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Steps in 2024
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| import pandas as pd | |
| TARGET = 5_000_000 | |
| TARGET_RATE = TARGET / 366 | |
| data = [ | |
| ('January', 31, 271_347), | |
| ('February', 29, 321_084), | |
| ('March', 31, 424_562), | |
| ('April', 30, 412_478), | |
| ('May', 31, 442_295), | |
| ('June', 30, 436_819), | |
| ('July', 31, 406_350), | |
| ('August', 31, 378_630), | |
| ('September', 7, 110_786), | |
| ] | |
| data = pd.DataFrame(data, columns=['Month', 'Days', 'Steps']) | |
| data['TotalSteps'] = data['Steps'].cumsum() | |
| data['TotalDays'] = data['Days'].cumsum() | |
| data['MonthRate'] = data.eval('(Steps/Days)/@TARGET_RATE') | |
| data['Deficit'] = data.eval('TotalSteps - @TARGET_RATE * TotalDays').astype(int) | |
| data['CummRate'] = data.eval('TotalSteps/TotalDays/@TARGET_RATE') | |
| data['RelRate'] = data.eval('Steps/Days/( (@TARGET-TotalSteps+Steps)/(366-TotalDays+Days) )') | |
| total_needed = TARGET - data['TotalSteps'].iloc[-1] | |
| days_to_go = 366 - data['TotalDays'].iloc[-1] | |
| rate_needed = total_needed / days_to_go | |
| data.index = data.apply(lambda x: f"{x['Month']}" if x['Days'] > 28 else f"{x['Month']} ({x['Days']}d)", axis=1) | |
| data = data.drop(columns=['Month', 'Days', 'TotalDays']) | |
| data['Steps'] //= 100 | |
| data['Steps'] /= 10 | |
| data['Total steps (k)'] = data.eval('TotalSteps/1000').astype(int).map('{:,}'.format) | |
| data['Deficit'] //= 1000 | |
| data.style.format("{:.1f}") | |
| data.rename(columns= | |
| { 'Steps': 'Steps (k)', | |
| 'Deficit': 'Deficit (k)', | |
| }, inplace=True) | |
| data['Month rate'] = data['MonthRate'].map('{:.1%}'.format) | |
| data['Cumm rate'] = data['CummRate'].map('{:.1%}'.format) | |
| data['Rate needed'] = data['RelRate'].map('{:.1%}'.format) | |
| pd.set_option('display.width', 120) | |
| print(data[['Steps (k)', 'Total steps (k)', 'Deficit (k)', 'Month rate', 'Cumm rate', 'Rate needed']]) | |
| print(f'Deficit to catch up: {data["Deficit (k)"].iloc[-1]}k') | |
| print(f'Rate per day needed for rest of year: {rate_needed:,.6}') |
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