两个月前需求：使用python3做一个将观测数据编译产出成bufr数据的一个工具
刚刚完成初版，其中的数据文件路径和数据内容格式还需要仔细核对，但整体逻辑已实现，剩下的工作时间可能会用来完善它
The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. With over 11 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:
from xml.dom import minidom def readXmlByTagName(path): with open(path, 'r', encoding='utf8') as fh: # 获取根节点 root = minidom.parse(fh).documentElement # 节点类型：'ELEMENT_NODE'，元素节点； 'TEXT_NODE'，文本节点； 'ATTRIBUTE_NODE'，属性节点 #print('节点类型:') return root def getElementsByTagName(root,tagName): return root.getElementsByTagName(tagName)[0].childNodes[0].data
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
pandas 的使用效果很腻害，在项目中主要用来读取如下图格式数据：
用到的 pandas 语法大概有:
邯城往事
pandas.read_table(data_path, sep=',',dtype = 'str') 用来将数据读取出来.shape[0] 用来获取数据的行数.iloc 根据 x 和 y 轴来定位元素def Number2BinStr(num, size): ''' 整形转二进制字符的方法； :param num: 需要变换的整数； :param size:设定二进制宽度 :return: ''' fmt = '{0:0%db}' % size return fmt.format(num),size
def encode(s='', size=8): str_len = len(s) if str_len*8 <size: for i in range(0, int((size - str_len*8)/8)): s = s + ' ' elif str_len*8 >size: pass # s = s # for i in range(0, int((str_len*8 - size)/8)): strs = '' for c in s: str_byte = bin(ord(c)).replace('0b', '') b = 8 - len(str_byte) for i in range(0, b): str_byte = '0'+str_byte strs = strs + str_byte return strs, size
def data_trasform_func(data, x, b): ''' 求数据乘以比例因子加系数的方法； :param data: 数据值； :param x:比例因子 :param b:基准值 :return:返回转换后的值； ''' return int(data*math.pow(10, x) + b)
#判断是否有数据文件 def search(path=".", name=""): result = [] for item in os.listdir(path): item_path = os.path.join(path, item) if os.path.isdir(item_path): search(item_path, name) elif os.path.isfile(item_path): if name in item: result.append(item_path) return result
if (type(None) != type(aapae33) and type(None) != type(aapae33object))
#UTC时间获取前一天 td = datetime.timedelta(days=1,hours=0,,seconds=0,microseconds=0) print(datetime.datetime.utcnow().isoformat()) print((datetime.datetime.utcnow() - td).isoformat()) #本地时间获取前一天 now_time = datetime.datetime.now() yes_time = now_time + datetime.timedelta(days=-1) print(now_time) print(yes_time)
import linecache file_path = r'D:\work\python\test.txt' line_number = 5 context = linecache.getline(file_path, line_number).strip()