时间序列图Python [英] Time Series Plot Python
本文介绍了时间序列图Python的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在使用熊猫,我想绘制一个时序图.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.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.
I am using pandas and I want to make a time series plot. I have this dataframe, and I want to plot the date on the x-axis with the number of units on the y-axis. I am assuming I need to convert my date object to a datetime before I can make this plot.
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
推荐答案
As your dates are strings you can use to_datetime
to convert to datetime objects:
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
然后您可以绘制此图:
df.plot(x='date', y='units')
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