Question

我需要将每个月的数据乘以相应月份的天数。数据是月平均降水量乘以累积降水量的天数。我想要一种pythonic方式（也许是xarray或pandas）。我的代码如下：

#!/usr/bin/env python3.6

import xarray as xr

ncfile = 'https://www.esrl.noaa.gov/psd/thredds/dodsC/' \
         'Datasets/cmap/std/precip.mon.mean.nc'

with xr.open_dataset(ncfile, autoclose=True) as dset:
    lat = dset['lat']
    lon = dset['lon']
    precip = dset['precip']

print(precip)

例如：

数据的前三个月是：1979-01-01,1979-02-01，1979-03-01，所以：

print(precip[0:3, 10, 10].values)
[ 0.81   0.76999998  0.70999998]

0.81 * 31
0.76999998 * 28
0.70999998 * 31

Answer 1

您可以使用days_in_month（或别名precip_month = precip * precip.time.dt.daysinmonth）属性：

$this->client = new SoapClient($this->wsdl, array(
  'trace' => true, 
  'exceptions' => true, 
  'ssl' => array(
    'verify_peer' => false,
    'allow_self_signed' => true
  ),
  'soap_version' => SOAP_1_2,
));
$this->client->__setLocation($service);
$params = array(
  'Scope' => array(
    'IncludedSources' => array('Token' => ''),
    'Extension'  => array(
      'CameraUuid' => $CameraUuid,
      'StartTime' => $StartTime,
      'StopTime' => $StopTime,
    ),
  ),
  'KeepAliveTime' => $KeepAlive
);
return $this->client->FindRecordings($params);

月数乘以天数

1 个答案: