Python ingestの例

コード例 #1

def download(dbname, dts, bbox=None):
    res = 0.10
    for dt in [
            dts[0] + timedelta(tt) for tt in range((dts[-1] - dts[0]).days + 1)
    ]:
        data, lat, lon, t = fetch(dbname, dt, bbox)
        datasets.ingest(dbname, table, data, lat, lon, res, t)

コード例 #2

def download(dbname, dts, bbox=None):
    res = 0.25
    data, lat, lon, dts = fetch(dbname, dts, bbox)
    data *= 24.0  # convert from mm/hr to mm
    for t, dt in enumerate(
        [dts[0] + timedelta(tt) for tt in range((dts[-1] - dts[0]).days + 1)]):
        datasets.ingest(dbname, table, data[t, :, :], lat, lon, res, dt)

コード例 #3

def download(dbname, dts, bbox=None):
    res = 1.0
    sdata, _, _, _ = fetchScalingGrid(dbname, dts[0], bbox)
    for dt in [dts[0] + timedelta(tt) for tt in range((dts[-1] - dts[0]).days + 1)]:
        try:
            data, lat, lon, t = fetch(dbname, dt, bbox)
            data *= sdata
            datasets.ingest(dbname, table, data, lat, lon, res, t, False)
        except:
            pass

コード例 #4

ファイル: ncep.py プロジェクト: kandread/RHEAS

def download(dbname, dts, bbox=None):
    """Downloads NCEP Reanalysis data from IRI data library."""
    res = 1.875
    tmax, lat, lon, _ = fetch_tmax(dbname, dts, bbox)
    tmin, _, _, _ = fetch_tmin(dbname, dts, bbox)
    uwnd, _, _, _ = fetch_uwnd(dbname, dts, bbox)
    vwnd, _, _, dts = fetch_vwnd(dbname, dts, bbox)
    wnd = np.sqrt(uwnd**2 + vwnd**2)
    tmax -= 273.15
    tmin -= 273.15
    for t, dt in enumerate([dts[0] + timedelta(tt) for tt in range((dts[-1] - dts[0]).days + 1)]):
        datasets.ingest(dbname, "tmax.ncep", tmax[t, :, :], lat, lon, res, dt)
        datasets.ingest(dbname, "tmin.ncep", tmin[t, :, :], lat, lon, res, dt)
        datasets.ingest(dbname, "wind.ncep", wnd[t, :, :], lat, lon, res, dt)

コード例 #5

ファイル: ncep.py プロジェクト: wle0001/RHEAS

def download(dbname, dts, bbox=None):
    """Downloads NCEP Reanalysis data from IRI data library."""
    res = 1.875
    tmax, lat, lon, _ = fetch_tmax(dbname, dts, bbox)
    tmin, _, _, _ = fetch_tmin(dbname, dts, bbox)
    uwnd, _, _, _ = fetch_uwnd(dbname, dts, bbox)
    vwnd, _, _, dts = fetch_vwnd(dbname, dts, bbox)
    wnd = np.sqrt(uwnd**2 + vwnd**2)
    tmax -= 273.15
    tmin -= 273.15
    for t, dt in enumerate(
        [dts[0] + timedelta(tt) for tt in range((dts[-1] - dts[0]).days + 1)]):
        datasets.ingest(dbname, "tmax.ncep", tmax[t, :, :], lat, lon, res, dt)
        datasets.ingest(dbname, "tmin.ncep", tmin[t, :, :], lat, lon, res, dt)
        datasets.ingest(dbname, "wind.ncep", wnd[t, :, :], lat, lon, res, dt)

コード例 #6

ファイル: trmm.py プロジェクト: AdamJDuncan/RHEAS

def download(dbname, dt, bbox=None):
    res = 0.25
    data, lat, lon, t = fetch(dbname, dt, bbox)
    datasets.ingest(dbname, table, data, lat, lon, res, t)

コード例 #7

ファイル: grace.py プロジェクト: AdamJDuncan/RHEAS

def download(dbname, dt, bbox=None):
    res = 1.0
    data, lat, lon, t = fetch(dbname, dt, bbox)
    sdata, _, _, _ = fetchScalingGrid(dbname, dt, bbox)
    data *= sdata
    datasets.ingest(dbname, table, data, lat, lon, res, t)

コード例 #8

ファイル: cmorph.py プロジェクト: E-LLP/RHEAS

def download(dbname, dts, bbox=None):
    res = 0.25
    data, lat, lon, dts = fetch(dbname, dts, bbox)
    for t, dt in enumerate([dts[0] + timedelta(tt) for tt in range((dts[-1] - dts[0]).days + 1)]):
        datasets.ingest(dbname, table, data[t, :, :], lat, lon, res, dt)

コード例 #9

ファイル: chirps.py プロジェクト: maduhu/RHEAS

def download(dbname, dts, bbox=None):
    res = 0.05
    for dt in [dts[0] + timedelta(tt) for tt in range((dts[1] - dts[0]).days + 1)]:
        data, lat, lon, t = fetch(dbname, dt, bbox)
        datasets.ingest(dbname, table, data, lat, lon, res, t)