Skip to main content

Metric Visualisation

Project description

# MetricVis

## Installing ` pip install metric-vis `

## Quickstart

` python from MetricVis import plot_week_month_trend import pandas as pd monthly_df = pd.read_csv('demo_data/monthly_data.csv') monthly_df.index = pd.to_datetime(monthly_df.Day) weekly_df = pd.read_csv('demo_data/weekly_data.csv') weekly_df.index = pd.to_datetime(weekly_df.Day) plot_week_month_trend(weekly_df = weekly_df, monthly_df = monthly_df, col_name = "Metric", month_lookback = 11) ` <img alt=”Weekly/Monthly Trend” src=”images/weekly_monthly_trend.png”>

` python from MetricVis import plot_actual_forecast import pandas as pd forecast_df = pd.read_csv('demo_data/forecast_data.csv') forecast_df.index = pd.to_datetime(forecast_df.Day) plot_actual_forecast(df = forecast_df, actual_col = "Metric", forecast_col = "Forecast", lookback = 8) ` <img alt=”Actual vs Forecast” src=”images/actual_vs_forecast.png”>

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

metric_vis-0.0.5-py2.py3-none-any.whl (5.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file metric_vis-0.0.5-py2.py3-none-any.whl.

File metadata

  • Download URL: metric_vis-0.0.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 5.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for metric_vis-0.0.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a6cc8eb2d556fcc0d7d36f0b7263d4af4ab44c181f13b88ff1ae3ba25426459c
MD5 66b33439df91938d7dbc64e2508e6600
BLAKE2b-256 b6c6daf8b1fd5a2779386d44f3d715f28cd848db531cf3c1e53c15461316db7a

See more details on using hashes here.

Supported by

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