Pandas łączą kolumnę z dnia miesiąca
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2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")
Dark Duck
1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")