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Official account: Special HouseAuthor: PeterEditor: Peter Hello, I'm Peter~ This article introduces the four row column conversion methods in Pandas, including: melttranspose T or transferwide_to_longexplode (explosion function) Finally, answer a data processing question asked by a reader friend. Pandas row column conversion There a ...

Pandas Series object The Series object is used to represent a one-dimensional data structure. Each element of its main array will have an associated label. (roughly as shown in the figure below) Object declaration By PD Series(). If no label is specified, the value incremented once from 0 is used as the label by default. s = pd.Series([1 ...

Data merging is a necessary step in data processing. As a sharp tool for data analysis, pandas provides four common data merging methods. Let's see how to use these methods! 1.concat() concat() can be used for inline or inline splicing in the row / column direction between two or more dataframes. The union of rows (along the y-axis) is taken ...

Translated from https://pandas.pydata.org/docs/user_guide/10min.html Use version 0.23.0 pandas is a fast, powerful, flexible and easy-to-use open source data analysis and operation tool, which is built on the Python programming language. pandas contains two structures Series is a one-dimensional tag array that can hold any data type (intege ...

1, Viewing of Pandas data 1.1 view Dataframe: print(df);print(df.head(6));print(df.tail(6));print(df.sample(6)) 1.2 view Series: print(ser); print(df[‘salary’]) 1.3 view DF basic information: print(df.info()); print(df.shape) 1.4 view df basic statistical indicators: print(df.describe()) 1.5 view df column name: print(df.co ...

brief introduction Time should be a data type often used in data processing. In addition to the two data types of datetime64 and timedelta64 in Numpy, pandas also integrates the functions of other python libraries, such as scikits.timeseries. Time classification There are four time types in pandas: Date times: date and time, with time z ...

Hello, I'm spicy. Finally, we are going to start the series of articles on data analysis. Compared with crawlers, the technical dimension has risen to a higher level. The output of my article will update the series of practical projects and the series of detailed explanation and summary of knowledge points in two columns respectively, with the ...