Pythonで睡眠ログの視覚化を作成する

Question

私は睡眠情報のデータセットを持っており、Pythonを使って睡眠時間の情報を視覚化したいと考えています。私が持っている

.csvデータセットは次のようになります。 画像ソース：

SleepStartDate,SleepStartTime,SleepStopTime 17/03/2017,23:45,07:25 19/03/2017,01:05,09:10 19/03/2017,23:50,08:25

私が生産したい可視化は、次のようになりhttp://quantifiedself.com/wp-content/uploads/2015/08/qs2.png

Iこれは本当にシンプルなビジュアライゼーションであり、既存のライブラリに組み込まれていると想像してください。しかし、私の最高のグーグルの取り組みはそれを見つけることができませんでした。誰かが私を正しい方向に向けることができれば大変感謝しています。

あなたの時間と知恵に感謝します。

Answer 1

古典的なPythonの選択肢は、matplotlibパッケージを使用することです。サンプルグラフを見ると、縦棒グラフのように見えます。

Answer 2

は私が欲しかったものを行うための機能を持つライブラリを見つけることができなかったので、自分のためにそれを行うためのスクリプトを書くことになった：

スクリプト：

import matplotlib.pyplot as plt 
import matplotlib as mpl 
import numpy as np 
import matplotlib.patches as patches 
import datetime as dt 
import csv 
import sys 

MINUTES_IN_DAY = 1440.0 
COLUMN_COLOUR = 'b' 

# Graph data using matplotlib visualization 
def plotData(data,columnColour,maxDate,minDate): 


    # Set up an invisible background scatterplot give graph the correct size 
    # Make a series of events that are one day apart 
    x = mpl.dates.drange(minDate,maxDate,dt.timedelta(days=1)) 

    # Offset first event to top of graph to give correct height 
    x[0] += 0.85 

    # Extract the time using a modulo 1, and adding an arbitrary base date 
    # int used so that y-axis starts at midnight 
    times = x % 1 + int(x[0]) 

    fig = plt.figure() 
    fig.suptitle('Daily Sleep Patterns', fontsize=14, fontweight='bold') 
    ax = fig.add_subplot(111) 

    # Set background scatterplot to invisible 
    ax.plot_date(x, times, 'ro', color='w', visible=False) 

    ax.yaxis_date() 
    fig.autofmt_xdate() 

    start, end = ax.get_ylim() 

    # Fix division sizes and labels to show hours on y-axis 
    hourDivision = 1.0/24.0 
    ax.yaxis.set_ticks(np.arange(start,end,hourDivision)) 
    ax.set_yticklabels(['Midnight','1am','2am','3am','4am','5am','6am','7am','8am','9am','10am','11am','Midday','1pm','2pm','3pm','4pm','5pm','6pm','7pm','8pm','9pm','10pm','11pm','Midnight']) 

    # Iterate through data 
    for i in range(0,len(data)): 

     # If period starts and finishes on different days, slit and add to both days 
     if data[i].startTime > data[i].stopTime: 

      currentDataItem = data[i] 

      currentDate = dt.datetime(currentDataItem.year,currentDataItem.month,currentDataItem.day) 

      currentDate -= dt.timedelta(days=0.5) 

      tomorrow = currentDate + dt.timedelta(days=1) 

      plt.axvspan(xmin=currentDate, xmax=tomorrow, ymin=currentDataItem.startTime, ymax=1, facecolor=columnColour, alpha=0.5) 


      theDayAfterTomorrow = tomorrow + dt.timedelta(days=1) 


      plt.axvspan(xmin=tomorrow, xmax=theDayAfterTomorrow, ymin=0, ymax=currentDataItem.stopTime, facecolor=columnColour, alpha=0.5) 

     # Else, add to given day 
     else: 

      currentDataItem = data[i] 

      currentDate = dt.datetime(currentDataItem.year,currentDataItem.month,currentDataItem.day) 

      currentDate -= dt.timedelta(days=0.5) 

      tomorrow = currentDate + dt.timedelta(days=1) 


      plt.axvspan(xmin=currentDate, xmax=tomorrow, ymin=currentDataItem.startTime, ymax=currentDataItem.stopTime, facecolor=columnColour, alpha=0.5) 

    ax.set_ylabel('Hours',fontweight='bold') 

    #ax.legend() 
    ax.grid(True) 

    plt.show() 

# Read data from csv file 
def readDataFromFile(dataFile): 
    f = open(dataFile,'rt') 
    listOfInputLists = [] 
    try: 
     reader = csv.reader(f) 
     for row in reader: 
      listOfInputLists.append(row) 
    finally: 
     f.close() 
    return listOfInputLists 

# Class to store time and date data read from file 
class sleepInstance(object): 
    def __init__(self,listOfInputLists): 
     self.day = 0 
     self.month = 0 
     self.year = 0 
     self.formatDate(listOfInputLists[0]) 
     self.startTime = self.formatTime(listOfInputLists[1]) 
     self.stopTime = self.formatTime(listOfInputLists[2]) 

    # Extracts date information variables 
    def formatDate(self,unformattedDate): 
     date = dt.datetime.strptime(unformattedDate,"%d/%m/%y") 
     self.day = int(date.strftime("%d")) 
     self.month = int(date.strftime("%m")) 
     self.year = int(date.strftime("%Y")) 

    # Formats time as a decimal fraction of day, for use in graph 
    def formatTime(self,unformattedTime): 
     timeSinceMidnight = dt.datetime.strptime(unformattedTime,'%H:%M:%S') 
     midnight = dt.datetime(1900,1,1) 
     minutesSinceMidnight = ((timeSinceMidnight - midnight).total_seconds()/60.0) 
     fractionOfDay = minutesSinceMidnight/MINUTES_IN_DAY 
     return fractionOfDay 

# Formats data read from file as a list of sleepInstance objects 
def formatDataForPlot(listOfInputLists): 
    sleeps = [] 
    for i in range(1,len(listOfInputLists)): 
     sleeps.append(sleepInstance(listOfInputLists[i])) 
    return sleeps 

# Extracts earliest (min) and latest (max) dates from data, for use in setting graph limits 
def getMaxAndMinDates(plotDataList): 
    dateTimeList = [] 
    for item in plotDataList: 
     nextDate = dt.datetime(item.year,item.month,item.day) 
     dateTimeList.append(nextDate) 
    maxDate = max(dateTimeList) 
    minDate = min(dateTimeList) 
    return maxDate, minDate 

dataFile = 'sleepData.csv' 
listOfInputLists = readDataFromFile(dataFile) 
plotDataList = formatDataForPlot(listOfInputLists) 
maxDate, minDate = getMaxAndMinDates(plotDataList) 
plotData(plotDataList,COLUMN_COLOUR,maxDate,minDate) 

入力：

Date,Start,Finish 
17/03/17,03:15:00,03:55:00 
17/03/17,06:20:00,06:35:00 
17/03/17,09:00:00,09:40:00 
17/03/17,13:10:00,13:35:00 
17/03/17,15:45:00,16:30:00 
17/03/17,18:45:00,19:25:00 
17/03/17,21:15:00,21:35:00 
18/03/17,00:30:00,02:00:00 
18/03/17,04:50:00,05:05:00 
18/03/17,08:20:00,08:40:00 
18/03/17,12:30:00,13:10:00 
18/03/17,16:30:00,17:00:00 
18/03/17,18:45:00,19:00:00 
18/03/17,20:30:00,21:00:00 
19/03/17,00:00:00,12:00:00 
19/03/17,18:00:00,23:59:00 
19/03/17,13:00:00,14:00:00 
20/03/17,12:00:00,11:00:00 

出力：

月の空想それを少し、私は時間を持っている：https://github.com/ambidextrous/timeLogGrapher