我想是因为iterrows / itertuples都太慢,要改变这种for循环到应用方法。我有一个相当大的数据集。这可能吗?
for index, row in df2.iterrows():
startDateString = str(row['Date'].replace("/",""))
endDateString = str(row['Date'].replace("/",""))
zipcode = str(row['Zip'])
#startDateString = str(startDate)
#endDateString = str(endDate)
print("zip: " + "%s" %zipcode + ", daterange: " + startDateString + " - " + endDateString )
为什么的startDate和结束日期的同一列?
作为格式说明的确然后STR电话是无用的。删除它们会导致:
for index, row in df2.iterrows():
startDate = row['Date'].replace("/","")
endDate = row['Date'].replace("/","")
zipcode = row['Zip']
print("zip: %s, daterange: %s - %s" % (zipcode, startDate, endDate))
适用于()是在大熊猫库中最慢的方法之一。你可以做STR属性调用同样的事情。你并不需要创建所有的变量。
df2['new_column'] = f"""zip: {df2.Zip}, daterange: {df2['Date'].str.replace("/","")} - {df2['Date'].str.replace("/","")}"""
for x in df2.new_column:
print(x)
希望这个作品与您的数据。