python pandas merge data frames

join and specify Keys (row index) \ r \ n ', concat ([df1,df2],keys=[' A ', ' B ']) # Here are the duplicate data print ' go back \ r \ n ', concat ([df1,df2],ignore_index=true). Drop_duplicates ()The output is:Internal connection by Axis City rank City rank0 Chicago 1 Chicago San Francisco 2 Boston New York City 3 Los Angeles 5 outer Joins and assign keys (row index) City Ranka 0 Chicago 1 1 San F

Python traversal pandas data method summary, python traversal pandas Preface Pandas is a python data analysis package that provides a large

1 concat The Concat function is a method underneath the pandas that allows for a simple fusion of data based on different axes. Pd.concat (Objs, axis=0, join= ' outer ', Join_axes=none, Ignore_index=false, Keys=none, Levels=none, Names=None, Verify_integrity=false)1 2 1 2 1 2 Parameter descriptionObjs:series,dataframe or a sequence of panel compositions lsitAxis: Axis that needs to

, how to do? For more information please go to other blogs, where more detailed instructions are available .Pandas import time data for format conversion　　Draw multiple graphs on one canvas and add legends1 fromMatplotlib.font_managerImportfontproperties2Font = fontproperties (fname=r"C:\windows\fonts\STKAITI. TTF", size=14)3colors = ["Red","Green"]#the color used to specify the line4Labels = ["Jingdong","

Http://www.cnblogs.com/batteryhp/p/5006274.htmlPandas is the preferred library for subsequent content in this book. The pandas can meet the following requirements: Data structure with automatic or explicit data alignment by axis. This prevents many common errors caused by data misalignment and

Data conversionDelete duplicate elements　　The duplicated () function of the Dataframe object can be used to detect duplicate rows and return a series object with the Boolean type. Each element pairsshould be a row, if the row repeats with other rows (that is, the row is not the first occurrence), the element is true, and if it is not repeated with the preceding, the metaThe vegetarian is false.A Series object that returns an element as a Boolean is of

The following for you to share a Python data Analysis Library Pandas basic operation method, has a good reference value, I hope to help you. Come and see it together. What is Pandas? Is it it? 。。。。 Apparently pandas is not so cute as this guy .... Let's take a look at how

PandasPandas is a popular open source Python project that takes the name of panel data and Python data analysis.Pandas has two important data structures: Dataframe and seriesThe dataframe of PANDAS

1 ImportPandas as PD2DF1 = PD. DataFrame ([[1,2,3],[5,6,7],[3,9,0],[8,0,3]],columns=['X1','X2','X3'])3DF2 = PD. DataFrame ([[1,2],[4,6],[3,9]],columns=['X1','X4'])4 Print(DF1)5 Print(DF2)6DF3 = Pd.merge (df1,df2,how =' Left', on='X1')7 Print(DF3)8DF4 = Pd.merge (df1,df2,how =' Right', on='X1')9 Print(DF4)TenDf5 = Pd.merge (df1,df2,how ='Inner', on='X1') One Print(DF5) ADf6 = Pd.merge (df1,df2,how ='outer', on='X1') - Print(DF6)Getting Started with Python