Questions tagged [data-handling]

60 questions
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Get the row and column for empty cell using pandas

I am trying to fetch xls file which contains empty cells. I need to validate the xls file using pandas to get row and column position Expected output: The row 2, col 2 has empty value [OR] Tenant ID is not found for Account1
sangeeth kumar
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Handling data containing comma in a CSV file

I have a CSV File that I am trying to read from Amazon S3 in Mosaic Decisions. This file contains an Address column in which the data itself contains a comma. Example data in the file is shown below: Address sl,name,address 1,Ratan Kumar,FlatNo…
V Ruvesh
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How to groupby and pivot a dataframe with non-numeric values

I'm using Python, and I have a dataset of 6 columns, R, Rc, J, T, Ca and Cb. I need to "aggregate" on the columns "R" then "J", so that for each R, each row is a unique "J". Rc is a characteristic of R. Ca and Cb are characteristics of T. It will…
nielsen
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Tensorflow Dataset using many compressed numpy files

I have a large dataset that I would like to use for training in Tensorflow. The data is stored in compressed numpy format (using numpy.savez_compressed). There are variable numbers of images per file due to the way they are produced. Currently I…
Taylor Childers
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it it possible to make a function return true, false or a list of objects?

Introduction to the program I'm working on a program which stores data like the following: - Facts: A combination of a list of properties (or just one) and a true/false value(called the "truth" value). For example: parent('John' , 'John jr') ,…
BRHSM
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C# Adding points to Chart in realtime

I have got an question about adding points to charts. My windows forms application is using a thread to get the Y value from another server. Every 500ms I get a new value(string) which should be added as a point, but I have no idea how to do that.…
Tim B.
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Efficiently removing calibration rolls and replacing them with NaN's

Here is an image that represents Magnetic Field Data that, near the y=0 axis, the data varies as it should. However, there are clear occurrences in which the varied data transitions into oscillations that easily stand out. These large and…
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xarray .where() function is too slow over datasets

I am using .where() function to select time and certain criteria in xarray dataset. import numpy as np import xarray as xr ds1 = xr.open_dataset('COD.nc') ds2 = xr.open_dataset('CDNC.nc') ds3 = xr.open_dataset('LWP.nc') ds4 =…
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Numpy arrays best way to handle data

I have a set of files for different temperatures and have been having issues with how to store the data I need in NumPy arrays. Let's say I have a range of temperatures temperatures = [8,10,12,...] and need to store each file's first and second…
valit
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csv file data appending using python

I've been trying to append certain data from input.csv to output.csv using python. My code is as under: import csv from csv import writer from csv import reader csvPath = r'C:\Users\Nitin…
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I am trying to create a specific html structure using javasacript dyanamically, but don't know how to do it

I fetching some data with api and want o use them and show them on my HTML page using pure javascript. My current HTML:
My expected structure to use API data:
user17504907
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Why xml file 'text string' looks encoded after writing with python?

I tried to open XML with notepad, word-pad and notepad++ but it looks encoded into some kind of hashtag strings. But it shows actual data when open with almost any browser like edge, Firefox, explorer. I don't know where i goes wrong. Here is the…
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How to group months column in a data frame in R

I have a data frame in the following fashion : Year <- 1948:2017 Jan<- rnorm(70) Feb<- rnorm(70) Mar<- rnorm(70) Apr<- rnorm(70) May<- rnorm(70) Jun<- rnorm(70) Jul<- rnorm(70) Aug<- rnorm(70) Sep<- rnorm(70) Oct<- rnorm(70) Nov<- rnorm(70) Dec<-…
Sayantan4796
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Multiplying columns from different dataframes with different lengths and two conditions in R

I have two data frames with different lengths. I want to mutate the columns in data frame df with the multiplication of CAP * currency and Go * currency from df_cur. This should be done with the conditions that country and Year must be the same for…
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