Python: Pandas - The Series Data Structure - Revision history

George2 at 18:15, 28 July 2019

2019-07-28T18:15:37Z

2019-07-28T15:29:25Z

2019-07-28T15:27:39Z

2019-07-28T15:26:09Z

2019-07-28T12:16:04Z

2019-07-28T12:15:11Z

2019-07-28T12:14:35Z

2019-07-28T12:09:55Z

Created page with "<source lang="python"> import pandas as pd pd.Series? </source>"

New page

<source lang="python">
import pandas as pd
pd.Series?

</source>

← Older revision		Revision as of 18:15, 28 July 2019
Line 83:		Line 83:


		+	s[0] #This won't call s.iloc[0] as one might expect, it generates an error instead
		+
		+	s = pd.Series([100.00, 120.00, 101.00, 3.00])
		+	s
		+
		+
		+	total = 0
		+	for item in s:
		+	total+=item
		+	print(total)
		+
		+
		+	import numpy as np
		+
		+	total = np.sum(s)
		+	print(total)
		+
		+
		+	#this creates a big series of random numbers
		+	s = pd.Series(np.random.randint(0,1000,10000))
		+	s.head()
		+
		+	len(s)
		+
		+
		+	%%timeit -n 100
		+	summary = 0
		+	for item in s:
		+	summary+=item
		+
		+
		+	%%timeit -n 100
		+	summary = np.sum(s)
		+
		+
		+	s+=2 #adds two to each item in s using broadcasting
		+	s.head()
		+
		+
		+	for label, value in s.iteritems():
		+	s.set_value(label, value+2)
		+	s.head()
		+
		+
		+	%%timeit -n 10
		+	s = pd.Series(np.random.randint(0,1000,10000))
		+	for label, value in s.iteritems():
		+	s.loc[label]= value+2
		+
		+
		+	%%timeit -n 10
		+	s = pd.Series(np.random.randint(0,1000,10000))
		+	s+=2
		+
		+	s = pd.Series([1, 2, 3])
		+	s.loc['Animal'] = 'Bears'
		+	s
		+
		+
		+	original_sports = pd.Series({'Archery': 'Bhutan',
		+	'Golf': 'Scotland',
		+	'Sumo': 'Japan',
		+	'Taekwondo': 'South Korea'})
		+	cricket_loving_countries = pd.Series(['Australia',
		+	'Barbados',
		+	'Pakistan',
		+	'England'],
		+	index=['Cricket',
		+	'Cricket',
		+	'Cricket',
		+	'Cricket'])
		+	all_countries = original_sports.append(cricket_loving_countries)
		+
		+
		+	original_sports
		+
		+	cricket_loving_countries
		+
		+	all_countries
		+
		+	all_countries.loc['Cricket']
		+
		+	</source>
		+
		+	The DataFrame Data Structure
		+
		+	<source lang="python">


	</source>		</source>

@@ Line 62: / Line 62: @@
 s = pd.Series(sports)
+s
 </source>

@@ Line 51: / Line 51: @@
+s
+sports = {'Archery': 'Bhutan',
+          'Golf': 'Scotland',
 </source>

@@ Line 21: / Line 21: @@
 import numpy as np
 np.nan == None
 </source>

@@ Line 17: / Line 17: @@
 numbers = [1, 2, None]
 pd.Series(numbers)
 </source>

@@ Line 14: / Line 14: @@
 animals = ['Tiger', 'Bear', None]
 pd.Series(animals)
 </source>

@@ Line 1: / Line 1: @@
 <source lang="python">
 import pandas as pd
 pd.Series?
 </source>