1、numpy.empty
作用：根據(jù)給定的維度和數(shù)值類型返回一個(gè)新的數(shù)組，其元素不進(jìn)行初始化。
用法：numpy.empty(shape, dtype=float, order=‘C’)

2、logging.debug
作用：Python 的日志記錄工具，這個(gè)模塊為應(yīng)用與庫(kù)實(shí)現(xiàn)了靈活的事件日志系統(tǒng)的函數(shù)與類。

圖片來源：
https://docs.python.org/zh-cn/3/library/logging.html
https://blog.csdn.net/weixin_41724044/article/details/81784974

3、assert函數(shù)
https://docs.python.org/3/reference/simple_stmts.html#assert
作用：Python assert（斷言）用于判斷一個(gè)表達(dá)式，在表達(dá)式條件為 false 的時(shí)候觸發(fā)異常。斷言可以在條件不滿足程序運(yùn)行的情況下直接返回錯(cuò)誤，而不必等待程序運(yùn)行后出現(xiàn)崩潰的情況。
用法：assert expression或assert expression [, arguments]。
如果expression是True，那么什么反應(yīng)都沒有。但是如果expression是False，那么會(huì)報(bào)錯(cuò)AssertionError。

4、np.where函數(shù)
（1）np.where(condition)：返回值是滿足condition的元素的下標(biāo)；
（2）np.where(condition, x, y)：返回值是一個(gè)和condition的shape相同的numpy 數(shù)組，當(dāng)滿足條件condition時(shí)，返回值中的元素從x中取，否則從y中取。

5、python讀取shapefile文件

import shapefile
sh=shapefile.Reader('./shp/shapefile_file.shp')
shapefile_records=sh.records()#records,according to arcgis fileds

6、python 中兩個(gè)//表示：地板除，即先做除法（/），然后向下取整（floor）。

7、python netcdf: making a copy of all variables and attributes but one
解決方法：https://stackoverflow.com/questions/15141563/python-netcdf-making-a-copy-of-all-variables-and-attributes-but-one
代碼：

import netCDF4 as nc
toexclude = ['ExcludeVar1', 'ExcludeVar2']with netCDF4.Dataset("in.nc") as src, netCDF4.Dataset("out.nc", "w") as dst:# copy global attributes all at once via dictionarydst.setncatts(src.__dict__)# copy dimensionsfor name, dimension in src.dimensions.items():dst.createDimension(name, (len(dimension) if not dimension.isunlimited() else None))# copy all file data except for the excludedfor name, variable in src.variables.items():if name not in toexclude:x = dst.createVariable(name, variable.datatype, variable.dimensions)dst[name][:] = src[name][:]# copy variable attributes all at once via dictionarydst[name].setncatts(src[name].__dict__)

或者（測(cè)試可用）：

import netCDF4 as nc
import numpy as np
toexclude = ["TO_REMOVE"]
with nc.Dataset("orig.nc") as src, nc.Dataset("filtered.nc", "w") as dst:# copy attributesfor name in src.ncattrs():dst.setncattr(name, src.getncattr(name))# copy dimensionsfor name, dimension in src.dimensions.iteritems():dst.createDimension(name, (len(dimension) if not dimension.isunlimited else None))# copy all file data except for the excludedfor name, variable in src.variables.iteritems():if name not in toexclude:x = dst.createVariable(name, variable.datatype, variable.dimensions)dst.variables[name][:] = src.variables[name][:]

代碼來源：https://stackoverflow.com/questions/15141563/python-netcdf-making-a-copy-of-all-variables-and-attributes-but-one
Python setattr() 函數(shù):
功能：setattr() 函數(shù)對(duì)應(yīng)函數(shù) getattr()，用于設(shè)置屬性值，該屬性不一定是存在的。
用法：setattr(object, name, value)

8、dataframe and series
series 對(duì)象轉(zhuǎn)字符串：df[['station']] = pd.Series(df['station'], dtype="string")
篩選滿足條件的行：df_new = df.loc[df['station'].str.contains('姓名')]

Python將循環(huán)過程中產(chǎn)生的dataframe，按行合并，最終輸出一個(gè)csv文件：

merge_result = []
for file in os.listdir(csv_path):df = pd.read_csv(os.path.join(csv_path,file),header = None,names=['field1','field2'])merge_result .append(df_new)
df_all = pd.concat(merge_result , axis=0)

9、dataframe輸出csv文件，中文出現(xiàn)亂碼問題
https://blog.csdn.net/chenpe32cp/article/details/82150074

df.to_csv("result.csv",encoding="utf_8_sig")