resampling Questions
2
Solved
I am using pandas 0.17.0 and have a df similar to this one:
df.head()
Out[339]:
A B C
DATE_TIME
2016-10-08 13:57:00 in 5.61 1
2016-10-08 14:02:00 in 8.05 1
2016-10-08 14:07:00 in 7.92 0
2016-10...
Moncada asked 30/8, 2016 at 4:57
13
I have run the same code(with packages I needed) before and it worked, not sure what's happening now. This show the error,
AttributeError: module 'PIL.Image' has no attribute 'Resampling'. Probably...
Raimes asked 4/4, 2022 at 13:36
2
I'm trying to use data.table/tidyverse to efficiently sample at two levels:
Level 1 is Hospital ID ( hospital_id )
Level 2 is Doctor ID ( doctor_id )
I need to first sample with replacement $N$ hos...
Triglyceride asked 7/7, 2023 at 5:26
1
In this SO Question bootstrapping by several groups and subgroups seemed to be easy using the broom::bootstrap function specifying the by_group argument with TRUE.
My desired output is a nested ti...
Middle asked 4/10, 2019 at 10:18
5
Solved
I am working on capturing and streaming audio to RTMP server at a moment. I work under MacOS (in Xcode), so for capturing audio sample-buffer I use AVFoundation-framework. But for encoding and stre...
Shirt asked 3/6, 2013 at 19:58
7
Solved
I have some JS that makes some manipulations with images. I want to have pixelart-like graphics, so I had to enlarge original images in graphics editor.
But I think it'd be good idea to make all th...
Tommy asked 18/10, 2011 at 14:57
2
I need to resample time series in node.js. So I would like to know whether there is a tool in javascript which works similar as pandas in Python?
Lets say I have data which looks similar to this e...
Mayest asked 30/9, 2018 at 8:59
3
Solved
Sample data:
import pandas as pd
import numpy as np
import datetime
data = {'value': [1,2,4,3], 'names': ['joe', 'bob', 'joe', 'bob']}
start, end = datetime.datetime(2015, 1, 1), datetime.datetim...
Micrometry asked 27/6, 2017 at 20:56
6
Solved
I'm writing some code that plays back WAV files at different speeds, so that the wave is either slower and lower-pitched, or faster and higher-pitched. I'm currently using simple linear interpolati...
Lupe asked 14/7, 2009 at 14:15
3
Solved
I am resampling a Pandas TimeSeries. The timeseries consist of binary values (it is a categorical variable) with no missing values, but after resampling NaNs appear. How is this possible?
I can't ...
Linalool asked 27/10, 2015 at 9:50
3
Solved
import pandas as pd
import numpy as np
dates = pd.date_range('20141229',periods=14, name='Day')
df = pd.DataFrame({'Sum1': [1667, 1229, 1360, 9232, 8866, 4083, 3671, 10085, 10005, 8730, 10056, 101...
Mayce asked 22/6, 2015 at 20:28
3
I am getting "can only concatenate list (not "MultiValue") to list" highlighting map (float portion, while running below resampling, this code is very commonly used throughout i...
Block asked 23/4, 2018 at 2:59
5
Solved
I have a dataset with 1400 obs and 19 columns. The Target variable has values 1 (value that I am most interested in) and 0. The distribution of classes shows imbalance (70:30).
Using the code below...
Exodus asked 7/7, 2021 at 19:28
2
Solved
import pandas as pd
mydata = [{'ID' : '10', 'Entry Date': '10/10/2016', 'Exit Date': '15/10/2016'},
{'ID' : '20', 'Entry Date': '10/10/2016', 'Exit Date': '18/10/2016'}]
mydata2 = [{'ID': '10', ...
Domino asked 12/10, 2016 at 11:6
8
Solved
I am looking for an algorithm that determines percentiles for live data capture.
For example, consider the development of a server application.
The server might have response times as follows:
17...
Plier asked 8/8, 2009 at 12:56
1
I'm trying to block bootstrap samples for Monte-Carlo simulation and need to generate a large array of index values (integers) containing blocks in Python. I need this to be very fast but cannot fi...
Teeters asked 20/7, 2021 at 23:32
7
Solved
Dataframe.resample() works only with timeseries data. I cannot find a way of getting every nth row from non-timeseries data. What is the best method?
Kylix asked 31/7, 2014 at 9:44
2
I am doing a text classification and I have very imbalanced data like
Category | Total Records
Cate1 | 950
Cate2 | 40
Cate3 | 10
Now I want to over sample Cate2 and Cate3 so it at least have 40...
Purusha asked 23/6, 2018 at 9:0
2
Solved
I want to perform N=1000 bootstrapping with replacement on gridded data. One computation takes about 0.5s. I have access to a supercomputer exclusive node with 48 cores. Because the resampling are ...
Arrant asked 23/5, 2019 at 18:36
4
Solved
Use xarray to resample to lower spatial resolution
I want to resample my xarray object to a lower spatial resolution (LESS PIXELS).
import pandas as pd
import numpy as np
import xarray as xr
time ...
Hyperacidity asked 21/12, 2018 at 14:7
4
Solved
Say I have a 10,000 pt vector that I want to take a slice of only 100 logarithmically spaced points. I want a function to give me integer values for the indices. Here's a simple solution that is si...
Consequent asked 14/9, 2012 at 4:40
3
Solved
I have a two time series in separate pandas.dataframe, the first one - series1 has less entries and different start datatime from the second - series2:
index1 = pd.date_range(start='2020-06-16 23:1...
Flanders asked 9/8, 2020 at 11:24
1
Solved
Problem
I need to reduce the length of a DataFrame to some externally defined integer (could be two rows, 10,000 rows, etc., but will always be a reduction in overall length), but I also want to ke...
Humiliate asked 16/7, 2020 at 15:2
2
Solved
I have this code:
from imblearn.over_sampling import ADASYN
Y = df.target
X = df.drop('target', axis=1)
ad = ADASYN()
X_adasyn, y_adasyn = ad.fit_sample(X, Y)
getting this error:
ValueError: N...
Valgus asked 12/5, 2019 at 14:18
4
Solved
I have the following 15 minute data as a dataframe for 3 years. With the first two columns being the index.
2014-01-01 00:15:00 1269.6
2014-01-01 00:30:00 1161.6
2014-01-01 00:45:00 1466.4
2014...
Fusibility asked 8/3, 2013 at 15:6
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