cimiss-python 0.1.4

A CIMISS client for python

cimiss-python

CIMISS client for Python 3

Installation

Python >= 3.6

Ubuntu

sudo apt install -y build-essential libssl-dev libbz2-dev
pip install cimiss-python

Windows

pip install cimiss-python

CentOS

未经验证

yum groupinstall "Development Tools"
yum -y install zlib-devel bzip2-devel openssl-devel
pip install cimiss-python

Usage

CIMISS-MUSIC仅为内网用户提供服务，且需要拥有相应数据访问权限的账号。

import cimiss

# host 不带http前缀，通常为纯ip地址
client = cimiss.Query(user_id='myuserid', password='mypasswd', host='myhost')


# callAPI_to_array2D
# array_2d(interface_id: str, params: Dict[str, str]) -> pd.DataFrame
resp_array_2d = client.array_2d(
    interface_id="getSurfEleByTime",
    params={
        "dataCode": "SURF_CHN_MUL_HOR",
        "elements": "Station_ID_C,PRE_1h,PRS,RHU,VIS,WIN_S_Avg_2mi,WIN_D_Avg_2mi,Q_PRS",
        "times": "20181224000000",
        "orderby": "Station_ID_C:ASC",
        "limitCnt": "10",
    },
)
# pandas
# https://pandas.pydata.org/pandas-docs/stable/


# callAPI_to_gridArray2D
# grid_array_2d(interface_id: str, params: Dict[str, str]) -> xr.DataArray
resp_grid = client.grid_array_2d(
    interface_id="getNafpEleGridByTimeAndLevelAndValidtime",
    params={
        "dataCode": "NAFP_FOR_FTM_HIGH_EC_ANEA",
        "fcstEle": "TEM",
        "time": "20191206000000",
        "fcstLevel": "1000",
        "validTime": "0",
    },
)
# xarray
# http://xarray.pydata.org/en/stable/


# callAPI_to_fileList
# def file_list(interface_id: str, params: Dict[str, str]) -> pd.DataFrame


# callAPI_to_saveAsFile
# save_file(interface_id: str, params: Dict[str, str], data_format: str, file_name: str) -> str


# callAPI_to_downFile
# down_file(interface_id: str, params: Dict[str, str], file_dir: str) -> List[str]#