#!/usr/bin/env python
# coding: utf-8

# Numpy date utilites
# ===================
# 
# This library provides utility functions to perform conversions and get
# information about numpy dates quickly.

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import datetime
import random
import numpy
import pyinterp

def make_date(samples=10000):
    """Generates random dates."""
    epoch = datetime.datetime(1970, 1, 1)
    delta = datetime.datetime.now() - datetime.datetime(1970, 1, 1)

    pydates = [epoch + random.random() * delta for _ in range(samples)]
    npdates = numpy.array(pydates).astype("datetime64[ns]")

    return npdates


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dates = make_date()
dates


# Get the date part as a structured numpy array of three fields: `year`,
# `month` and `day`:

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pyinterp.dateutils.date(dates)


# Get the time part as a structured numpy array of three fields: `hour`,
# `minute` and `second`:

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pyinterp.dateutils.time(dates)


# Get the ISO calendar of the date as a structured numpy array of three
# fields: `year`, `weekday` and `week`:

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pyinterp.dateutils.isocalendar(dates)


# Get the week day of the dates (Sunday is 0 ... Saturday is 6):

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pyinterp.dateutils.weekday(dates)


# Get the timedelta from since january

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pyinterp.dateutils.timedelta_since_january(dates)


# Get the dates as datetime.datetime array

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pyinterp.dateutils.datetime(dates)