英文:
Convert date in pandas series
问题
我需要帮助：pandas数据集中有一个日期列。其中一个列中的日期格式为"September 25, 2021"。我无法将其转换为"yyyy-mm-dd"格式（2021-09-25）。这对于将来将这些数据导入到mysql中是必要的（我通过dbever进行工作）。也许这是一个愚蠢的问题，但我是新手。
尝试使用to_datetime函数，但出现了这种错误（IndexError: list index out of range）：
date = {'January': '01', 'February': '02', 'March': '03', 'April': '04', 'May': '05', 'June': '06',
'July': '07', 'August': '08', 'September': '09', 'October': '10', 'November': '11', 'December': '12'}
new_date = []
for d in df['date_added']:
month = d.split(' ')[0]
day = d.split(' ')[1]
year = d.split(', ')[2]
res = year.split('-') + date[month].split('-') + day
new_date.append(res)
英文:
I need help: pandas dataset has a date column. The date in one of the columns is in the format "September 25, 2021 ". I can't convert this to "yyyy-mm-dd" format (2021-09-25). This is necessary in order to import this data into mysql in the future (I work through dbever).
Might be a stupid question but I'm a newbie
Tried to use to_datetime function and this way (IndexError: list index out of range):
date = {'January': '01', 'February': '02', 'March': '03', 'April': '04', 'May': '05', 'June': '06',
'July': '07', 'August': '08', 'September': '09', 'October': '10', 'November': '11', 'December': '12'}
new_date = []
for d in df['date_added']:
month = d.split(' ')[0]
day = d.split(' ')[1]
year = d.split(', ')[2]
res = year.split('-') + date[month].split('-') + day
new_date.append(res)
答案1
得分: 0
你可以使用strftime。以下是一个示例：
date_string = "September 25, 2021"
date = pd.to_datetime(date_string)
formatted_date = date.strftime('%Y-%m-%d')
print(formatted_date) #2021-09-25
英文:
I think you can use strftime. Here is an example:
date_string = "September 25, 2021"
date = pd.to_datetime(date_string)
formatted_date = date.strftime('%Y-%m-%d')
print(formatted_date) #2021-09-25
答案2
得分: 0
import pandas as pd
df = pd.DataFrame({'date_added': ['September 25, 2010', 'April 1, 2023']})
print(df)
print()
# 如果你实际上需要 datetime 对象
df.date_added = pd.to_datetime(df.date_added) # dtype = datetime64[ns]
print(df)
print()
# 重置数据框
df = pd.DataFrame({'date_added': ['September 25, 2010', 'April 1, 2023']})
# 如果你需要一个格式化的字符串
df.date_added = pd.to_datetime(df.date_added).dt.strftime('%Y-%m-%d') # dtype = object
print(df)
英文:
import pandas as pd
df = pd.DataFrame({'date_added': ['September 25, 2010', 'April 1, 2023']})
print(df)
print()
# If you need actually need datetime object
df.date_added = pd.to_datetime(df.date_added) # dtype = datetime64[ns]
print(df)
print()
# reset dataframe
df = pd.DataFrame({'date_added': ['September 25, 2010', 'April 1, 2023']})
# If you need a formatted string
df.date_added = pd.to_datetime(df.date_added).dt.strftime('%Y-%m-%d') # dtype = object
print(df)
Output:
date_added
0 September 25, 2010
1 April 1, 2023
date_added
0 2010-09-25
1 2023-04-01
date_added
0 2010-09-25
1 2023-04-01
答案3
得分: 0
import pandas as pd
df = pd.DataFrame({'date_added': ['September 25, 2010', 'April 1, 2023']})
r = pd.to_datetime(df['date_added'], format='%B %d, %Y')
print(r)
Result
0 2010-09-25
1 2023-04-01
Name: date_added, dtype: datetime64[ns]
英文:
import pandas as pd
df = pd.DataFrame({'date_added': ['September 25, 2010', 'April 1, 2023']})
r = pd.to_datetime(df['date_added'], format='%B %d, %Y')
print(r)
Result
0 2010-09-25
1 2023-04-01
Name: date_added, dtype: datetime64[ns]
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