Ria*_*ves 6 loops python-itertools dataframe python-3.x pandas
我有一个这样的数据框:
ORDER_NO 2401 2504 2600
2020020 2019-12-04 2019-12-10 2019-12-12
2020024 2019-12-25 NaN 2019-12-20
2020034 NaN NaN 2019-12-20
2020020 2019-12-12 2019-12-15 2019-12-18
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我正在从上述数据框创建 XML。我想删除填充到 XML 中的空值。我的代码应该从 XML 中删除该特定的列和行值。
我的代码
header = """<ORD>{}</ORD>"""
body ="""
<osi:ORDSTSINF types:STSCDE="{}">
<DTM>{}</DTM>"""
cols = df.columns
for row in df.itertuples():
with open(f'{row[1]}.xml', 'w') as f:
f.write(header.format(row[1]))
for c, r in zip(row[2:], cols[1:]):
f.write(body.format(r, c))
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记录 2 的电流输出
<ORD>2020024</ORD>
<osi:ORDSTSINF types:STSCDE="2401">
<DTM>2019-12-25</DTM>
<osi:ORDSTSINF types:STSCDE="2504">
<DTM>NaN</DTM>
<osi:ORDSTSINF types:STSCDE="2600">
<DTM>2019-12-20</DTM>
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记录 2 的预期输出
<ORD>2020024</ORD>
<osi:ORDSTSINF types:STSCDE="2401">
<DTM>2019-12-25</DTM>
<osi:ORDSTSINF types:STSCDE="2600">
<DTM>2019-12-20</DTM>
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这如何在 Python 中完成?
stack自然地丢弃空值
header = """<ORD>{}</ORD>"""
body ="""
<osi:ORDSTSINF types:STSCDE="{}">
<DTM>{}</DTM>"""
for o, d in df.set_index('ORDER_NO').stack().groupby('ORDER_NO'):
with open(f'{o}.xml', 'w') as f:
f.write(header.format(o))
for (o, s), date in d.iteritems():
f.write(body.format(s, date))
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df.set_index('ORDER_NO').stack()
ORDER_NO
2020020 2401 2019-12-04
2504 2019-12-10
2600 2019-12-12
2020024 2401 2019-12-25
2600 2019-12-20
2020034 2600 2019-12-20
2020020 2401 2019-12-12
2504 2019-12-15
2600 2019-12-18
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您的解决方案可以使用 if
header = """<ORD>{}</ORD>"""
body ="""
<osi:ORDSTSINF types:STSCDE="{}">
<DTM>{}</DTM>"""
cols = df.columns
for row in df.itertuples():
with open(f'{row[1]}.xml', 'w') as f:
f.write(header.format(row[1]))
for c, r in zip(row[2:], cols[1:]):
if pd.notna(c):
f.write(body.format(r, c))
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