HANDLING MISSING DATA
PROJECT 3, UCS633 - Data Analysis and Visualization
Nikhil Gupta
COE17
Roll number: 101703371
Output is the dataset which contains no missing values and this dataset is streamed to a new csv file whose name is provided by the user.
Installation
pip install hmvpack_NG
Note the name has an underscore not a hyphen. If installation gives error or package is not found after installing, install as sudo.
Recommended - test it out in a virtual environment.
To use via command line
The package contains two functions i.e there are two ways of handling missing data. First two arguments are same for accessing both functions.
- Deleting the row with missing values.
HMVcli infile.csv outfile.csv D
- Replacing the missing values by mean of the values of that particular feature
HMVcli infile.csv outfile.csv R
To use in .py script
For Deletion function ->
from hmvlib.models import delete_record
delete_record('infile.csv', 'oufile.csv')
For Replacement function ->
from hmvlib.models import replace_record
replace_record('infile.csv', 'oufile.csv')
Can email me for any issues or suggestions
1 maintainer
Metadata
1 maintainer
Release files for hmvpack-NG 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hmvpack-NG-0.0.3.tar.gz | 2.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hmvpack_NG-0.0.3-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 5.0 kB
Release files / hmvpack-NG-0.0.3.tar.gz
| Download URL | hmvpack-NG-0.0.3.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f6909ea81a1ff2935745ef4217e245e3177cc0d228aeb989f708cb4ef5a01fdd
|
|
BLAKE2b-256 checksum How to use checksums |
801d54fbaefa6bf55b858ed89168acf35d226e9684a159232b90cd8fbf096fb8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17
|
Release files / hmvpack_NG-0.0.3-py2-none-any.whl
| Download URL | hmvpack_NG-0.0.3-py2-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
5171a7e42d991d137576364aac4b8238eb237660f0eb1477433e94634398243d
|
|
BLAKE2b-256 checksum How to use checksums |
f7cf9de868d3aca2b495acb778b1eb850ecf9a1c81925652dd4604db58e4212f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17
|
Security for hmvpack-NG 0.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
