应用样式器后如何删除列?这是我的样式函数:
def highlight_late(x):
c1 = 'background-color: red'
#condition
m = x['price_1'] < x['price_main_x']
m2 = x['price_2'] < x['price_main_x']
m3 = x['price_3'] < x['price_main_x']
#empty DataFrame of styles
df1 = pd.DataFrame('', index=x.index, columns=x.columns)
#set column price_2 by condition
df1.loc[m, 'price_1'] = c1
df1.loc[m2, 'price_2'] = c1
df1.loc[m3, 'price_3'] = c1
df1.loc[m, 'url_x'] = c1
df1.loc[m2, 'url_y'] = c1
df1.loc[m3, 'url'] = c1
return df1
下面的方法返回类型错误:“Styler”对象不支持项目删除
styles = myDF.style.apply(highlight_late, axis=None)
del styles['price_1']
del styles['price_2']
del styles['price_3']
styles.to_excel('test.xlsx')
我也尝试:
mydf.style.hide_columns(['price_1', 'price_2', 'price_3']).to_excel('test.xlsx')
这是行不通的,列不会隐藏。
即使是这个简单的脚本https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.hide_columns.html https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.hide_columns.html行不通
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"])
df.style.hide_columns(["a", "b"])
df.to_excel('test2.xlsx')