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Pavel Alekseyevich Sykora (, born February 7, 1975) is a Russian former professional ice hockey defenceman who played in the National Hockey League with the Colorado Avalanche. He was drafted in the third round (71st overall) in the 1995 NHL Entry Draft by the Avalanche.
Playing career
Undrafted, Sykora attended and played for the Spitfires of the Ontario Hockey League (OHL) for three years, where he was drafted 27th overall in the 1993 OHL Priority Draft. Despite being drafted by the Spits, he still opted to start college at as well. When he returned to the OHL in 1994–95 he began his professional career, scoring 15 points (six goals and nine assists) in 22 games. He was then drafted in the third round (71st overall) in the 1995 NHL Entry Draft by the Colorado Avalanche.
Upon joining the Avalanche in 1995–96, Sykora spent most of the first half of the campaign in the club’s AHL affiliate, the Hershey Bears. He spent the majority of the second half of the season in the NHL with the Avalanche, appearing in 28 regular season games and scoring 7 goals and 6 assists. He also played a large part in the playoffs for the Avalanche, as he scored a goal in the 1999 Western Conference Finals against the Dallas Stars.
Sykora continued to be an AHL regular in 1999–2000, again appearing in 28 regular season games, scoring 5 goals and 10 assists. He also provided a boost on the powerplay
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Jel’ to isto kao njihov rok? [14:43, 7. 01. 2017. Replika PDF] Thank you for typing that.Q:
Break up numpy array list of strings and turn into a dictionary
I have a variable that is a list of strings that is delimited by a space. For example,
arr = [“H9A 2016”, “H9B 2016”, “H9C 2016”]
How can I turn this into a dictionary with the keys as shown in the example below.
dict = {“H9A”:2016, “H9B”:2016, “H9C”:2016}
The only way that I know how to do this is to turn the variable into a numpy array and then use split. Is there a better way to do this?
import numpy as np
arr = np.array([“H9A 2016”, “H9B 2016”, “H9C 2016”])
dict = np.array([[[‘H9A’, ‘2016’]], [[‘H9B’, ‘2016’]], [[‘H9C’, ‘2016’]]])
Thanks in advance.
A:
Using str.split is essentially your best option – even if you create a different data structure (e.g. list of lists), numpy will perform that operation for you.
There is a slight overhead to the listoflists structure, but if you need to use it in your code (rather than just to store the result in) then there’s no other way to do it.
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