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Python stable version
Python stable version







python stable version

Requests, a powerful HTTP client library.Support for FTP, IMAP, and other Internet protocols.Īnd the Package Index has yet more libraries:.Python's standard library supports many Internet protocols: Embeddable within applications as a scripting interface.Extensions and modules easily are written in C, C++ (or Java for Jython, or.Extensive standard libraries and third-party modules for virtually every task.

python stable version

  • Full modularity, supporting hierarchical packages.
  • Time = cftime.num2pydate(cftime_value, time_unit)ĭataset.loc=, gage_height, time]ĭataset = t_index( 'time').tz_localize(tz= 'UTC').tz_convert(tz= 'US/Central')Īx.Some of its key distinguishing features include: Grid_type, grid_rank, grid_node_count, site_lon, site_lat))ĭataset = pd.DataFrame(columns = )ĭata_comp.get_value( 'Stream flow', stream_flow)ĭata_comp.get_value( 'Height', gage_height)Ĭftime_value= data_comp.get_current_time() Var_nbytes = data_comp.get_var_nbytes(var_name) Var_itemsize = data_comp.get_var_itemsize(var_name) Var_grid = data_comp.get_var_grid(var_name) Var_type = data_comp.get_var_type(var_name) Var_location = data_comp.get_var_location(var_name) Var_unit = data_comp.get_var_units(var_name) # get variable info for var_name in data_comp.get_output_var_names():

    python stable version

    Xlabel= 'Time', title = 'Time Series Data at USGS Gage 03339000')Īx.set_ylabel( 'Stream flow (ft3/s)')Įxample 2: use BmiNwis class to download data (Demonstration of how to use BMI) import numpy as npĭata_comp.initialize( 'config_file.yaml') Example 1: use the dataretrieval package to download data import dataretrieval.nwis as nwisĭataset = nwis.get_record(sites= '03339000', service= 'iv', start= '', end= '')Īx = ot(y=, subplots= True, figsize=( 10, 8), (the one that contains setup.py) to install bmi_nwis. $ pip install bmi_nwisĪfter downloading the source code, run the following command from top-level folder The bmi_nwis package and its dependencies can be installed with pip. Get Started Install package Stable Release If you have any suggestion to improve the current function, please create a github issue Please note that the current bmi_nwis implementation only supports to download time series dataįor instantaneous values and daily mean values ('iv' or 'dv' service option in the dataretrieval package). This package is not implemented for people to use but is the key element to convert the NWIS datasetĬommunity Surface Dynamics Modeling System ( CSDMS). To download the NWIS dataset and wraps the dataset with BMI for data control and query. This package uses the dataretrieval package Bmi_nwis package is an implementation of the Basic Model Interface ( BMI)









    Python stable version