ross | library written in Python for rotordynamic analysis
kandi X-RAY | ross Summary
kandi X-RAY | ross Summary
ROSS is a library written in Python for rotordynamic analysis. It allows the construction of rotor models and their numerical simulation. Shaft elements, as a default, are modeled with the Timoshenko beam theory, which considers shear and rotary inertia effects, and discretized by means of the Finite Element Method. Disks are assumed to be rigid bodies, thus their strain energy is not taken into account. And bearings/seals are included as linear stiffness/damping coefficients. After defining the elements for the model, you can plot the rotor geometry and runs simulations such as static analysis, Campbell Diagram, mode shapes, frequency response, and time response. You can try it out now by running the tutorial on binder.
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- Generate a model from a fluid
- Calculates the friction and damping coefficients for a fluid
- Calculates the coefficients for a given direction
- Calculates the atmospheric pressure matrix for a given direction
- Run the vehicle
- Calculate the energy transition matrix
- Calculate the matrix M
- Plot the harmonic coefficients
- Return the intersection of two rectangles
- Plot a probe
- Plot mode in 3d
- Run a time response
- Run campbell function
- Run a level 1
- Reads a sheet from a table
- Plot the DFT for a given probe
- Reads a sheft matrix from a table
- R Calculates the velocity of a fluid
- Visualize the transformation matrix
- Plot a 2D spectrum
- Run unbalance response
- Plot a rotation matrix
- Calculates the forward mode of the vehicle
- Run the time integration
- Plot the shape of a shape
- Plot the spectrum
ross Key Features
ross Examples and Code Snippets
Community Discussions
Trending Discussions on ross
QUESTION
I want to create a table that looks like this:
So far I have a table I created to get the value counts but I need help with creating a table that calculates the total value of row 0 and 1. I'm using this dataset: https://github.com/fivethirtyeight/data/tree/master/bob-ross
Code:
...ANSWER
Answered 2022-Apr-02 at 03:26IIUC,
QUESTION
When I run a SELECT statement using Invoke-Sqlcmd, I'd like to choose 1 out of X results to move forward with a loop. In the example below, I have multiple results for 'Bob' and I'd like to choose the appropriate one to continue working with the query to update his favFood (I know I don't have the code there but just giving an example of what I have so far)
...ANSWER
Answered 2022-Mar-29 at 05:23In theory you don't need a loop at all, you could use the SQL IN
operator and pass all the names of $nameList
to your query. Then once you have stored the $result
of your query, you can use Out-GridView -PassThru
to have a popup DataGridView for you to choose a row, which would be stored in $choice
.
QUESTION
ANSWER
Answered 2022-Mar-22 at 06:39var _questions = [
{
"questionText":
"What year was the first Iron Man movie released, kicking off the Marvel Cinematic Universe?",
"answerText": [
{"text": "2005", "score": 5},
{"text": "2008", "score": 6},
{"text": "2010", "score": 7},
{"text": "2012", "score": 8},
]
}
];
QUESTION
...ANSWER
Answered 2022-Mar-18 at 01:56The problem is you have two arrays that you are want to traverse but only one FLATTEN,
thus you need another FLATEN, but the trick here, is that "Kitchen" has only one item in ITEMS which most XML parse incorrectly map to an object (aka this happens in snowflake also).
Thus you have to convert the output of "items" from "Room" to an array before you use it:
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
SQL query to list cities in which employee did not work from below "employee" table:
name city srini seattle ross atlanta rich redmondExample: if I give "srini", query should return "Atlanta" and "Redmond"
I tried below 2 queries with no luck, it returns empty results:
- ...
ANSWER
Answered 2022-Jan-20 at 15:17This should work:
QUESTION
I am trying to write a program that will create a link to the API. To do this, I use bs4
, with which I search for the div I need, but I get an error due to the program not working correctly. I want to find only this coin name
that are in the coin list
. How I can fix it? Please, give me a hand.
My code:
...ANSWER
Answered 2022-Jan-02 at 00:11There are two issues with your code:
- This:
if check_name == coins_list:
will always return false, sincecheck_name
is a string andcoins_list
is a list. You wantif check_name in coins_list:
. baseurl
isn't defined in the code snippet. Change it tourl
.
Perform both these changes, and you should have a nonempty output in your text file. The URLs in this file appear to be well-formed.
QUESTION
So lets say, I have the following dataframe.
...ANSWER
Answered 2021-Dec-29 at 23:29rachefs = df[~(df["Name"] == "RACHEL") | ~(df["Job"] == "CHEF")]
QUESTION
I'm studying for an exam and got stuck on one of the prep questions:
Question:
...The following Prolog-program is a meta-program. Explain why this program is a meta-program and give the output to the three questions to the program:
ANSWER
Answered 2021-Dec-08 at 13:18why is this a meta-program?
See: SWI-Prolog Meta-Call Predicates
Meta-call predicates are used to call terms constructed at run time.
In this case passing in the predicate to call, Fact
, then running it as a goal.
QUESTION
I have a 1GB JSON file I like to convert to CSV format. The file contains information about UK company people with significant control (PSC). file source: http://download.companieshouse.gov.uk/en_pscdata.html
here is a data snippet of PSC Data product:
...ANSWER
Answered 2021-Dec-05 at 18:08Since you are selecting bits of data from different levels of the input objects, you will need to specify the selection more precisely.
As your input consists of a stream of JSON objects, let's start with a function for reading one of those objects:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ross
You can use ross like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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