读取 csv 以将时间转换为时间戳时出错答案

【问题标题】：Error reading csv to convert time to timestamp读取 csv 以将时间转换为时间戳时出错
【发布时间】：2020-10-17 21:12:51
【问题描述】：

我有以下 csv 结构文件。

时间

01/01/2010 00:00

01/01/2010 00:10

... 消费和消费2文件都是相同的（唯一的区别是行号）。第一列对应于时间格式 01/01/2010 00:00:00。以下 199 列对应于需求值。我认为问题出在第一列格式。

代码如下：

import matplotlib.pyplot as plt
import numpy as
from sklearn.cluster import KMeans
import datetime as dt
import matplotlib.patches as mpatches
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
data=pd.read_csv('Consumption.csv',header=None, sep='\n')#, sep='\t')
data.head()
data['Timestamp']=pd.to_datetime(data['Time'])
plt.figure(num=1, figsize=(10,5))
data.Timestamp.plot() #Plotting the newly added timestamp column
plt.xlabel('Reading Count')
plt.ylabel('Date')
plt.show()

我尝试将时间转换为时间戳，但由于出现以下错误，我无法绘制数据：我似乎是时间戳的问题。您对如何解决这个问题有什么建议吗？

1 #Converting time to timestamp ( a datetime object)
----> 2 data['Timestamp']=pd.to_datetime(data['Time'])
3 
4 # Ensuring there are no temporal gaps
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
~/opt/anaconda3/envs/python3b/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2645 try:
-> 2646 return self._engine.get_loc(key)
2647 except KeyError:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index_class_helper.pxi in pandas._libs.index.Int64Engine._check_type()
KeyError: 'Time'
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-9-9b4c885821b2> in <module>
1 #Converting time to timestamp ( a datetime object)
----> 2 data['Timestamp']=pd.to_datetime(data['Time'])
3 
4 # Ensuring there are no temporal gaps
5 plt.figure(num=1, figsize=(10,5))
~/opt/anaconda3/envs/python3b/lib/python3.6/site-packages/pandas/core/frame.py in __getitem__(self, key)
2798 if self.columns.nlevels > 1:
2799 return self._getitem_multilevel(key)
-> 2800 indexer = self.columns.get_loc(key)
2801 if is_integer(indexer):
2802 indexer = [indexer]
~/opt/anaconda3/envs/python3b/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2646 return self._engine.get_loc(key)
2647 except KeyError:
-> 2648 return self._engine.get_loc(self._maybe_cast_indexer(key))
2649 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
2650 if indexer.ndim > 1 or indexer.size > 1:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index_class_helper.pxi in pandas._libs.index.Int64Engine._check_type()
KeyError: 'Time'

【问题讨论】：

您确定您传递的列名正确吗？
是的，我确定。第一列名为“时间”，它包含的值格式为 01/01/2010 00:00。第二列名为 H1，第三列 H2 等。我真的不知道如何解决这个问题。完整的 cvs 文件在这里：github.com/charlicruz/Energy-Demand。非常感谢

标签： python pandas dataframe csv matplotlib

【解决方案1】：

您导入数据文件的代码不正确（恕我直言）。也可以直接将 Time 列转换为 datetime 以节省一些步骤

data=pd.read_csv('https://raw.githubusercontent.com/charlicruz/Energy-Demand/master/consumption.csv',
                 header=0, sep=';', 
                 parse_dates=[0], index_col=0,
                 decimal=','
                )
data.plot(y='Household 1')

【讨论】：