Skip to main content

No project description provided

Project description

DRAINAGE DISCHARGE EVENT ANALYSIS

Catches EVENTS separating the event flow from base flow

Instructions

''' pip install EVENT_PACKAGE - This allows you install the package in shells like anaconda and powershell '''

There are two such categories to this package

a. You have the daily event data that can be called when the discharge data is in the daily data resolution 'from EVENT_PACKAGE import daily_event'

b. You have the hourly event data that can be called when the discharge data is in the hourly data resolution 'from EVENT_PACKAGE import hourly_event'

DATA TYPES

This code would require that you input at least Three (3) data sets

DATA A - Discharge data

The Date in the first column of the CSV file

DATA B - DATES

The discharge data should be saved in a in the second column of the CSV file

DATA C - DATES

The concentration on the third column of the CSV file. if you do not have the concentration, fill up the column with '1's.

Hourly Date Format

hourly data should be of the form mm/dd/yy hh:mm example: 10/03/2025 2:00 (for October 3rd 2025 second hour (2nd hour)))

Note the time resolution is in the 24 hours scale 0:00 - 23:00

Daily Date Format

daily date should be in the form dd/mm/yy example: 10/01/2023 (for 10th January 2023)

Files names

The program asks for the name of the CSV file. Note!! - the file type ".csv" is important Example: if the file name is data.csv the code input should be 'data.csv' (Including the file type)

DATA ORGANIZATION IN THE CSV FILE

Daily

for daily data analysis, the data should be arranged in the format below

| Date | Drainage Discharge | Concentration | Water Table | Water Temp |

Note: You might not input all the date if for example you do not have Water table depth and/or Water Temp.

However, you must input the first 3 data columns must be filled.

If you do not have the Concentration data, fill up the column with '1'.

Example: Concentration 1 1 1 ...

b. event_data.txt for the daily drainage discharge TXT file

hourly data

for hourly data analysis, the data should be arranged in the format below

| Date | Drainage Discharge | Concentration | Water Table | Water Temp |

Note: You might not input all the date if for example you do not have Water table depth and/or Water Temp.

However, you must input the first 3 data columns must be filled.

If you do not have the Concentration data, fill up the column with '1'.

Example: Concentration 1 1 1 ...

Location of txt file

The CSV files should be save in the same folder as the code (Running script)

EXCUTE THE CODE

To excute the code you need to just call the package depending on what data you want to analyse

For Daily Event Analysis

from EVENT_PACKAGE import daily_event

hourly Event Analysis

from EVENT_PACKAGE import hourly_event

NOTES!!!!

  1. MISSING DATA DOES NOT AFFECT THE PLOT SO DO NOT WORRY ABOUT CLEANING MISSING DATA

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

event_package-0.2.1.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

event_package-0.2.1-py3-none-any.whl (3.3 kB view details)

Uploaded Python 3

File details

Details for the file event_package-0.2.1.tar.gz.

File metadata

  • Download URL: event_package-0.2.1.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for event_package-0.2.1.tar.gz
Algorithm Hash digest
SHA256 902367cf65b18864d403bf2a42746588a8012c0108b74c0f1cce66aeaf09954e
MD5 44df8f391c6fafe45446a78580e53e5c
BLAKE2b-256 6fef4bd7c25ffe9c5c51d7fdec5617ac157757f5f4404db0a5d43ec25a963aff

See more details on using hashes here.

File details

Details for the file event_package-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: event_package-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 3.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for event_package-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bcb3204de5c8772a949e71a82f74119ada768e358320c46705d885126b99ed5e
MD5 2dd7f7bcd6e396af4d99bd1f1b8d35a9
BLAKE2b-256 48c9e2dc8efcfc69e9e6b05279973b7e395af755d0e0bfbae8f2b12378acac36

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page