import numpy as np
import pandas as pd
myarray = np.array([[1,2,3],[2,3,4],[3,4,5]])
rowindex = ['row1','row2','row3']
colname = ['col1','col2','col3']
mydataframe = pd.DataFrame(data=https://bbs.csdn.net/topics/myarray,index=rowindex,columns=colname)
uj5u.com熱心網友回復:
import numpy as npimport pandas as pd
myarray = np.array([[1,2,3],[2,3,4],[3,4,5]])
rowindex = ['row1','row2','row3']
colname = ['col1','col2','col3']
mydataframe = pd.DataFrame(data=https://bbs.csdn.net/topics/myarray,index=rowindex,columns=colname)
# print(mydataframe)
d=sorted(mydataframe['col2'],reverse=True)
print(d)
運行結果:
[4, 3, 2]
uj5u.com熱心網友回復:
myarray = np.array([[1,2,3],[2,3,4],[3,4,5]])
rowindex = ['row1','row2','row3']
colname = ['col1','col2','col3']
mydataframe = pd.DataFrame(data=https://bbs.csdn.net/topics/myarray,index=rowindex,columns=colname)
print(mydataframe['col2'][::-1])
轉載請註明出處,本文鏈接:https://www.uj5u.com/qita/175146.html
