我有这个代码,每个时隙的颜色不同,所以它更容易导航。问题是,有时不是所有的插槽都会被填充,然后我在下一个插槽上得到相同的颜色,很难区分哪个插槽是哪个。 如何使这段代码更加优雅,并使python决定何时有下一个槽来更改颜色。我想把那些颜色改成“二进制”。你知道吗
def EPP_Break_boja(row):
color = '#F5EEF8'
if row.values[0] == '06:40':
color = '#EBF5FB '
elif row.values[0] == '07:10':
color = '#FEF9E7 '
elif row.values[0] == '07:40':
color = '#EBF5FB '
elif row.values[0] == '08:10':
color = '#FEF9E7 '
elif row.values[0] == '08:40':
color = '#EBF5FB '
elif row.values[0] == '09:10':
color = '#FEF9E7 '
elif row.values[0] == '09:40':
color = '#EBF5FB '
elif row.values[0] == '10:10':
color = '#FEF9E7 '
elif row.values[0] == '10:40':
color = '#EBF5FB '
elif row.values[0] == '11:10':
color = '#FEF9E7 '
elif row.values[0] == '11:40':
color = '#EBF5FB '
elif row.values[0] == '12:10':
color = '#FEF9E7 '
elif row.values[0] == '12:40':
color = '#EBF5FB '
elif row.values[0] == '13:10':
color = '#FEF9E7 '
elif row.values[0] == '13:40':
color = '#EBF5FB '
elif row.values[0] == '14:10':
color = '#FEF9E7 '
elif row.values[0] == '14:40':
color = '#EBF5FB '
elif row.values[0] == '15:10':
color = '#FEF9E7 '
elif row.values[0] == '15:40':
color = '#EBF5FB '
elif row.values[0] == '16:10':
color = '#FEF9E7 '
elif row.values[0] == '16:40':
color = '#EBF5FB '
elif row.values[0] == '17:10':
color = '#FEF9E7 '
elif row.values[0] == '17:40':
color = '#EBF5FB '
elif row.values[0] == '18:10':
color = '#FEF9E7 '
elif row.values[0] == '18:40':
color = '#EBF5FB '
elif row.values[0] == '19:10':
color = '#FEF9E7 '
elif row.values[0] == '19:40':
color = '#EBF5FB '
elif row.values[0] == '20:10':
color = '#FEF9E7 '
elif row.values[0] == '20:40':
color = '#EBF5FB '
elif row.values[0] == '21:10':
color = '#FEF9E7 '
elif row.values[0] == '21:40':
color = '#EBF5FB '
elif row.values[0] == '22:10':
color = '#FEF9E7 '
elif row.values[0] == '22:40':
color = '#EBF5FB '
elif row.values[0] == '23:10':
color = '#FEF9E7 '
elif row.values[0] == '23:40':
color = '#EBF5FB '
elif row.values[0] == 'Thursday 12-October-2017':
color = '#FDEDEC '
elif row.values[0] == 'Thursday 13-October-2017':
color = '#EAFAF1'
return ['background-color: %s' % color]*len(row.values)
dataframe_spotovi = dataframe_spotovi.style.apply(EPP_Break_boja, axis=1)
dataframe_spotovi
以下方法如何:
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