本笔记来源于B站Up主: 有Li 的影像组学系列教学视频
本节(2)主要介绍: pandas基操
import pandas as pd
import numpy as np
xlsx1_filePath = 'C:/Users/RONG/Desktop/PythonBasic/data_A.xlsx'
xlsx2_filePath = 'C:/Users/RONG/Desktop/PythonBasic/data_B.xlsx'
data_1 = pd.read_excel(xlsx1_filePath)
data_2 = pd.read_excel(xlsx2_filePath)
rows,cols = data_1.shape
print(rows,cols)
# > 10 107
data_1.head(10)
print(data_1.columns)
Index(['original_shape_Elongation', 'original_shape_Flatness',
'original_shape_LeastAxisLength', 'original_shape_MajorAxisLength',
'original_shape_Maximum2DDiameterColumn',
'original_shape_Maximum2DDiameterRow',
'original_shape_Maximum2DDiameterSlice',
'original_shape_Maximum3DDiameter', 'original_shape_MeshVolume',
'original_shape_MinorAxisLength',
...
'original_glszm_SmallAreaHighGrayLevelEmphasis',
'original_glszm_SmallAreaLowGrayLevelEmphasis',
'original_glszm_ZoneEntropy', 'original_glszm_ZonePercentage',
'original_glszm_ZoneVariance', 'original_ngtdm_Busyness',
'original_ngtdm_Coarseness', 'original_ngtdm_Complexity',
'original_ngtdm_Contrast', 'original_ngtdm_Strength'],
dtype='object', length=107)
在P2里，李博士演示了如何下载anaconda并在Jupyter notebook中使用python.
