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Crysis is a first-person shooter video game developed by Crytek and published in 2010 for Microsoft Windows, PlayStation 3, and Xbox 360.
Crysis 3’s single-player campaign lets you play as Prophet online and see how the series’ signature slow-mo gameplay applies to the single-player.
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All the files are in “zip format” with both English and Russian text files in the folder. Crysis 3: Lost Island English and Russian Language Packs.
Crysis 2: Warhead is a downloadable content pack for the Crysis 2 video game. The Lost Island expansion for Crysis 2: Warhead adds four new maps,
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There is a new DLC package for Crysis 3 Crysis 3: Lost Island which is currently available on the Xbox 360 platform.
Crysis 3: The Lost Island expansion for Crysis 3 brings new multiplayer maps and weapons to the game, but it also brings with it the Crytek’s English language pack to .
Download the English Patch for Crysis 2: Warhead ( Crytek Game) in 1.22 GB by downloading for free.
Crysis 2: Warhead is a downloadable content pack for the Crysis 2 video game. The Lost Island expansion for Crysis 2: Warhead adds four new maps,
Crysis 3 lost island DLC pack. On 1st April 2014 Crysis 3 DLC will be available for download, including the Lost Island.
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Crysis 3 Crysis 3 is a first-person shooter video game developed by Crytek and published in 2013 by Electronic Arts for Microsoft Windows, PlayStation 3, and Xbox 360
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Error reading data from pandas dataframe
I have a dataframe with columns “userid”, “IP”, “session”, “devices.regarded” and “users.distinct”
When I try to read the data from this dataframe using a code like this:
df = pd.read_csv(‘./data/ip.csv’)
I get the error:
ValueError: could not convert string to float:
COCOSO.07_05-18
It is not possible to convert this string to a float so I’m looking for a way to turn this into a string. I tried some solutions like stripping non-numerical character, but I still don’t manage to change this error.
The file contains the data below:
userid,IP,session,devices.regarded,users.distinct
1,10.0.0.20,400,1,1
2,10.0.0.19,400,1,1
A:
replace multiple spaces (\s+) in IP column with one space (^) and you should be good to go:
‘^IP^’
df = pd.read_csv(‘./data/ip.csv’, sep=’^’, header=None, names=[‘userid’, ‘IP’,’session’, ‘devices.regarded’, ‘users.distinct’], skiprows=1, squeeze=True)
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