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توضیحات

A package containing some simple tools to manage dates and times.

ویژگی	مقدار
سیستم عامل	-
نام فایل	DateTimeTools-1.1.1
نام	DateTimeTools
نسخه کتابخانه	1.1.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Matthew Knight James
ایمیل نویسنده	mattkjames7@gmail.com
آدرس صفحه اصلی	https://github.com/mattkjames7/DateTimeTools
آدرس اینترنتی	https://pypi.org/project/DateTimeTools/
مجوز	-

# DateTimeTools A package containing some simple tools to manage dates and times. ## Installation Install using `pip3`: ```bash pip3 install DateTimeTools --user ``` NOTE: This module uses a C++ backend, which is compiled with `g++` under Linux (libdatetime.so) and Windows 10 (libdatetime.dll). This code has mostly been tested in Linux (Mint 20ish, CentOS 7) with a very brief test in Windows 10. The precompiled libraries may fail to load under other versions of both operating systems (definitely on Mac, or 32 bit OSes) - if so, then the module will attempt to recompile itself on the host system using `g++`. If recompilation fails, please check that you have `g++` installed - under Linux install GCC, under Windows install Mingw GCC (I used TDM-GCC, be sure to select `g++`). ## Usage ### Converting between different date/time formats Usually this package deals with integer dates in the format `yyyymmdd` and floating point times in hours since the start of the day. We can convert to a few different time formats: ```python import DateTimeTools as TT Date = 20140102 ut = 15.0 #to unix time (seconds since 00:00 1970-01-01) unixt = TT.UnixTime(Date,ut) #and back Date,ut = TT.UnixTimetoDate(unixt) #to continuous time (hours since 00:00 1950-01-01) utc = TT.ContUT(Date,ut) #and back again Date,ut = TT.contUTtoDate(utc) #Julian day jd = TT.JulDay(Date,ut) #and back Date,ut = TT.JulDaytoDate(jd) #CDF Epoch (milliseconds since 00:00 0000-01-01) cdfe = TT.CDFEpoch(Date,ut) #and back Date,ut = TT.CDFEpochtoDate(cdfe) #get the python datetime dt = TT.Datetime(Date,ut) #or the reverse conversion Date,ut = TT.DatetimetoDate(dt) #convert hours since the start of the day to hours,minutes,seconds,milliseconds hh,mm,ss,ms = TT.DectoHHMM(ut) #and back ut = TT.HHMMtoDec(hh,mm,ss,ms) #Split dates into separate integers yr,mn,dy = TT.DateSplit(Date) #or the reverse Date = TT.DateJoin(yr,mn,dy) ``` ### Formatted plot tick marks The `DTPlotLabel` function can be used to change the plot labels on the x-axis of a `matplotlib.pyplot` plot such that they resemble human-readable times and dates. For example: ```python import matplotlib.pyplot as plt #some plot of a time series #t is time either in unix time, ContUT, seconds from the start of the day #or hours from the start of the day plt.plot(t,x) ax = plt.gca() #if we are plotting with t = TT.ContUT(Date,ut) #the function will be able to work out the date #The TimeFMT keyword isn't needed here, by default = 'utc' TT.DTPlotLabel(ax) #similar to above - we can us unix time #so t = TT.UnixTime(Date,ut) #We must let the function know though TT.DTPlotLabel(ax,TimeFMT='unix') #With seconds from beginning of the day, we need to #tell the function what Date starts at t == 0.0 #NOTE t can go beyond the range 0 < t < 24, #the labels should include relevant dates #Also, without the date keyword, just HH:MM(:SS) is shown TT.DTPlotLabel(ax,TimeFMT='seconds',Date=20150101) #Plotting with hours since the start of the day is similar TT.DTPlotLabel(ax,TimeFMT='hours',Date=20190908) ``` ### Calculating time differences ```python #calculate the difference between two dates in days ndays = TT.DateDifference(Date0,Date1) #Similar to above, but include start and end times (still returns days) ndays = TT.TimeDifference(Date0,ut0,Date1,ut1) #We can find the middle time between two date/times mDate,mut = TT.MidTime(Date0,ut0,Date1,ut1) ``` ### Filtering time series data Given an evenly sampled time series, the `lsfilter` function can perform low-pass and high-pass filtering. ```python #t is the evenly smapled time axis #x is the time series data #we need to know the sampling interval in seconds inter = t[1] - t[0] #we can do a low-pass filter, we need to set 'high = inter' #and 'low = lsec' which is the cutoff period in seconds xlow = TT.lsfilter(x,inter,lowsec,inter) #alternatively a high-pass filter can be used by setting #'high = hsec' (the cutoff period in seconds) and 'low = inter' xhigh = TT.lsfilter(x,hsec,inter,inter) ``` ### Miscellaneous functions ```python #calculate day number and year year,dayno = TT.DayNo(Date) #or return to original date format Date = TT.DayNotoDate(year,dayno) #Check if year(s) are leap year(s) ly = TT.LeapYear(year) #Add one day to a date NextDate = TT.PlusDay(Date) #or go back a day PrevDate = TT.MinusDay(Date) #Calculate the nearest index in a time/date array #to a test time/date ind = TT.NearestTimeIndex(DateArray,utArray,testDate,testut) #check which indices of a time array are within two time limits inds = TT.WithinTimeRange(t,t0,t1) #or including dates inds = TT.WithinTimeRange((d,t),(d0,t0),(d1,t1)) #alternatively, return a boolean array where each True element is within the range b = TT.WithinTimeRange((d,t),(d0,t0),(d1,t1),BoolOut=True) ```

نیازمندی

مقدار	نام
-	numpy
-	scipy
-	cdflib

نحوه نصب

نصب پکیج whl DateTimeTools-1.1.1:

pip install DateTimeTools-1.1.1.whl

نصب پکیج tar.gz DateTimeTools-1.1.1:

pip install DateTimeTools-1.1.1.tar.gz