Metric Visualisation
Project description
# MetricVis https://www.holistics.io/blog/how-amazon-measures/
## 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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for metric_vis-0.0.8-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f7ada55b6709402a261e76b3d7a8e398de1ede451a6afd3f219b51cc056e4ed |
|
MD5 | 5e83a7a1ee93c936754e637311eaac89 |
|
BLAKE2b-256 | 449aac73a703908093b2c47a0d4071fd00f99428110104b01a9e517ed827e985 |