[英]Value error when converting different date formats to one single format
Hello I have a date column on my dataset which looks like this您好,我的数据集上有一个日期列,如下所示
import pandas as pd
# initialize list of lists
data = [['2020-11-05 00:00:00'], ['4/24/20'],['5/26/19'], ['2019-08-12 00:00:00']]
# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['date'])
# print dataframe.
df
Now I want to convert all the date format to on single format of dd-mm-yyyy , which I have tried with this code现在我想将所有日期格式转换为dd-mm-yyyy 的单一格式,我已经尝试使用此代码
df['date']= df['date'].astype(str)
import datetime
def guess_date(string):
for fmt in ["%m/%d/%Y", "%d-%m-%Y", "%Y-%m-%d"]:
try:
return datetime.datetime.strptime(string, fmt).date()
except ValueError:
continue
raise ValueError(string)
for sample in df['date']:
d = guess_date(sample)
print(d.strftime("%d-%m-%y"))
I get this error when I try to run it ValueError: 2020-11-05 00:00:00 .当我尝试运行它时出现此错误ValueError: 2020-11-05 00:00:00 。 Kindly anyone to help on this?请有人帮忙吗?
I expect all date formats to be one as dd-mm-yyyy我希望所有日期格式都是dd-mm-yyyy
You should add two formats more in formats array.您应该在格式数组中添加两种格式。 The changed code is as follows.修改后的代码如下。
import pandas as pd
import datetime
data = [['2020-11-05 00:00:00'], ['4/24/20'],['5/26/19'], ['2019-08-12 00:00:00']]
df = pd.DataFrame(data, columns = ['date'])
df['date']= df['date'].astype(str)
print(df)
def guess_date(string):
# added "%m/%d/%y" and "%Y-%m-%d %H:%M:%S"
for fmt in ["%m/%d/%Y", "%m/%d/%y", "%d-%m-%Y", "%Y-%m-%d", "%Y-%m-%d %H:%M:%S"]:
try:
return datetime.datetime.strptime(string, fmt).date()
except ValueError:
continue
raise ValueError(string)
for sample in df['date']:
d = guess_date(sample)
print(d.strftime("%d-%m-%y"))
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