Python-ValueError：未转换的数据保留：00

Question

我正在使用pd.to_datetime（）方法将一列字符串转换为datetime对象。

> import pandas as pd import numpy as np
> 
> main = pd.read_csv('correctedstats.csv', nrows = 50) main['Date'] =
> pd.to_datetime(main['Date'], format = '%d/%m/%y')

哪个给我以下错误-

追踪（最近一次通话）：文件“ /Users/pranavmarla/jama/lib/python3.6/site-packages/pandas/core/tools/datetimes.py”，第448行，在_convert_listlike_datetimes中值，tz = conversion.datetime_to_datetime64（arg）文件“ pandas / _libs / tslibs / conversion.pyx”，第200行，在pandas._libs.tslibs.conversion.datetime_to_datetime64 TypeError：无法识别的值类型：

在处理以上异常期间，发生了另一个异常：

追踪（最近一次通话）：文件“ mergeDates.py”，第8行，在main ['Date'] = pd.to_datetime（main ['Date']。astype（str），format ='％d /％m /％y'）文件“ /Users/pranavmarla/jama/lib/python3.6/site-packages/pandas/util/_decorators.py”，包装中的第208行返回func（* args，** kwargs）文件“ /Users/pranavmarla/jama/lib/python3.6/site-packages/pandas/core/tools/datetimes.py”，778行，在to_datetime值= convert_listlike（arg._values，True，格式）文件“ /Users/pranavmarla/jama/lib/python3.6/site-packages/pandas/core/tools/datetimes.py”，第451行，在_convert_listlike_datetimes中提高文件“ /Users/pranavmarla/jama/lib/python3.6/site-packages/pandas/core/tools/datetimes.py”，_convert_listlike_datetimes中的第416行arg，格式，确切=精确，错误=错误文件“ pandas / _libs / tslibs / strptime.pyx”，第148行，在pandas._libs.tslibs.strptime.array_strptime ValueError：未转换数据保留：00

日期的格式为'03 / 01/00'

如果我们通过以下方式将日期文本输入到函数中，则代码运行良好

pd.to_datetime('03/01/00', format = '%d/%m/%y')

我在这里做错了什么？

编辑-companystats.csv-

0          1.0             34.0  Asian Paints        15.90  INE021A01026    03/01/00
1          2.0             34.0  Asian Paints        16.06  INE021A01026    04/01/00
2          3.0             34.0  Asian Paints        15.96  INE021A01026    05/01/00
3          4.0             34.0  Asian Paints        15.73  INE021A01026    06/01/00
4          5.0             34.0  Asian Paints        16.07  INE021A01026    07/01/00
5          6.0             34.0  Asian Paints        17.29  INE021A01026    10/01/00
6          7.0             34.0  Asian Paints        17.30  INE021A01026    11/01/00
7          8.0             34.0  Asian Paints        17.40  INE021A01026    12/01/00
8          9.0             34.0  Asian Paints        17.45  INE021A01026  13/01/2000
9         10.0             34.0  Asian Paints        17.08  INE021A01026  14/01/2000
10        11.0             34.0  Asian Paints        17.14  INE021A01026  17/01/2000
11        12.0             34.0  Asian Paints        17.25  INE021A01026  18/01/2000
12        13.0             34.0  Asian Paints        17.47  INE021A01026  19/01/2000
13        14.0             34.0  Asian Paints        17.52  INE021A01026  20/01/2000
14        15.0             34.0  Asian Paints        17.74  INE021A01026  21/01/2000
15        16.0             34.0  Asian Paints        19.10  INE021A01026  24/01/2000
16        17.0             34.0  Asian Paints        20.61  INE021A01026  25/01/2000
17        18.0             34.0  Asian Paints        19.71  INE021A01026  27/01/2000
18        19.0             34.0  Asian Paints        20.03  INE021A01026  28/01/2000
19        20.0             34.0  Asian Paints        19.19  INE021A01026  31/01/2000
20        21.0             34.0  Asian Paints        19.18  INE021A01026    01/02/00
21        22.0             34.0  Asian Paints        19.17  INE021A01026    02/02/00
22        23.0             34.0  Asian Paints        19.00  INE021A01026    03/02/00
23        24.0             34.0  Asian Paints        19.03  INE021A01026    04/02/00

Answer 1

尝试将infer_datetime_format传递为true，这可能是因为您的数据中的日期未采用传递的格式

pd.to_datetime(df['Date'], infer_datetime_format=True) 

或通过错误='忽略'

pd.to_datetime(df['Date'], format = '%d/%m/%y',errors='ignore')