使用pandas的pivott_table来处理,参考代码:
import pandas as pd
df=pd.read_excel('F:/practice/p1.xlsx')
print(df)
new=pd.pivot_table(values=['CCO','CCN'],columns='smiles',data=df)
print(new)
运行结果:
smiles NR-AHR NR-AR NR-AR-LBD
CCN 0 0 0
CCO 1 0 0
如有帮助,请点采纳
如果手上有Excel的源文件,下面例子可以帮到你
文件需和python 代码放在一处或者填写绝对地址
import xlrd
import csv
def xlsx_to_csv():
workbook = xlrd.open_workbook('1.xlsx')
table = workbook.sheet_by_index(0)
with codecs.open('1.csv', 'w', encoding='utf-8') as f:
write = csv.writer(f)
for row_num in range(table.nrows):
row_value = table.row_values(row_num)
write.writerow(row_value)
if __name__ == '__main__':
xlsx_to_csv()
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