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QUESTION
Here are the codes that I use:
...ANSWER
Answered 2020-Jun-05 at 05:28Try adding some sleep time (say 3 seconds) every n
number of tickers.
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
I'd like to calculate % of stocks above rolling mean, therefore, I need to group the data by 'Date' and want to keep the 'Date' column. Percentages are calculated correctly, however, instead of actual dates I'm getting 'NaN' values. The 'Date' column is not the data frame index.
...ANSWER
Answered 2020-Jan-09 at 16:02You have to remove the 'Date'
from the [ ], you are already grouping by it. And don't drop the index, Date
is your new index in your returning dataframe and you want to keep it
QUESTION
I'm building a list of the SP 500 components to save it in a pickle.
I get the items from the link in the code, then get the info I want and build an object for every item.
Here's the problem --> I then want to save each object into a list that I will want to iterate in the future.
The list only stores the last object of the loop, instead of storing each object as it shows up.
It should be fairly easy to do this but I just can't seem to find the answer of why is this happening
...ANSWER
Answered 2019-Nov-11 at 11:50This is all down to your data
object. You initialise it outside the for loop. Since it is a dictionary, it is mutable in python, and when you append it to the list you are simply appending a reference to that data
dict each iteration of the loop, rather than a new dictionary. So at the end the reference just points to the most current version of the dict, hence why it appears to be the same dict multiple times - it IS the same dict.
This page may help to understand what is happening.
Try moving the initialisation of the dict inside the for loop:
QUESTION
I access the Break Menu of eix 1.8.2 by pressing CTRL + C. It looks like this:
...ANSWER
Answered 2019-Jun-21 at 00:10Looking at the source code:
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
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 want to grep with patterns from file containing regex. When the pattern matches, it prints the matched stringa but not the pattern. How can I get the pattern instead matched strings?
pattern.txt
...ANSWER
Answered 2018-Aug-13 at 14:37Using grep
I have no idea but with GNU awk:
QUESTION
I am using scipy.optimize.minimize for a small optimization problem with 9 free variables. My objective function is basically a wrapper around another function, and if I evaluate my objective function, the return type is 'numpy.float32'... which is a scalar? However, I am getting the following error when attempting to use the minimize function:
...ANSWER
Answered 2017-Oct-19 at 17:47Your array EIx
of parameter values is two-dimensional; it has shape (9,1). During the minimization process this array becomes one-dimensional after the first iteration. However, your function beam_shear
does not work if x
is one-dimensional.
You can fix this by changing cross_section
to the following:
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