第一次作业，分析weatherdata.csv

数据导入

# 导入pandas模块
import pandas as pd

%matplotlib inline

weather = pd.read_csv('weatherdata.csv',header=0, parse_dates=True,index_col='Date')

数据分析

weather

观察数据头部

weather.head()

观察数据的行数和列数

weather.shape

(365, 7)

weather.columns

Index([u'TemperatureF', u'Humidity', u'SeaLevelPressureIn', u'VisibilityMiles',
       u'WindSpeedMPH', u'CloudCover', u'Events'],
      dtype='object')

weather.index

DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',
               '2013-01-05', '2013-01-06', '2013-01-07', '2013-01-08',
               '2013-01-09', '2013-01-10',
               ...
               '2013-12-22', '2013-12-23', '2013-12-24', '2013-12-25',
               '2013-12-26', '2013-12-27', '2013-12-28', '2013-12-29',
               '2013-12-30', '2013-12-31'],
              dtype='datetime64[ns]', name=u'Date', length=365, freq=None)

数据总体信息

weather.info()

数据的描述统计

weather.describe()

通过画图观察数据

weather.plot()

output_16_1.png

weather.plot(y='TemperatureF')

output_17_1.png