CoPA | Cascading plus City of Palo Alto open data
kandi X-RAY | CoPA Summary
kandi X-RAY | CoPA Summary
Cascading plus City of Palo Alto open data
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Top functions reviewed by kandi - BETA
- Utility function to print out the hash table
- Decode the geohash
- Decode a geohash
- Gets precision
- Performs a function operation
- Encode a latitude and longitude into a string
- Main method
- Performs the operation
- Performs the operation on a given function call
- Operations on a function call
- Calculate the distance from a point to a line
CoPA Key Features
CoPA Examples and Code Snippets
Community Discussions
Trending Discussions on CoPA
QUESTION
print(df.sample(50)):
match_datetime country league home_team away_team home_odds draw_odds away_odds run_time home_score away_score
72170 2021-10-17 12:30:00 Ukraine Persha Liga Alliance Uzhhorod 1.22 5.62 9.71 2021-10-17 09:22:20.212731 NaN NaN
100398 2021-11-02 14:35:00 Saudi Arabia Division 1 Al Qadisiya Bisha 1.61 3.61 4.94 2021-11-02 09:13:18.768604 2.0 1.0
33929 2021-09-11 23:00:00 Panama LPF Veraguas Plaza Amador 2.75 2.75 2.71 2021-09-10 23:47:54.682982 1.0 1.0
12328 2021-08-15 15:30:00 Poland Ekstraklasa Slask Wroclaw Leczna 1.74 3.74 4.59 2021-08-14 22:44:26.136608 0.0 0.0
81500 2021-10-24 13:00:00 Italy Serie D - Group A Caronnese Saluzzo 1.69 3.60 4.28 2021-10-23 13:37:16.920175 2.0 2.0
143370 2021-12-05 14:00:00 Poland Division 1 Chrobry Glogow Widzew Lodz 3.36 3.17 2.15 2021-11-30 17:40:24.833519 0.0 0.0
175061 2022-01-08 18:00:00 Spain Primera RFEF - Group 1 R. Union Extremadura UD 1.26 4.40 18.00 2022-01-08 17:00:46.662761 0.0 1.0
21293 2021-08-29 16:00:00 Italy Serie B Cittadella Crotone 2.32 3.11 3.31 2021-08-26 18:04:46.221393 4.0 2.0
97427 2021-11-01 17:00:00 Israel Leumit League M. Nazareth Beitar Tel Aviv 1.92 3.26 3.75 2021-10-30 09:40:08.966330 4.0 2.0
177665 2022-01-13 12:30:00 Egypt Division 2 - Group C Said El Mahalla Al Magd 4.12 3.08 1.94 2022-01-12 17:53:33.570126 0.0 0.0
69451 2021-10-17 05:00:00 South Korea K League 1 Gangwon Gwangju FC 2.06 3.38 3.65 2021-10-15 09:55:54.578112 NaN NaN
4742 2021-08-10 20:30:00 Peru Liga 2 Deportivo Coopsol Grau 3.14 3.49 2.06 2021-08-10 18:14:01.996860 0.0 2.0
22266 2021-08-29 13:00:00 France Ligue 1 Angers Rennes 2.93 3.27 2.56 2021-08-27 12:26:34.904374 2.0 0.0
46412 2021-09-26 04:00:00 Japan J2 League Okayama Blaublitz 2.24 2.90 3.63 2021-09-23 09:08:26.979783 1.0 1.0
133207 2021-11-27 21:15:00 Bolivia Division Profesional Palmaflor Blooming 1.51 4.05 5.10 2021-11-25 18:22:28.275844 3.0 0.0
140825 2021-11-28 11:00:00 Spain Tercera RFEF - Group 6 Valencia B Torrellano 1.58 3.56 5.26 2021-11-28 19:54:40.066637 2.0 0.0
226985 2022-03-04 00:30:00 Argentina Copa de la Liga Profesional Central Cordoba Rosario Central 2.36 3.26 2.86 2022-03-02 17:23:10.014424 0.0 1.0
137226 2021-11-28 12:45:00 Greece Super League 2 Apollon Pontou PAOK B 3.37 3.25 2.01 2021-11-27 15:13:05.937815 0.0 3.0
182756 2022-01-22 10:30:00 Turkey 1. Lig Umraniyespor Menemenspor 1.40 4.39 7.07 2022-01-19 17:25:27.128331 2.0 1.0
89895 2021-10-28 16:45:00 Netherlands KNVB Beker Ajax Cambuur 9.10 5.55 1.26 2021-10-27 07:46:56.253996 0.0 5.0
227595 2022-03-06 17:00:00 Israel Ligat ha'Al Ashdod Maccabi Petah Tikva 2.30 3.21 3.05 2022-03-02 17:23:10.014424 NaN NaN
57568 2021-10-02 13:00:00 Estonia Meistriliiga Kalju Legion 1.58 4.10 4.84 2021-10-02 10:55:35.287359 2.0 2.0
227035 2022-03-04 19:00:00 Denmark Superliga FC Copenhagen Randers FC 1.70 3.84 5.06 2022-03-02 17:23:10.014424 NaN NaN
108668 2021-11-07 13:30:00 Germany Oberliga Mittelrhein Duren Freialdenhoven 1.35 5.20 6.35 2021-11-06 17:37:37.629603 2.0 0.0
86270 2021-10-25 18:00:00 Belgium Pro League U21 Lommel SK U21 Lierse K. U21 3.23 3.84 1.92 2021-10-26 01:22:31.111441 0.0 0.0
89437 2021-11-01 02:10:00 Colombia Primera A America De Cali Petrolera 1.86 2.92 4.60 2021-10-27 07:41:24.427246 NaN NaN
13986 2021-08-21 13:00:00 France Ligue 2 Dijon Toulouse 3.92 3.51 1.94 2021-08-16 13:22:02.749887 2.0 4.0
105179 2021-11-06 15:00:00 England NPL Premier Division Atherton South Shields 3.90 3.42 1.82 2021-11-05 10:01:28.567328 1.0 1.0
142821 2021-12-01 12:30:00 Bulgaria Vtora liga Marek Septemvri Simitli 1.79 3.38 4.35 2021-11-30 17:40:24.833519 2.0 2.0
45866 2021-09-24 00:30:00 Venezuela Primera Division Dep. Tachira Portuguesa 1.96 3.60 3.22 2021-09-23 09:08:26.979783 4.0 1.0
76100 2021-10-22 16:30:00 Denmark 1st Division Hvidovre IF Koge 1.91 3.56 3.81 2021-10-21 08:43:12.445245 NaN NaN
115896 2021-11-14 16:00:00 Spain Tercera RFEF - Group 6 Olimpic Xativa Torrellano 2.78 2.89 2.39 2021-11-13 12:21:45.955738 1.0 0.0
156159 2021-12-12 16:00:00 Spain Segunda RFEF - Group 1 Marino de Luanco Coruxo FC 2.19 3.27 3.07 2021-12-10 09:26:45.001977 0.0 0.0
18240 2021-08-21 12:00:00 Germany Regionalliga West Rodinghausen Fortuna Koln 3.25 3.60 2.00 2021-08-21 03:30:43.193978 NaN NaN
184913 2022-01-22 10:00:00 World Club Friendly Zilina B Trinec 3.56 4.14 1.78 2022-01-22 16:44:32.650325 0.0 3.0
16782 2021-08-22 23:05:00 Colombia Primera A Petrolera Dep. Cali 3.01 3.00 2.44 2021-08-19 18:24:24.966505 2.0 3.0
63847 2021-10-10 09:30:00 Spain Tercera RFEF - Group 7 Carabanchel RSD Alcala 4.39 3.42 1.75 2021-10-09 12:03:50.720013 NaN NaN
7254 2021-08-12 16:45:00 Europe Europa Conference League Hammarby Cukaricki 1.72 3.87 4.13 2021-08-11 23:48:31.958394 NaN NaN
82727 2021-10-24 14:00:00 Lithuania I Lyga Zalgiris 2 Neptunas 1.76 3.78 3.35 2021-10-24 12:02:06.306279 1.0 3.0
43074 2021-09-22 18:00:00 Ukraine Super Cup Shakhtar Donetsk Dyn. Kyiv 2.57 3.49 2.59 2021-09-19 09:39:56.624504 NaN NaN
65187 2021-10-11 18:45:00 World World Cup Norway Montenegro 1.56 4.17 6.28 2021-10-11 10:56:09.973470 NaN NaN
120993 2021-11-18 00:00:00 USA NISA Maryland Bobcats California Utd. 2.76 3.23 2.39 2021-11-17 20:36:26.562731 1.0 1.0
201469 2022-02-12 15:00:00 England League One AFC Wimbledon Sunderland 3.30 3.48 2.17 2022-02-10 17:47:36.501159 1.0 1.0
142180 2021-12-01 19:45:00 Scotland Premiership St. Mirren Ross County 2.06 3.25 3.85 2021-11-29 18:28:22.249662 0.0 0.0
4681 2021-08-10 18:30:00 Europe Champions League Young Boys CFR Cluj 1.48 4.29 6.92 2021-08-10 18:14:01.996860 3.0 1.0
67321 2021-10-17 13:00:00 Spain LaLiga Rayo Vallecano Elche 1.78 3.64 4.99 2021-10-13 11:22:34.979378 NaN NaN
27499 2021-09-04 14:00:00 Iceland Inkasso-deildin Kordrengir Fjolnir 2.18 3.66 2.82 2021-09-02 23:28:49.414126 1.0 4.0
48962 2021-09-25 21:00:00 Mexico Liga Premier Serie B Uruapan Lobos Huerta 1.83 3.69 3.70 2021-09-25 13:02:58.238466 NaN NaN
65636 2021-10-16 17:00:00 Switzerland Super League Young Boys Luzern 1.26 6.04 9.43 2021-10-11 10:56:09.973470 NaN NaN
17333 2021-08-21 14:00:00 Finland Kakkonen Group A Atlantis Kiffen 1.57 4.29 4.42 2021-08-20 12:41:03.159846 1.0 1.0
ANSWER
Answered 2022-Mar-05 at 01:38If I understand correctly, you would like to filter the dataframe to retain, for each run_time, the last two rows (or up to two rows) by match_datetime.
Simplified answer
This can be done relatively easily without any join, using GroupBy.tail(). (Note, my original answer was using GroupBy.rank(), but this is simpler, although slower):
QUESTION
I have values from column A to column L, to collect these values I am using the following procedure:
ANSWER
Answered 2022-Jan-29 at 02:12In your situation, how about the following modification? In this modification, the length of each row is set as the same length.
From:QUESTION
I have a dataframe with many columns.
I want to do something like the summary tool in Alteryx. i.e. a simple group by. I am not interested in the statistics like mean or count or size.
I dont want a hierarchial output
How can I do it?
...ANSWER
Answered 2021-Dec-08 at 23:43If you want to create a dataframe with two columns which shows which country has which league, then select the relevant columns and .drop_duplicates method:
QUESTION
Here is my initial dataframe:
...ANSWER
Answered 2021-Nov-13 at 07:38As suggested in the comments, you could try like this:
QUESTION
I need to create an array of strings, each representing a card of the Spanish deck:
...ANSWER
Answered 2021-Oct-19 at 22:56In C, memory on the stack is allocated in terms of Scopes. So yes, your theory is right. You are rewriting on the same location.
To fix your program, there are two possible solutions I can think of.
- You can use Multidimensional Arrays.
- Or you can allocate memory in heap using
malloc(but make sure to free it once you are done with it)
QUESTION
I am using geom_text_repel. Here is the code
...ANSWER
Answered 2021-Oct-11 at 11:18To specify a literal size, rather than a variable that should be mapped to it, you remove the aes to get:
QUESTION
function Looping() {
var sheet = SpreadsheetApp.getActive().getSheetByName('Clock'),
range,
values_array;
range = sheet.getRange('A2:A');
values_array = range.getValues();
var loop = JSON.stringify(values_array);
for (var key in loop) {
var column = SpreadsheetApp.getActiveSpreadsheet().getRange('B2:B');
var values = column.getValues();
var ct = 0;
while ( values[ct] && values[ct][0] != "" ) {
ct++;
}
var webpage = UrlFetchApp.fetch(key).getContentText();
sheet.getRange(ct+2, 2).setValue(webpage);
}
}
ANSWER
Answered 2021-Sep-01 at 11:56var loop = JSON.stringify(values_array);
QUESTION
I'm trying to collect the text in a if href contains venue/, so I tried to do it this way:
ANSWER
Answered 2021-Aug-13 at 08:11It seems like the issue is right on the first line, as the “venue” variable does not return what you expect.
I propose you select the anchor you are looking for by getting the last element of type a in the div you provided and assign the value of its href attribute to a variable called venue. After that, check if the venue variable is equal to venue/. If the condition returns true, get the anchor’s inner text, assign it to a variable called result and log it.
You can make it work by using the following code:
QUESTION
CheerioGS project:
https://github.com/tani/cheeriogs
I would like to know how I can send the lineup values to Column A of the spreadsheet and substitute for Column B of the spreadsheet, I am learning to work with CheerioGS
So far I've learned to save the results in Logger.log(), but I don't understand how to send them to the spreadsheet cells!
ANSWER
Answered 2021-Aug-12 at 02:18Here an Example:
QUESTION
I am starting with python and I am trying to code a card game where a user and computer play for 5 rounds. User and computer have to get one random card from the deck I created and the winner is the one with the highest card.
I have several problems in my code.
For example, when I create the whole deck I get this output for the "bastos" cards:
"8 de bastos", "9 de bastos", "10 de bastos" and "11 de bastos" instead of "sota de bastos", "caballo de bastos", "rey de bastos" and "as de bastos".
It only happens with "bastos" because it is my first variable in the list. But I do not know how to fix this.
Then I also have a problem with the result:
...ANSWER
Answered 2021-May-11 at 20:46Some issues:
for c in cartawill iterate each character ofcarta. That is not what you intended.- Changing
nafter you have assigned a value tocarta, will not changecarta. - When comparing
carta_humano > carta_ordenador, you are comparing those strings, and so for example "rey" will be regarded greater than "as". You need to compare the numeric values of the cards. - "sotas" must be quoted
I would suggest creating a class for a card, that will be like a tuple with rank and suit properties, and which has a __repr__ method that will take care of generating the "nice" name. By defining it as a tuple, the order is based on the first member (rank), which is what we need.
I would also not shuffle and pick a random card. If you have already shuffled the deck, you can just take the last card. That is just as random as selecting a random one. You put the selected card back on the deck, but in my opinion that is overkill. There are cards enough to play 5 rounds, so don't bother putting them back. But that is just my opinion. It is not essential for your question.
The final elif can be just an else as there is only one possibility left.
Here is how it could work:
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See the Leiningen build script in project.clj and Cascalog source in the src/main/clj/copa directory. Note that this depends on Cascalog 1.9 or later, Leiningen 2.0 or later, JVM 1.6, and Apache Hadoop 1.x.
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