python pandas series

7. Time series plotting The drawing function of the Pandas time series is better than the Matplotlib native in date formatting. #-*-coding:utf-8-*-ImportNumPy as NPImportPandas as PDImportMatplotlib.pyplot as PltImportdatetime as DT fromPandasImportSeries,dataframe fromDatetimeImportdatetime fromDateutil.parserImportParseImport Time fromPandas.tseries.offsetsImpo

First, comments‘‘‘Multi-line comments‘‘‘#单行注释"' #example1.1 Test program time: 4/17/2017I1=input ("Please enter user name:")I2=input ("Please enter password")Print (I1)Print (I2)Print ("ainiyou")‘‘‘Second, the variable1) (the rules are the same as the rules in C)2) cannot make python internal keywordsIII. Basic data types1) NumberAge=242) stringName= "Yuanguoliang"Name= 'Yuanguoliang'Name= "" "Yuanguoliang" ""3) Boolean value (True,false)Iv. Process C

(i): t= Divmod (i,3) returnT[1] Li= (1,5,3,2,9,19,24) Print(Sorted (LI))#[1, 2, 3, 5, 9, +-]Print(Sorted (li,reverse=True)) #[9, 5, 3, 2, 1]Print(Sorted (li,key=func)) #[3, 9, 1, 5, 2]Print(Sorted (li,key=func,reverse=True)) #[5, 2, 1, 3, 9, +]Filter (function, iterable)As with map execution, a function calculation is performed on an iterator iterable element, and the computed result is filtered to match the result of the expression. The result returned in python3.x is F_filter = Filter (

more convenient and versatile, applicable parameters are not fixed, so the basic.py script can be rewritten as:# basic.py #动态参数的装饰器def Auth (func): Def inner (*arg, **kwargs): print ' before ' func (*arg,**kwargs) print ' after ' return inner @authdef F1 (): print ' F1 ' @authdef f2 (): print ' F2 ' @authdef f3 (): print ' F3 ' @authdef f4 (ARG): print ' F4 ', arg @authdef f5 (ARG1,ARG2,ARG3,ARG4): print ' F5 ', Arg1,arg2,arg3,arg4This article is from the "bitter coffee ' s Yun ' an Road" blog,

Automatically calculates the Hop Distance and python distance in the python hop series. So far, through the descriptions and analysis in the previous blog posts, we have been able to automatically determine the position of the chess pieces and the Board, and calculate the distance between the two centers, and draw the image as follows. Effect The chess pieces in

returned by the dictionary items () methodFor Key,value in Dic.items ():... print ' key is%s,value%s '% (key,value)...Key is Id,value is 001Key is Age,value is 30Key is Name,value are ZhangsanKey is Sex,value are male1234567If you are unfamiliar with lists, tuples, and sequence unpacking, it is best to get a better understanding of them by Baidu. Can be understood in combination with arrays, list classes, and hash tables in your familiar C # or Java languagePython Training Knowledge Summary

, Os.listdir u Porting Tools u Path Name Tool u Example: l Import os l os.getpid () L Output 3784 L also open a cmd,#tasklist, find python.exe discovery process pid is 3784 u Example: l Import os l os.getcwd () L output the current working directory u Example: l Import os l os.system (' dir ') L Output dir output under normal conditions u Example: l Import os l test = os.popen (' type helloshell.py '). Read () L Put the output in test after executing the Shell command L String Method Base Opera

. What's easy to worry about is the comment section of the documentFrom BS4 import BeautifulSoup, CDataMarkup = "Soup = beautifulsoup (markup)Comment = soup.b.stringPrint (type (comment))# Comment object is a special type of navigablestring object:Print (comment)#美化后的输出结果Print (Soup.b.prettify ())# Other types defined in Beautiful soup may appear in the XML document:# CData, ProcessingInstruction, Declaration, Doctype. Similar to the Comment object,# These classes are all navigablestring subclas

Reprint: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename.html>>> s = PD. Series ([1, 2, 3]) >>> s0 3dtype:int64>>> s.rename ("My_name") # scalar , changes SERIES.NAME0 3name:my_name, dtype:int64>>> s.rename (Lambda x:x * * 2) # F Unction, changes Labels0 3dtype:int64>>> s.rename ({1:3, 2:5}) # Mapping, Changes Labels0 3dtype:int64>>> df = PD. DataFrame ({"A": [1,

List and looping issues Write a function tag_count whose parameters are listed as a list of strings. The function should return the number of XML tags in the string. XML is a data language similar to HTML. You can determine whether a string is an XML tag, starting with the left angle bracket " You can assume that the list of strings as input does not contain an empty string."" "Write a function, tag_count that's takes as its argument a listof strings. It should return a count of ho

Basic Python series ---- dictionaries, basic statements, python ---- 1. Definition Ing: a data structure referenced by a name. Different from the data structure mentioned above, one is through the number of the lower mark, and the other is through the name. A dictionary is the only built-in ing type in python. The valu

://s5.51cto.com/wyfs02/M02/94/C3/wKiom1kNeffic7ikAAEr3gDVfHM521.jpg "style=" float : none; "title=" image012.jpg "alt=" Wkiom1kneffic7ikaaer3gdvfhm521.jpg "/> A ) exit the virtual environment650) this.width=650; "src=" https://s5.51cto.com/wyfs02/M02/94/C2/wKioL1kNefejYSmRAACMyOh6LlM955.jpg "style=" float : none; "title=" image013.jpg "alt=" Wkiol1knefejysmraacmyoh6llm955.jpg "/>If you want multiple versions, install a few more versions. Then you can switch back and forth.For example you do: pye

Python jump series: color recognition for chess pieces and python chess pieces Python jump, Preface This is an article in the python jump series. The main content is to use the color recognition method to locate the jump villain.

for example the following:[ { "pk": 1, "model": "Apps.animal", "fields": { "status": 1, "gmt_modified": " 2015-07-06t14:05:38 ", " gmt_created ":" 2015-07-06t14:05:38 ", " Alive ": 1, " info ":" } }, {" pk": 2, "model": "Apps.animal", "fields": { "status": 0, "gmt_modified": " 2015-07-06t14:05:53 ", " gmt_created ":" 2015-07-06t14:05:53 ",

_file_path_a, $INPUT _file_path_b-Output $OUTPUT _sort_path-mapper"python map.py" -reducer"python red.py" -file./map.py-file./red.py-jobconf mapred.reduce.tasks=2 -jobconf map.output.key.field.separator=, -jobconf Num.key.fields. for. partition=1 \ -partitioner Org.apache.hadoop.mapred.lib.KeyFieldBasedPartitioner-jobconf stream.map.output.field.separator=: -jobconf stream.num.ma

0b10100010 Park B ' \xe5\x9b\xad ' 229 0b11100101155 0b10011011173 0b10101101 Binary conversions such as: 　　　　　　PS: General string execution of a function will generate a new content, the original content is unchanged list,tuple,dict.3. Dictionary (dict) Small case, take out 123 in the dictionary:Li = ["Alex", 123, {"K1": "V1", "K2": {"VV": (11,22,123), "II": 456}]Print (li[2][' K2 ' [' VV '][2]) The usage of Dict.fromkeys understands:a1= Dict.fromkeys ([' K1 ',

Python crawler Csdn Series II, python crawler csdnPython crawler Csdn Series II By Bear flower (http://blog.csdn.net/whiterbear) reprint need to indicate the source, thank you. Note: In the previous article, we have learned that as long as the program is disguised as a browser, you can access the csdn web page.

The basics of python decorators in the python Learning Series (1)Create decorator # Basic. py # first define a decorator auth: # General decorator def auth (func): def inner (): print 'before' func () print 'after' return inner # decorator def auth_arg (func) with 1 parameter: def inner (arg): print 'before' func (arg) print 'after' return inner # decorator def a

sequence.Staticmethod () static method.STR () Converts the given value to a character.SUM () to find and for the given sequence.Super () is used to execute the method of the parent class.Tuple () converts the given sequence to a tuple.Type () returns the types of the given object.VARs () gets all the properties and methods of the given object, as well as the values of the properties and methods. The difference between it and Dir () is that Dir () gives only key, and VARs () gives key and value.

Cffex. IF1808, 1000 closing price movements by the end of the day:# encoding:utf-8import talibfrom talib.abstract import smaimport numpy as Npimport pandas as Pdimport mathimport datetime From collections Import Dequefrom gm.api import * #掘金import Matplotlib.pyplot as Pltimport matplotlib as Mplimport MPL _finance as Mpfimport matplotlib.dates as Mpdimport Seaborn as Snsimport statsmodels.tsa.stattools as Tsimport statsmodels . API as Smfrom Statsmod