[英]Time Series Plot Python
I am using pandas and I want to make a time series plot. 我正在使用熊猫,并且想绘制一个时序图。 I have this dataframe, and I want to plot the date on the x-axis with the number of units on the y-axis. 我有这个数据框,我想在x轴上绘制日期,在y轴上绘制单位数。 I am assuming I need to convert my date object to a datetime before I can make this plot. 我假设我需要先将日期对象转换为日期时间,然后才能进行此绘图。
df1_99.dtypes
date object
store_nbr int64
units int64
tavg int64
preciptotal float64
dtype: object
df1_99
date store_nbr units tavg preciptotal
101885 2014-10-13 1 2 49 0.00
101996 2014-10-14 1 1 67 0.00
102107 2014-10-15 1 0 70 0.00
102218 2014-10-16 1 0 67 0.87
102329 2014-10-17 1 3 65 0.01
As your dates are strings you can use to_datetime
to convert to datetime objects: 由于日期是字符串,因此可以使用to_datetime
转换为datetime对象:
In [4]:
df['date'] = pd.to_datetime(df['date'])
df.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 101885 to 102329
Data columns (total 5 columns):
date 5 non-null datetime64[ns]
store_nbr 5 non-null int64
units 5 non-null int64
tavg 5 non-null int64
preciptotal 5 non-null float64
dtypes: datetime64[ns](1), float64(1), int64(3)
memory usage: 240.0 bytes
You can then plot this: 然后可以绘制以下内容:
df.plot(x='date', y='units')
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