Introduction to Da
Visualization with
Matplotlib
I N T R O D U C T I O N T O D ATA V I S U A L I Z AT I O N W I T H
Ariel Rokem
Data Scientist
,Data visualization
Image credit: Gytis Dudas and Andrew Rambaut
,Introducing the pyplot interface
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
plt.show()
, Adding data to axes
seattle_weather["MONTH"] seattle_weather["MLY-TAVG-NORMAL"]
DATE 1 42.1
1 Jan 2 43.4
2 Feb 3 46.6
3 Mar 4 50.5
4 Apr 5 56.0
5 May 6 61.0
6 Jun 7 65.9
7 Jul 8 66.5
8 Aug 9 61.6
9 Sep 10 53.3
10 Oct 11 46.2
11 Nov 12 41.1
12 Dec Name: MLY-TAVG-NORMAL, dtype: float64
Name: MONTH, dtype: object
Visualization with
Matplotlib
I N T R O D U C T I O N T O D ATA V I S U A L I Z AT I O N W I T H
Ariel Rokem
Data Scientist
,Data visualization
Image credit: Gytis Dudas and Andrew Rambaut
,Introducing the pyplot interface
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
plt.show()
, Adding data to axes
seattle_weather["MONTH"] seattle_weather["MLY-TAVG-NORMAL"]
DATE 1 42.1
1 Jan 2 43.4
2 Feb 3 46.6
3 Mar 4 50.5
4 Apr 5 56.0
5 May 6 61.0
6 Jun 7 65.9
7 Jul 8 66.5
8 Aug 9 61.6
9 Sep 10 53.3
10 Oct 11 46.2
11 Nov 12 41.1
12 Dec Name: MLY-TAVG-NORMAL, dtype: float64
Name: MONTH, dtype: object
