Python for Data Science

Chapter 4 - Practical Data Visualization

Segment 5 - Visualizing time series

import numpy as np
from numpy.random import randn
import pandas as pd
from pandas import Series, DataFrame

import matplotlib.pyplot as plt
from pylab import rcParams

%matplotlib inline
rcParams['figure.figsize'] = 5, 4

The simplest time series plot

address = '~/Data/Superstore-Sales.csv'

df = pd.read_csv(address, index_col='Order Date',encoding='cp1252', parse_dates=True)
df.head()

	Row ID	Order ID	Order Priority	Order Quantity	Sales	Discount	Ship Mode	Profit	Unit Price	Shipping Cost	Customer Name	Province	Region	Customer Segment	Product Category	Product Sub-Category	Product Name	Product Container	Product Base Margin	Ship Date
Order Date
2010-10-13	1	3	Low	6	261.5400	0.04	Regular Air	-213.25	38.94	35.00	Muhammed MacIntyre	Nunavut	Nunavut	Small Business	Office Supplies	Storage & Organization	Eldon Base for stackable storage shelf, platinum	Large Box	0.80	10/20/2010
2012-10-01	49	293	High	49	10123.0200	0.07	Delivery Truck	457.81	208.16	68.02	Barry French	Nunavut	Nunavut	Consumer	Office Supplies	Appliances	1.7 Cubic Foot Compact "Cube" Office Refrigera...	Jumbo Drum	0.58	10/2/2012
2012-10-01	50	293	High	27	244.5700	0.01	Regular Air	46.71	8.69	2.99	Barry French	Nunavut	Nunavut	Consumer	Office Supplies	Binders and Binder Accessories	Cardinal Slant-D® Ring Binder, Heavy Gauge Vinyl	Small Box	0.39	10/3/2012
2011-07-10	80	483	High	30	4965.7595	0.08	Regular Air	1198.97	195.99	3.99	Clay Rozendal	Nunavut	Nunavut	Corporate	Technology	Telephones and Communication	R380	Small Box	0.58	7/12/2011
2010-08-28	85	515	Not Specified	19	394.2700	0.08	Regular Air	30.94	21.78	5.94	Carlos Soltero	Nunavut	Nunavut	Consumer	Office Supplies	Appliances	Holmes HEPA Air Purifier	Medium Box	0.50	8/30/2010

df['Order Quantity'].plot()

<matplotlib.axes._subplots.AxesSubplot at 0x7eff835be588>

df2 = df.sample(n=100, random_state=25, axis=0)

plt.xlabel('Order Date')
plt.ylabel('Order Quantity')
plt.title('Superstore Sales')

df2['Order Quantity'].plot()

<matplotlib.axes._subplots.AxesSubplot at 0x7eff8145ce10>

Refer to: https://docs.python.org/2/library/datetime.html