paperwork | Personal document manager | Computer Vision library
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kandi X-RAY | paperwork Summary
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of paperwork
paperwork Key Features
paperwork Examples and Code Snippets
Rscript step2_seurat_mergeReplicates_new.R
Rscript step3_seurat_clustering_new.R
Rscript step4_seurat_makerExpression.R
Rscript step5_velocyto.R
python velocyto.test.py
Rscript step6_seurat_subclustering.R
Rscript step7_geneSet_score.R
Rscript
bash wget.sh
bash fastqdump_batch.sh
bash fastq2sam_batch.sh
bash dropseq_batch_align.sh
bash dropseq_batch_count.sh
velocyto run -b an002.filtered.cellbarcode.tsv -o ../velocyto/bamfiles/ -m mm10_rmsk.gtf -@ 20 ../velocyto/bamfiles/SRR6814853.ba
Community Discussions
Trending Discussions on paperwork
QUESTION
I've created a multi-sheet workbook that has Manifest Data (Sheet1), Sammy (Sheet2), Trev (sheet3), Scan Data In (Sheet4). On each of the worksheets is a column labeled Connote and the data within cells of the column relates to a barcode on the paperwork we use. When I open a drivers worksheet i will scan the barcode from the paperwork and information will be pulled from the Manifest Sheet as well Time/Date Stamping using VBA. But what I'm trying to do is pull the drivers name which is in a cell on their worksheet back to the Manifest Data sheet which relates to the connote they have just scanned. I'm happy to upload the working sheet if required. Manifest Data Sheet Drivers Sheet https://1drv.ms/x/s!AiXQNwMzQ3OrnCxn4D54gpnBH9V0?e=fxsTnz
...ANSWER
Answered 2021-Jun-13 at 06:31QUICK & DIRECT but limited (update)
Include following function in Manifest under the driver column (assuming driver names are Sammy, Jose, Ian, Tame, etc.):
QUESTION
I thought I had everything covered, but I'm now having issues with flip boxes working on Mac. I was able to make them compatible with different browsers on phones. I had someone with a Mac say that they were having problems with the animation. I heard that they saw a weird blinking and can see the front of the card through the back. I'm not sure what I'm missing. The last time I had this issue was with iOS, but I was just missing one line of code. Any suggestions? Honestly, I'm winging this as I go and can use any guidance.
...ANSWER
Answered 2021-May-08 at 14:47Answer: justify-content: center;
(You had a typo)
QUESTION
I don't really have any background of HTML or CSS. I've been figuring out how to change existing codes to help make sections of a website. The only issue is that I can't make it mobile-friendly. I made a code to create 8 flip boxes that work when you visit the website on a computer. However, they don't work so well on mobile. I don't really know what I'm doing, but is there anyway I can align the 8 boxes in one column for mobile use and use touch to make them flip? Thanks!
...ANSWER
Answered 2021-Apr-28 at 00:33For making it responsive to mobile use media queries: https://www.w3schools.com/css/css_rwd_mediaqueries.asp
Also, hover on mobile acts like a touch input so I don't think you have a problem with that
QUESTION
Please add a minimum comment on your thoughts so that I can improve my query. Thank you. -)
I'm trying to understand and implement a research work on Triple Attention Learning, which consists on
...ANSWER
Answered 2021-Mar-02 at 00:56When paper introduce they method they said:
The attention modules aim to exploit the relationship between disease labels and (1) diagnosis-specific feature channels, (2) diagnosis-specific locations on images (i.e. the regions of thoracic abnormalities), and (3) diagnosis-specific scales of the feature maps.
(1), (2), (3) corresponding to channel-wise attention, element-wise attention, scale-wise attention
We can tell that element-wise attention is for deal with disease location & weight info, i.e: at each location on image, how likely there is a disease, as it been mention again when paper introduce the element-wise attention:
The element-wise attention learning aims to enhance the sensitivity of feature representations to thoracic abnormal regions, while suppressing the activations when there is no abnormality.
OK, we could easily get location & weight info for one disease, but we have multiple disease:
Since there are multiple thoracic diseases, we choose to estimate an element-wise attention map for each category in this work.
We could store the multiple disease location & weight info by using a tensor A
with shape (height, width, number of disease)
:
The all-category attention map is denoted by A ∈ RH×W×C, where each element aijc is expected to represent the relative importance at location (i, j) for identifying the c-th category of thoracic abnormalities.
And we have linear classifiers for produce a tensor S
with same shape as A
, this can be interpret as:
At each location on feature maps X(CA)
, how confident those linear classifiers think there is certain disease at that location
Now we element-wise multiply S
and A
to get M
, i.e we are:
prevent the attention maps from paying unnecessary attention to those location with non-existent labels
So after all those, we get tensor M
which tells us:
location & weight info about certain disease that linear classifiers are confident about it
Then if we do global average pooling
over M
, we get prediction of weight for each disease, add another softmax
(or sigmoid
) we could get prediction of probability for each disease
Now since we have label and prediction, so, naturally we could minimizing loss function to optimize the model.
ImplementationFollowing code is tested on colab and will show you how to implement channel-wise attention and element-wise attention, and build and training a simple model base on your code with DenseNet121 and without scale-wise attention:
QUESTION
I'm trying to write a batch file to update our paperwork folders for the new year, and I can't find a way to make this a one-click operation. I've got around a hundred folders all containing the following folders:
- 2020
- Archive
- 2018
- 2019
I need to move the 2020 folder (and all its contents) to the archive and create a new 2021 folder in its place. I'm using robocopy to do this in each individual folder, but I haven't been able to find a way to have the script go to the next folder when it's done. Making things more complicated, the top-level folders have no set naming structure.
Edit: adding my code
...ANSWER
Answered 2021-Jan-04 at 03:45@ECHO OFF
SETLOCAL
rem The following settings for the source directory, destination directory, target directory,
rem batch directory, filenames, output filename and temporary filename [if shown] are names
rem that I use for testing and deliberately include names which include spaces to make sure
rem that the process works using such names. These will need to be changed to suit your situation.
SET "sourcedir=u:\your files"
FOR /f "delims=" %%a IN (
'dir /b /s /ad "%sourcedir%\2020" '
) DO (
MD "%%~dpa2021" >NUL 2>nul
MD "%%~dpaArchive" >NUL 2>nul
MOVE "%%a" "%%~dpaArchive\" >NUL 2>nul
)
GOTO :EOF
QUESTION
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#reading data
data = pd.read_csv('Malicious_or_criminal_attacks_breakdown-Top_five_industry_sectors_July-Dec-2019.csv',index_col=0,engine='python')
df = pd.DataFrame(data)
#df list for data
df.values.tolist()
#construction of group bar chart
labels = ('Cyber incident', 'Theft of paperwork or data storagedevice', 'Rogue employee', 'Social engineering / impersonation')
colors = ['red', 'yellow', 'blue', 'green']
data = df.values.tolist()
arr = np.array(data)
n_groups, n_colors = arr.shape
width = 0.2
x_pos = np.arange(n_colors)
fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(14, 5), dpi=100)
for i in range(n_groups):
plt.bar(x_pos + i*width, arr[i, :], width, align='center', label=labels[i], color=colors[i])
ax.set_xlabel("the top five industry sectors")
ax.set_ylabel("Number of attack")
ax.set_title("Type of attack by top five industry sectors")
ax.set_xticks(x_pos+width/2)
ax.set_xticklabels(colors)
ax.legend()
...ANSWER
Answered 2020-Dec-21 at 18:28Ax
is an array of subplots because you created more than one. So in order to set the titles of the subplots, you need to iterate through them as well. You could fix this fairly easily like so:
QUESTION
I'm downloading two files from a C-More industrial HMI FTP server. I don't know what OS the HMI is running but I suspect that its FTP server has some quirks. Using Jython 2.7, one file can be read without difficulty but the other has a space in the file name and the normal wrap-in-quotes solution doesn't work - yet.
The following works in the Windows 10 FTP client.
...ANSWER
Answered 2020-Dec-21 at 13:53The ftplib has no issue with spaces. The problem are the quotes you add to the RETR
command. There should be no quotes:
QUESTION
I am using Vue.Js and also using Nuxt.js as framework, and language is TypeScript. I really want to make the table like following using below data.
...ANSWER
Answered 2020-Dec-16 at 17:23There are three problems:
Though
newItems
is an array, thev-for
iterates it using 3 arguments, which is a syntax only for iterating objects. Sotid
is undefined everywhere in the loop. You can find it onitem.tid
instead.You've tried to access
item.index
in one of thes
but theitems
don't have anindex
property, they have onlytid
andtname
:
QUESTION
Say I have the following CSV data in input.txt
:
ANSWER
Answered 2020-Dec-07 at 07:21Here's a jq solution that assumes the CSV input is very simple (e.g., no field has embedded commas), followed by a brief explanation.
To handle arbitrary CSV, you could use a CSV-to-TSV conversion tool in conjunction with the jq program given below with trivial modifications.
A SolutionThe following jq program assumes jq is invoked with the -R option.
(The -n option should not be used as the header row is read without using input
.)
QUESTION
I have a running python script that imports one xlsx file that my co-workers update on a daily basis. My script runs on task scheduler and pulls in this excel file, reads the multiple sheets, sets the header names, and then exports each sheet to an individual folder and excel file that are shared with others in our organization.
The problem I am having is the new xlsx file columns aren't sized at all. Ideally I would like them to be set at a certain width across all columns for ease of use/readability. I have searched high and low looking for a way to read in multiple sheets and export each sheet with column formatting in openpyxl and writer. Anyone have any ideas that may be helpful? Thanks for any help!
Section of code: the rest of the code for the multiple sheets look the same...
...ANSWER
Answered 2020-Nov-13 at 18:18import pandas as pd
from pandas import option_context
## List column names for 15 and 16 column sheets
gt_cols16 = ['Patient Name', 'Move In Date', 'Addendum Paperwork', 'Consent Paperwork', 'Authorization Paperwork', 'Paperwork Mailed', 'SOC Pioneer IHP', 'SOC HH', 'SOC Hospice', 'SOC OP', 'SOC Pioneer PCP', 'Plan of Care Sent', 'Covid 19 Positive', 'Covid 19 Last Test Date', 'Would have moved out without services?', 'Notes/Story']
gt_cols15 = ['Patient Name', 'Move In Date', 'Addendum Paperwork', 'Consent Paperwork', 'Authorization Paperwork', 'SOC Pioneer IHP', 'SOC HH', 'SOC Hospice', 'SOC OP', 'SOC Pioneer PCP', 'Plan of Care Sent', 'Covid 19 Positive', 'Covid 19 Last Test Date', 'Would have moved out without services?', 'Notes/Story']
##Define Excel to use
xls = pd.ExcelFile('Grace Tracking.xlsx')
sheet_names = xls.sheet_names
for names_ in sheet_names:
df1 = pd.read_excel(xls, sheet_name=names_)
df1.columns = gt_cols16
df1 = df1.iloc[1:]
df1.to_excel('{}/{}.xlsx'.format(names_), index=False)
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Install paperwork
You can use paperwork like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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