of the model turned out to ...
Pressman asked 9/3, 2021 at 6:42

2

Solved

I've got a dataset with a big number of rows. Some of the values are NaN, like this: In [91]: df Out[91]: 1 3 1 1 1 1 3 1 1 1 2 3 1 1 1 1 1 NaN NaN NaN 1 3 1 1 1 1 1 1 1 1 And I want to coun...
Karankaras asked 5/5, 2015 at 17:14

10

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I'd like to replace bad values in a column of a dataframe by NaN's. mydata = {'x' : [10, 50, 18, 32, 47, 20], 'y' : ['12', '11', 'N/A', '13', '15', 'N/A']} df = pd.DataFrame(mydata) df[df.y == 'N/...
Coquillage asked 14/1, 2016 at 16:0

4

Solved

I've got functions, which sometimes return NaNs with float('nan') (I'm not using numpy). How do I write a test for it, since assertEqual(nan_value, float('nan')) is just like float('nan') == fl...
Jamarjamb asked 3/6, 2013 at 6:13

3

Solved

Is there any difference between np.Nan and np.nan? As per my understanding both are used for null values but if you look here import numpy as np import pandas as pd import matplotlib.pyplot as plt...
Genital asked 22/11, 2018 at 18:14

10

Solved

Suppose I have a DataFrame with some NaNs: >>> import pandas as pd >>> df = pd.DataFrame([[1, 2, 3], [4, None, None], [None, None, 9]]) >>> df 0 1 2 0 1 2 3 1 4 NaN NaN...
Skivvy asked 12/1, 2015 at 15:22

3

Solved

I would like to find where None is found in the dataframe. pd.DataFrame([None,np.nan]).isnull() OUT: 0 0 True 1 True isnull() finds both numpy Nan and None values. I only want the None values...
Petitionary asked 24/7, 2017 at 1:4

5

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I am stuck trying to find out why these two operations return different values: Double.NaN == Double.NaN returns false Double.NaN.Equals(Double.NaN) returns true I have the answer to the first...
Cultism asked 22/1, 2013 at 12:45

9

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As per my understanding NaN stands for Not A Number. Strings are not definitely Numbers and hence I expect the below code to return true for Strings. However, it's not the case. console.log(Nu...
Harrus asked 10/7, 2017 at 12:1

11

Say I have data.frame a I use m.fit <- lm(col2 ~ col3 * col4, na.action = na.exclude) col2 has some NA values, col3 and col4 have values less than 1. I keep getting Error in lm.fit(x, y,...
Kaja asked 7/12, 2011 at 13:6

7

Solved

I am trying to convert a csv into numpy array. In the numpy array, I am replacing few elements with NaN. Then, I wanted to find the indices of the NaN elements in the numpy array. The code is : im...
Carriecarrier asked 5/10, 2018 at 1:45

7

Solved

I have table x: website 0 http://www.google.com/ 1 http://www.yahoo.com 2 None I want to replace python None with pandas NaN. I tried: x.replace(to_replace=None, value=np.nan) But I got: Ty...
Hydranth asked 19/5, 2014 at 17:10

3

Solved

Consider the following situation: In [2]: a = pd.Series([1,2,3,4,'.']) In [3]: a Out[3]: 0 1 1 2 2 3 3 4 4 . dtype: object In [8]: a.astype('float64', raise_on_error = False) Out[8]: 0 1...
Fag asked 20/9, 2014 at 20:1

33

Solved

I’ve only been trying it in Firefox’s JavaScript console, but neither of the following statements return true: parseFloat('geoff') == NaN; parseFloat('geoff') == Number.NaN;
Ardisardisj asked 16/4, 2010 at 10:56

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