Weather Analysis

weatheranalfor.py

#!/usr/bin/env python3
"""
Analyses weather data from a file Santa Cruz Beach Boardwalk's weather station.
Data is collected once every 5 minutes.

assumed:
 - Atleast 1 data point
 - Data is formated
"""

import sys


dataPoints = []
mean = 0
maxValue = ["", "", sys.float_info.min]
minValue = ["", "", sys.float_info.max]
for line in sys.stdin:
    dataLines = line.split()

    value = float(dataLines[2])
    if value > maxValue[2]:
        maxValue = [dataLines[0], dataLines[1], value]
    elif value < minValue[2]:
        minValue = [dataLines[0], dataLines[1], value]

    dataPoints.append(value)
    mean += value

if maxValue[2] == sys.float_info.min:
    maxValue = minValue
elif minValue[2] == sys.float_info.max:
    minValue = maxValue

dataPoints.sort()
mean = mean / len(dataPoints)
mid = len(dataPoints) // 2
median = (dataPoints[mid] + dataPoints[~mid]) / 2

mode = minValue[2]
modeInstances = 1
currentNumber = -1000
currentCount = 0
for point in dataPoints:
    if point != currentNumber:
        # skips itterating through the end
        if currentNumber == maxValue[2]:
            currentCount = len(dataPoints) - dataPoints.index(point)
            if currentCount > modeInstances:
                mode = currentNumber
                modeInstances = currentCount

            break

        if currentCount > modeInstances:
            modeInstances = currentCount
            mode = currentNumber

        currentNumber = point
        currentCount = 0

    currentCount += 1

print(f"Count: {len(dataPoints)}")
print(f"Max: {int(maxValue[2])} @ {maxValue[0]} {maxValue[1]}")
print(f"Min: {int(minValue[2])} @ {minValue[0]} {minValue[1]}")
print(f"Mean: {(f'{(mean):.4f}').rstrip('0').rstrip('.')}")
print(f"Median: {(f'{(median):.4f}').rstrip('0').rstrip('.')}")
print(f"Mode: {int(mode)} ({modeInstances} instances)")