filtering

问题 I'm trying to do 2d wavelet filtering in python. I found out about PyWavelets and I have been messing around with it for awhile. I am trying to do the transformation for 4 levels. When I print it out it gives werid output and I'm not sure exactly what is going on. I've tried a few things but this is the latest as an example: test = pywt.dwt2(picture,'db1') Any help on preforming 2d wavelets on images with PyWavelets or just in general would be much appreciated. Thank you. Edit: The type of

问题 I have some div´s in my page (build with php+jquery) and I want to filter them according to their attributes (if there´s more than 1 attribute filtering, than it will narrow down the search). The div´s look like this: <div id="solicitacoes"> <div id='1' title='Mike' status='18' analista='23'>Whatever content 1</div> <div id='2' title='John' status='16' analista='46'>Whatever content 2</div> <div id='3' title='Tom' status='2' analista='49'>Whatever content 3</div> <div id='4' title='Mike'

问题 I have some div´s in my page (build with php+jquery) and I want to filter them according to their attributes (if there´s more than 1 attribute filtering, than it will narrow down the search). The div´s look like this: <div id="solicitacoes"> <div id='1' title='Mike' status='18' analista='23'>Whatever content 1</div> <div id='2' title='John' status='16' analista='46'>Whatever content 2</div> <div id='3' title='Tom' status='2' analista='49'>Whatever content 3</div> <div id='4' title='Mike'

问题 I have some div´s in my page (build with php+jquery) and I want to filter them according to their attributes (if there´s more than 1 attribute filtering, than it will narrow down the search). The div´s look like this: <div id="solicitacoes"> <div id='1' title='Mike' status='18' analista='23'>Whatever content 1</div> <div id='2' title='John' status='16' analista='46'>Whatever content 2</div> <div id='3' title='Tom' status='2' analista='49'>Whatever content 3</div> <div id='4' title='Mike'

问题 I've made an iOS App to range the beacons. I've noticed that the RSSI value from beacons is fluctuating randomly with time. In order to get smooth RSSI value, I am trying to use Kalman filter. In Kalman filter equations as described here, the measurement noise (R) can be calculated by measuring variance from series of RSSI values and the process noise (Q) can be assumed as negligible. However, I couldn't figure out exact idea about the estimate of error variance (P) in the equation. Since my

问题 I've made an iOS App to range the beacons. I've noticed that the RSSI value from beacons is fluctuating randomly with time. In order to get smooth RSSI value, I am trying to use Kalman filter. In Kalman filter equations as described here, the measurement noise (R) can be calculated by measuring variance from series of RSSI values and the process noise (Q) can be assumed as negligible. However, I couldn't figure out exact idea about the estimate of error variance (P) in the equation. Since my

问题 I need to filter an object by multiple values. Example of object: items: [ { url: "https://...", id: "1693", type: "ABC", currencyCode: "SEK", longName: "Abc", name: "ABC", micCode: "DEF", listingDate: "2018-05-25T00:00:00+02:00", subType: "STOCK", market: { id: "NOROTC" }, } ..... If I filter one value it's fine: var market = data.filter(item => item.market.id === 'NOROTC'); But what I need to do is something like: var market = data.filter(item => item.market.id === 'NOROTC' && item.market

问题 I need to filter an object by multiple values. Example of object: items: [ { url: "https://...", id: "1693", type: "ABC", currencyCode: "SEK", longName: "Abc", name: "ABC", micCode: "DEF", listingDate: "2018-05-25T00:00:00+02:00", subType: "STOCK", market: { id: "NOROTC" }, } ..... If I filter one value it's fine: var market = data.filter(item => item.market.id === 'NOROTC'); But what I need to do is something like: var market = data.filter(item => item.market.id === 'NOROTC' && item.market

问题 I have two excel sheets. One contains summaries and the other contains categories with potential filter words. I need to assign categories to the first dataframe if any element matches in the second dataframe. I have attempted to expand the list in the second dataframe and map by matching the terms to any words in the first dataframe. Data for the test. import pandas as pd data1 = {'Bucket':['basket', 'bushel', 'peck', 'box'], 'Summary':['This is a basket of red apples. They are sour.', 'We

问题 I have dataframe that has so many columns that i'm not able to specify column names one by one when filtering. So i need to filter all of the columns at once. And I want to leave the columns to dataframe that doesn't have any values over 50. I have transposed my dataframe but that doesn't help. I have also removed commas from my dataframe and that doesn't help either (i made numbers as integers and took that into consideration that i have to use 50000 insted of 50 in that case). Below is