marathon | platform test runner written for Android and iOS projects | UI Testing library
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kandi X-RAY | marathon Summary
Cross-platform test runner written for Android and iOS projects.
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QUESTION
I have two large-ish data frames I am trying to append...
In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.
In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.
Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.
Edit: dput(df2)
...ANSWER
Answered 2022-Apr-18 at 03:52Here's one way you could turn state abbreviations into state names using R's built in state vectors:
QUESTION
I had a class that was already connected to a csv file so i couldnt add 'marathon' there.
The query was that a club wants to display the number of whole marathons each member has walked. A marathon is 26.22 miles long.
An example of the calculation required is:
If Nikolai Bryant walks 145.6 miles this equates to: 145.6/26.22 miles = 5.59115179 marathons
Nikolai has therefore walked 5 whole marathons.In the above example ‘Nikolai,Bryant,5’ would be stored.
Write “The number of whole marathons walked by each member is” to the results.txt file
Start loop for each record in members() array
Calculate the number of whole marathons walked
Write the forename, surname and the number of whole marathons to the results.txt file and loop
Close the results.txt file
I had this which tried to make marathon a new variable since adding it to the class not in this code would've caused an error
...ANSWER
Answered 2022-Jan-27 at 17:27This line doesn't seem valid to me. marathon
is not an argument of int()
; this code is not creating a variable called marathon
as far as I know. int()
returns an int, but you're not even doing anything with the returned value. You're just throwing it away:
QUESTION
ANSWER
Answered 2021-Dec-05 at 16:36The tab20c
colorbar only has 20 colors which is smaller than your number of categories. One thing you could do though is to concatenate several colormaps together and use it for your plot. I used the approach from this and applied it to your situation. You can find the code below:
QUESTION
I have this local JSON File, which contains title, start and end. I want to create dates from the start and end keys, but a String for the title, so I can create Event objects. Right now I have decoded everything into Strings. So I'm trying to create a custom init, but an error keeps showing up "Return from initializer without initializing all stored properties". Not sure what am I doing wrong
Here's my Event model and my JSONFile
...ANSWER
Answered 2021-Dec-01 at 07:17-> firstly you need to accept proper JSON Data
QUESTION
I am new to SQL and I am trying to solve the following problem:
I have a marathon table with 2 different years, where a marathon took place and a column that describes what athlete participated in a specific year. I want to return the names of the athletes who participated in 2001 but not in 2000. I've tried different queries (exists, not in, and not etc.) so far but none is working.
year athlete 2000 White 2000 Adams 2000 Smith 2001 White 2001 Johnson ...ANSWER
Answered 2021-Nov-15 at 20:40Are you looking for something as simple as
QUESTION
As of now this is what my code looks like (It is not fully finished but to continue on this I would like to get the structure down first) :
(Also more text below)
def Main():
...ANSWER
Answered 2021-Oct-29 at 05:04city = ['City', '________________', 'Boston', 'Montreal', 'Toronto', 'Detroit', 'Mackinaw City', 'Sault Ste. Marie', 'Wawa', 'Marathon', 'Thunder Bay', 'Duluth', 'Minneapolis', 'Fargo', 'Winnipeg', 'Regina', 'Swift Current', 'Medicine Hat', 'Calgary', 'Great Falls', 'Butte', 'Spokane', 'Seattle', 'Vancouver']
state = ['State/Province', '________________', 'Massachusetts', 'Quebec', 'Ontario', 'Michigan', 'Michigan', 'Ontario', 'Ontario', 'Ontario', 'Ontario', 'Minnesota', 'Minnesota', 'North Dakota', 'Manitoba', 'Saskatachewan', 'Saskatachewan', 'Alberta', 'Alberta', 'Montana', 'Montana', 'Washington', 'Washington', 'British Columbia']
miles = [0, 310, 335, 237, 292, 53, 132, 116, 169, 191, 156, 237, 218, 357, 156, 144, 191, 278, 155, 318, 282, 168]
liters = [35.56, 36.23, 24.26, 32.29, 6.47, 14.27, 12.91, 17.77, 20.67, 18.89, 28.96, 25.78, 37.54, 20.36, 17.58, 22.59, 30.74, 19.57, 35.13, 32.37, 21.19]
for a,b,c,d in zip(city, state, miles, liters):
while len(a) < 16:
a += " "
while len(b) < 16:
b += " "
kilometers = c * 1.609344
gallons = d * 3.785411784
print (a,b,c,d)
QUESTION
I don't think this matches any existing question but it seems kind of fundamental.
I have a variable full of ranks. Think of it like people who ran a marathon and their places. But there are lots of draws so there might be 5 firsts and 4 seconds and 9 thirds and so on.
Each case has a variable with their place except the people who finished third are not actually third. They are joint 10th from the above figures. The people who finished second are joint 6th.
How do I create a new variable with the marathon runners actual places in the race?
...ANSWER
Answered 2021-Oct-28 at 06:22If I understand right, you want the Nth place to reflect the number of actual people above in the list? Here is a way to do that:
QUESTION
Sorry, I've only started learn hooks. I can't correctly write it: on page load, must be fetched from localStorage a value of key appData and puts it in the input.
...ANSWER
Answered 2021-Oct-08 at 16:54Just set the initial value to the localStorage value
QUESTION
I have a dataset storing marathon segment splits (5K, 10K, ...) in seconds and identifiers (age, gender, country) as columns and individuals as rows. Each cell for a marathon segment split column may contain either a float (specifying the number of seconds required to reach the segment) or "NaN". A row may contain up to 4 NaN values. Here is some sample data:
...ANSWER
Answered 2021-Aug-25 at 04:56Use DataFrame.interpolate
along axis=1
(rows):
By default it interpolates with
method='linear'
, but many other methods are available:nearest
,quadratic
,cubic
,spline
,polynomial
, etc.The
limit
params are so that it will also interpolate backwards (otherwise if the series begins with anan
like your example, it doesn't get filled)
QUESTION
I have a DataFrame storing marathon segment splits (5K, 10K, ...) and identifiers (age, gender, country) as columns and individuals as rows. Each cell for a marathon segment split column may contain either a string in "HH:MM:SS" format or a "-" (to represent that the marathon segment split data for that individual is invalid or does not exist).
What is the most efficient way of converting all "-" to NaT and "HH:MM:SS" to seconds?
Here is some sample data:
...ANSWER
Answered 2021-Aug-24 at 14:18If you're measuring runtimes, a more appropriate conversion function might be pd.to_timedelta
:
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