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...
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
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...
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...
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...
2
Solved
3
Solved
Select non-null rows from a specific column in a DataFrame and take a sub-selection of other columns
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...
10
Solved
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...
2
Solved
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>...
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:
>>...
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...
10
Solved
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/...
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...
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...
5
Solved
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...
9
Solved
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,...
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...
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...
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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