cinf | Command line tool to view namespaces | Continuous Deployment library
kandi X-RAY | cinf Summary
kandi X-RAY | cinf Summary
This is cinf, short for container info, a command line tool to view namespaces and cgroups, the stuff that makes up Linux containers such as Docker, rkt/appc, or OCI/runc. It might be useful for low-level container prodding, when you need to understand what's going on under the hood. Read more here: Containers are a lie ….
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QUESTION
Here is my code
...ANSWER
Answered 2021-Jun-10 at 10:00Seems you should just be using some conditional aggregation:
QUESTION
I have a simple jinja
file called test.cinf.j2
as below.
ANSWER
Answered 2020-Nov-26 at 21:14try this, take care of that the lookup read file on the controller node. so this work if the values.txt is on the controller node.
QUESTION
I have exception while try to decrypt file :
...ANSWER
Answered 2020-Sep-06 at 06:26The reason this exception - not supported hash algorithm - defined in russian standard GOST R 34.11-2012 or STREEBOG. So because I have CryptoPro licence I use cryptcp.exe with command line parameters ...
QUESTION
I've trying make the key of the index become a column for a while. I've tried df.to_frame()
and other variations without success.
For reproducibility:
...ANSWER
Answered 2020-Jul-27 at 02:11Just need to alter your index first, then stack.
QUESTION
I have some data in lists which looks like:
...ANSWER
Answered 2020-Apr-07 at 15:48This is less than elegant, but I believe it works.
QUESTION
I am currently attempting to run a for loop on about 500 stock tickers and attempting to create a chart for all of them. I have succeeded in doing this but my for loop breaks on this error Error in runSum(x, n) : n = 20 is outside valid range: [1, 5]
I got the stock tickers from BatchGetSymbols library.
Here is my script at the bottom is my for loop:
...ANSWER
Answered 2020-Apr-05 at 00:49After downloading the data, I get the following warning message:
QUESTION
My aim is to download stock prices using the quantmod library for a large number of ticker symbols (~700) and merge the results in a single dataframe which I will save as a csv file. I have a list of ticker symbols but not all of them are downloadable by quantmod.
So when I pass the list with the ticker symbols to the getSymbols() method, once it encounters a problem with a particular ticker symbol it stops and returns an exception. I am trying to circumvent this behavior with a for loop and the try method, but I fail.
Let's look at some code:
When I try to download two ticker symbols that are downloadable and then merge them into one xts object I succeed:
...ANSWER
Answered 2019-Apr-18 at 08:59Here is a code I tried. It seems working (although I tried only a subset of the vector):
QUESTION
I have written a code to calculate RMSE error between observed and simulated data. But I want to do this only for the month of January only. The text file has data with date in first column, simulated data in 2nd column and observed data in 3rd column.
The format of data is as below:
...ANSWER
Answered 2019-Jan-21 at 22:19I find very useful the packages data.table and lubridate for dealing with this kind of problems:
QUESTION
import pandas as pd
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import pandas_datareader.data as web
tickers
['MMM', 'ABT', 'ABBV', 'ACN', 'ATVI', 'AYI', 'ADBE', 'AMD', 'AAP', 'AES', 'AET', 'AMG', 'AFL', 'A', 'APD', 'AKAM', 'ALK', 'ALB', 'ARE', 'ALXN', 'ALGN', 'ALLE', 'AGN', 'ADS', 'LNT', 'ALL', 'GOOGL', 'GOOG', 'MO', 'AMZN', 'AEE', 'AAL', 'AEP', 'AXP', 'AIG', 'AMT', 'AWK', 'AMP', 'ABC', 'AME', 'AMGN', 'APH', 'APC', 'ADI', 'ANDV', 'ANSS', 'ANTM', 'AON', 'AOS', 'APA', 'AIV', 'AAPL', 'AMAT', 'APTV', 'ADM', 'ARNC', 'AJG', 'AIZ', 'T', 'ADSK', 'ADP', 'AZO', 'AVB', 'AVY', 'BHGE', 'BLL', 'BAC', 'BK', 'BAX', 'BBT', 'BDX', 'BRK.B', 'BBY', 'BIIB', 'BLK', 'HRB', 'BA', 'BWA', 'BXP', 'BSX', 'BHF', 'BMY', 'AVGO', 'BF.B', 'CHRW', 'CA', 'COG', 'CDNS', 'CPB', 'COF', 'CAH', 'CBOE', 'KMX', 'CCL', 'CAT', 'CBG', 'CBS', 'CELG', 'CNC', 'CNP', 'CTL', 'CERN', 'CF', 'SCHW', 'CHTR', 'CHK', 'CVX', 'CMG', 'CB', 'CHD', 'CI', 'XEC', 'CINF', 'CTAS', 'CSCO', 'C', 'CFG', 'CTXS', 'CLX', 'CME', 'CMS', 'KO', 'CTSH', 'CL', 'CMCSA', 'CMA', 'CAG', 'CXO', 'COP', 'ED', 'STZ', 'COO', 'GLW', 'COST', 'COTY', 'CCI', 'CSRA', 'CSX', 'CMI', 'CVS', 'DHI', 'DHR', 'DRI', 'DVA', 'DE', 'DAL', 'XRAY', 'DVN', 'DLR', 'DFS', 'DISCA', 'DISCK', 'DISH', 'DG', 'DLTR', 'D', 'DOV', 'DWDP', 'DPS', 'DTE', 'DRE', 'DUK', 'DXC', 'ETFC', 'EMN', 'ETN', 'EBAY', 'ECL', 'EIX', 'EW', 'EA', 'EMR', 'ETR', 'EVHC', 'EOG', 'EQT', 'EFX', 'EQIX', 'EQR', 'ESS', 'EL', 'ES', 'RE', 'EXC', 'EXPE', 'EXPD', 'ESRX', 'EXR', 'XOM', 'FFIV', 'FB', 'FAST', 'FRT', 'FDX', 'FIS', 'FITB', 'FE', 'FISV', 'FLIR', 'FLS', 'FLR', 'FMC', 'FL', 'F', 'FTV', 'FBHS', 'BEN', 'FCX', 'GPS', 'GRMN', 'IT', 'GD', 'GE', 'GGP', 'GIS', 'GM', 'GPC', 'GILD', 'GPN', 'GS', 'GT', 'GWW', 'HAL', 'HBI', 'HOG', 'HRS', 'HIG', 'HAS', 'HCA', 'HCP', 'HP', 'HSIC', 'HSY', 'HES', 'HPE', 'HLT', 'HOLX', 'HD', 'HON', 'HRL', 'HST', 'HPQ', 'HUM', 'HBAN', 'HII', 'IDXX', 'INFO', 'ITW', 'ILMN', 'IR', 'INTC', 'ICE', 'IBM', 'INCY', 'IP', 'IPG', 'IFF', 'INTU', 'ISRG', 'IVZ', 'IQV', 'IRM', 'JEC', 'JBHT', 'SJM', 'JNJ', 'JCI', 'JPM', 'JNPR', 'KSU', 'K', 'KEY', 'KMB', 'KIM', 'KMI', 'KLAC', 'KSS', 'KHC', 'KR', 'LB', 'LLL', 'LH', 'LRCX', 'LEG', 'LEN', 'LUK', 'LLY', 'LNC', 'LKQ', 'LMT', 'L', 'LOW', 'LYB', 'MTB', 'MAC', 'M', 'MRO', 'MPC', 'MAR', 'MMC', 'MLM', 'MAS', 'MA', 'MAT', 'MKC', 'MCD', 'MCK', 'MDT', 'MRK', 'MET', 'MTD', 'MGM', 'KORS', 'MCHP', 'MU', 'MSFT', 'MAA', 'MHK', 'TAP', 'MDLZ', 'MON', 'MNST', 'MCO', 'MS', 'MOS', 'MSI', 'MYL', 'NDAQ', 'NOV', 'NAVI', 'NTAP', 'NFLX', 'NWL', 'NFX', 'NEM', 'NWSA', 'NWS', 'NEE', 'NLSN', 'NKE', 'NI', 'NBL', 'JWN', 'NSC', 'NTRS', 'NOC', 'NCLH', 'NRG', 'NUE', 'NVDA', 'ORLY', 'OXY', 'OMC', 'OKE', 'ORCL', 'PCAR', 'PKG', 'PH', 'PDCO', 'PAYX', 'PYPL', 'PNR', 'PBCT', 'PEP', 'PKI', 'PRGO', 'PFE', 'PCG', 'PM', 'PSX', 'PNW', 'PXD', 'PNC', 'RL', 'PPG', 'PPL', 'PX', 'PCLN', 'PFG', 'PG', 'PGR', 'PLD', 'PRU', 'PEG', 'PSA', 'PHM', 'PVH', 'QRVO', 'PWR', 'QCOM', 'DGX', 'RRC', 'RJF', 'RTN', 'O', 'RHT', 'REG', 'REGN', 'RF', 'RSG', 'RMD', 'RHI', 'ROK', 'COL', 'ROP', 'ROST', 'RCL', 'CRM', 'SBAC', 'SCG', 'SLB', 'SNI', 'STX', 'SEE', 'SRE', 'SHW', 'SIG', 'SPG', 'SWKS', 'SLG', 'SNA', 'SO', 'LUV', 'SPGI', 'SWK', 'SBUX', 'STT', 'SRCL', 'SYK', 'STI', 'SYMC', 'SYF', 'SNPS', 'SYY', 'TROW', 'TPR', 'TGT', 'TEL', 'FTI', 'TXN', 'TXT', 'TMO', 'TIF', 'TWX', 'TJX', 'TMK', 'TSS', 'TSCO', 'TDG', 'TRV', 'TRIP', 'FOXA', 'FOX', 'TSN', 'UDR', 'ULTA', 'USB', 'UAA', 'UA', 'UNP', 'UAL', 'UNH', 'UPS', 'URI', 'UTX', 'UHS', 'UNM', 'VFC', 'VLO', 'VAR', 'VTR', 'VRSN', 'VRSK', 'VZ', 'VRTX', 'VIAB', 'V', 'VNO', 'VMC', 'WMT', 'WBA', 'DIS', 'WM', 'WAT', 'WEC', 'WFC', 'HCN', 'WDC', 'WU', 'WRK', 'WY', 'WHR', 'WMB', 'WLTW', 'WYN', 'WYNN', 'XEL', 'XRX', 'XLNX', 'XL', 'XYL', 'YUM', 'ZBH', 'ZION', 'ZTS']
data_source = 'google'
start='2017-01-01'
end = '2018-01-01'
for i in tickers:
web.DataReader(i, data_source, start, end).to_csv(i+'.csv')
...ANSWER
Answered 2018-Feb-22 at 11:17Well, for some reason, Google don't seem to have the day-series price data for Lockheed Martin for 2017 (the ticker symbol your query failed on.)
Also, Google don't like automated queries on financial data: if I run your code I regularly get a response including the text "We're sorry... but your computer or network may be sending automated queries. To protect our users, we can't process your request right now."
If you just want the price data, one simple answer is to use Yahoo instead. Here's a test program (based on your code) that I ran on Yahoo, to check for how many of your symbols it could supply price data:
QUESTION
I have a text file with the following data:
...ANSWER
Answered 2018-Aug-22 at 03:23Your problem starts here:
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