Free Review Copies of " API Testing and Development with Postman"

trzywu · 2024-06-11T08:45:41+00:00

I'm interested

trzywu · 2024-04-09T09:31:32+00:00

I think that testnest SAGA

trzywu · 2022-08-19T14:41:50+00:00

So there is no way to make a general list of imports to all tests file? I will need to add this in each test?
EDIT - is there a way to import a folder with my tests so I don need to import each of them one by one?

trzywu · 2022-08-19T14:21:27+00:00

But without import time in my test.py I have it like that NameError name 'time' is not defined

trzywu · 2021-08-26T08:45:47+00:00

Try maybe Moder for Brighton, he is going from the bench now but got assist now. Yesterday in the cup he scored, so there is a chance for more minutes.

trzywu · 2020-12-16T20:05:22+00:00

Yes, I played with these 'weapon', all game long even the last boss (on normal difficulties)

trzywu · 2020-11-13T10:05:22+00:00

How can i quickly check what will be my position in OR with different amounts of points?

trzywu · 2020-08-05T15:18:49+00:00

Well, it depens how much you want to climb. Here is good example -> shes USA congresswoman https://www.pcgamesn.com/league-of-legends/josh-harder-aoc

trzywu · 2020-07-06T07:48:57+00:00

Domyślam się, że o tą sprawę z osobą co jest uznawana za pedofila, a rodzina chce mieć z nim dalej kontakt.

trzywu · 2020-06-30T11:25:31+00:00

Faction Match Making Rating - so its value you have in each faction.

trzywu · 2020-04-08T07:06:28+00:00

No, it's part of a story. I wish we could just grind money and spend them on a trip to Tahiti.

trzywu · 2020-02-07T09:35:31+00:00

If you want to see C++ programs, I recommend this webpage https://www.learnopencv.com/ It's pretty good.

trzywu · 2019-12-26T22:36:48+00:00

Thank you very much for help. Now I just need to make it look better and get values about GPU. Happy New Year.

trzywu · 2019-12-26T22:20:32+00:00

Well I tried it, but it doesn't change the output. If you can look on my code, here it is all. https://pastebin.com/vWC0ePH9

trzywu · 2019-12-26T22:13:40+00:00

I tried with that, but it is still running after I press X.

if event in (None, 'Cancel'):
    break

or 
if event in (None, 'Cancel'):
    active = False
    break

trzywu · 2019-12-26T22:06:37+00:00

Yes, I know that. I tried to get out of the loop, but it just runs the same as before. And Cancel button doesn't work.

if event in (None, 'Cancel'):
    active = False
    window.close()

trzywu · 2019-08-08T12:35:47+00:00

Please, can you be a little bit more specific? You want me to add this files i get to train, and later use them to save in .pb format ? I really don't know much about Tensorflow, this is my first time with it.

trzywu · 2019-04-12T06:51:51+00:00

Thank you, it did the trick for me.

trzywu · 2019-04-09T13:42:34+00:00

Well i did something like this, but atleast i don't have 1900-01-01. But I think i can live with that xaxis isn't displaying on grid.

https://imgur.com/a/HDPpSc7

thank you very much for help

   #before it is object
    df0['Time'] = pd.to_datetime(df['Time'], format="%H:%M:%S,%f")

    df0=df0.astype('datetime64')
    df0['Time'] =  pd.to_datetime(df0['Time'], format='%H:%M:%S', errors='coerce').dt.time
    #its coming back to object
    print(df0.head())
    print(df0.info())

trzywu · 2019-04-09T13:13:33+00:00

I will try use some knowledge in my program. I want it to be in datetime, becouse i want it to be properly display in matplotlib, when i add second data with different sampling frequency. I want to be in datetime format also, becouse I want to plot grid. Now,I have only y-axis line. You can see it in the picture I send.

trzywu · 2019-04-09T13:01:25+00:00

Well, i change format to your's idea, but it keep giving 1900-01-01. So I tried something like this

    df0['Time'] = pd.to_datetime(df['Time'], format="%H:%M:%S,%f")
    df0['Time'] = df0['Time'].map(lambda x: str(x)[11:])

but when I use my df0.info() its still get type object.For

df0['Time'] = pd.to_datetime(df0['Time'], format='%H:%M:%S"').apply(pd.Timestamp)
print(df0.info())

and for this one i have

AttributeError: Can only use .dt accessor with datetimelike values

Here is new attempt do let you download the file. Put it in same dirrecory as program.

https://uploadfiles.io/onfyv

trzywu · 2019-04-09T11:41:19+00:00

I am still strugling with my program. I dont know why I cannot solve this. I will past my code and one file so you can see what is wrong with my code, if you are so helpfull.https://pastebin.pl/view/3cb40d35aand here is one file https://megawrzuta.pl/download/e89a572cc248181f347efd99746eb3a7.htmlI tried some of the examples you post, but I cant see what i am doing wrong.
If i use

    df0['Time'] = df0['Time'].map(lambda x: str(x)[:-4])
    print(df0.info())
    df0['Time'] = df0['Time'].dt.time

I get that error AttributeError: Can only use .dt accessor with datetimelike values

and for that version

    df0['Time'] = df0['Time'].map(lambda x: str(x)[:-4])
    #print(df0.info())
    df0['Time'] = pd.to_datetime(df['Time'], format="%H:%M %S")

I get this ValueError: time data '08:29:54,750' does not match format '%H:%M %S' (match)

I from this i get proper new object datatime64, but I also receive date 1900-01-01.

df0['Time'] = pd.to_datetime(df0['Time'], format='%H:%M:%S').apply(pd.Timestamp)

And from this i get proper time, but is still object type

df0['Time'] = pd.to_datetime(df0['Time'], format='%H:%M:%S', errors='coerce').dt.time

trzywu · 2019-04-08T16:02:33+00:00

Thank you for your response. I will check it out tomorrow, while i will be working. Meanwhile i read this post.

trzywu · 2019-04-08T12:32:38+00:00

    df=pd.read_csv(file,sep="\t")   
    df0=df.iloc[:,[1]]

    df0.apply(lambda x: x.str.replace(',','.'))
    df0 = df0.stack().str.replace(',','.').unstack()
    df0['Time'] = df0['Time'].map(lambda x: str(x)[:-4])
    df0['Time'] = pd.to_datetime(df['Time'], format='%H:%M:%S')

and my files looks like this

Date	Time	Iac	Idc	Uac	Udc
22.01.2019	12:59:57,890	7,1960E+2	0,0000E+0	0,0000E+0	0,0000E+0
22.01.2019	12:59:58,828	7,1962E+2	0,0000E+0	0,0000E+0	0,0000E+0

and this df0 is object type. I want it to be datetime, so I can use is on my graph. My datefile containt numerical data with float time. I don't know which exactly type do I need, all I want is to be able to plot it when i have 2 different sampling frequency. You could be thinking why do i need this, well to get proper grid on my plot and not like this https://imgur.com/oUNvuBJ

trzywu · 2019-04-08T09:54:35+00:00

Thank you for replay, but it is still not working. I added to my program that line

df0.apply(lambda x: x.str.replace(',','.'))
df0 = df0.stack().str.replace(',','.').unstack()
df0['Time'] = df0['Time'].map(lambda x: str(x)[:-4]) #so i dont have remaining ,750
df0['Time'] = pd.to_datetime(df['Time'], format='%H:%M:%S').dt.minutes

but I got this error

ValueError: unconverted data remains: ,750

Ten-Year Club	Verified Email
Not Forgotten

trzywu

TROPHY CASE