print(cftime.__version__) 1. 2. 这应该会输出你安装的cftime版本号。 使用cftime:你可以尝试使用一些基本的函数来验证安装是否成功。例如,创建一个cftime对象: import cftime # 创建一个cftime对象 dt = cftime.datetime(2023, 10, 1, calendar='gregorian') print(dt) #将cftime对象转换为标准的datetime对象...
1,1,0,0,0)end_date=cftime.datetime(2023,1,10,0,0,0)time_difference=cftime.timedelta(days=1)# 设定时间间隔为1天# 2. 创建时间序列date_range=pd.date_range(start=start_date,end=end_date,freq='D')cftime_series=[]fordateindate_range:# 将pandas的timestamp转换为cftimecftime_series.append...
Pandas provides support for time-series data in DataFrames, usually sequential values of time-based events, by using the NumPy datetime module. cftime provides support for calendars other than the proleptic Gregorian calendar as well as other time units conforming to the Climate and Forecasting (CF...
5/20/2021: Version 1.5.0 released. Includes support for astronomical year numbering (including the year zero) for real-world calendars ('julian', 'gregorian'/'standard', and 'proleptic_gregorian') using 'has_year_zero'cftime.datetimekwarg. Added a 'change_calendar'cftime.datetimemethod to swit...
趋势分析是一种用于检测数据随时间的变化趋势的方法。在海洋学和大气学中,常见的趋势分析包括海表面温度(SST)、海平面上升、气温变化等。趋势分析通常包括...
I've loaded data in xarray format which has a coordinate 'time'. The first 4 values look like: array([cftime.Datetime360Day(1970, 1, 1, 12, 0, 0, 0, 2, 1), cftime.Datetime360Day(1970, 1, 2, 12, 0, 0, 0, 3, 2), cftime.Datetime360Day(1970,...
python中提供了多种方式来处理netcdf文件,这里主要讲一下常用的 netcdf4-python 模块。 netcdf4-python是 netCDF4 C库的python模块。新版本(V4)的 netcdf 中有很多以前版本中没有的优点,而且新版本是在 HDF5 上建立的。此模块可以读写 netCDF4 及 netCDF3 格式的文件,同时也可创建 HDF5 客户端只读的文件...
Python's datetime are converted to cftime.DatetimeGregorian. Raises ValueError when unable to cast the input. """ if isinstance(time, xr.DataArray): time = time.indexes["time"] elif isinstance(time, np.ndarray): time = pd.DatetimeIndex(time) if isinstance(time[0], cftime.datetime): ...
我已经屏蔽了数组,从中我提取了datetime,并将其从从开始日期以秒为单位的时间序列转换为“对象数组”。在python中使用以下命令。 date=num2date(time, units = data.variables['time'].units) 当我打印日期时,我得到 Out[41]: masked_array(data=[cftime.DatetimeGregorian(2002, 8, 23, 9, 0, 0, 0, ...
import datetime import cftime from netCDF4 import Dataset as netcdf # netcdf4-python module import netCDF4 as nc import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap import matplotlib.dates as mdates from matplotlib.dates import MonthLocator, WeekdayLocator, DateFormatter ...