About Python in pandas. Dataframe add a new row and column to the row and column sample code

Pandas is the most famous data statistics package in Python environment, and Dataframe is a data frame, which is a kind of data organization, this article mainly introduces the pandas in Python. Dataframe the row and column summation and add new row and column sample code, the text gives the detailed sample code, the need for friends can refer to, let's take a look at it.

This article describes the pandas in Python. Dataframe the row and column summation and add new rows and columns of the relevant information, the following words do not say, to see the detailed introduction.

Here's how:

Import module:

From pandas import Dataframeimport pandas as Pdimport NumPy as NP

Generate Dataframe Data

DF = DataFrame (Np.random.randn (4, 5), columns=[' A ', ' B ', ' C ', ' D ', ' E '])

Dataframe Data preview:

  A  B  C  D  E0 0.673092 0.230338-0.171681 0.312303-0.1848131-0.504482-0.344286-0.050845-0.811277- 0.2981812 0.542788 0.207708 0.651379-0.656214 0.5075953-0.249410 0.131549-2.198480-0.437407 1.628228

Calculate the sum of each column's data and add it to the end as a new column

df[' col_sum ' = df.apply (lambda x:x.sum (), Axis=1)

Calculates the sum of each row's data and adds it to the end as a new row

df.loc[' row_sum ' = df.apply (lambda x:x.sum ())

Final data results:

  A  B  C  D  E col_sum0 0.673092 0.230338-0.171681 0.312303-0.184813 0.8592381-0.504482-0.344286- 0.050845-0.811277-0.298181-2.0090712 0.542788 0.207708 0.651379-0.656214 0.507595 1.2532563-0.249410 0.131549-2.1984 80-0.437407 1.628228-1.125520row_sum 0.461987 0.225310-1.769627-1.592595 1.652828-1.022097

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