reindex

how to reindex a sparse associative array

由 ⅰ亾dé卋堺 提交于 2019-12-08 13:01:42
问题 first off, this question is not related to a specific language - I use Haxe to target multiple platforms - so a pseudo code will be more than enough. here's my problem : I have a sparse Matrix description in this form: edges = [ 1,1,2,1,3,1,4,1, 2,2,3,2, 3,3,4,3,5,3, 4,4,5,4,6,4, 5,5,6,5,7,5,25,5,27,5,28,5,29,5,30,5 ]; this describes edges associations: point 1 is linked to points 1, 2, 3 & 4 point 2 is linked to points 2 & 3 point 3 is linked to points 3, 4 & 5 point 4 is linked to points 4,

Filling missing time values in a multi-indexed dataframe

由 谁说我不能喝 提交于 2019-12-07 15:20:47
问题 Problem and what I want I have a data file that comprises time series read asynchronously from multiple sensors. Basically for every data element in my file, I have a sensor ID and time at which it was read, but I do not always have all sensors for every time, and read times may not be evenly spaced. Something like: ID,time,data 0,0,1 1,0,2 2,0,3 0,1,4 2,1,5 # skip some sensors for some time steps 0,2,6 2,2,7 2,3,8 1,5,9 # skip some time steps 2,5,10 Important note the actual time column is

How to align indexes of many dataframes and fill in respective missing values in Pandas?

由 非 Y 不嫁゛ 提交于 2019-12-07 12:49:59
问题 I have 4 dataframes with data of similar datetime indexes, however in each of them there are few missing lines and I know that the gaps can be filled using previous known data. I would like to 'align' these dataframes so that they have union of indexes of all dataframes and to fill in missing values. I know how to do it for 2 dataframes: df1, df2 = df1.align(df2, axis=0, method='pad') , but what is the good way to do it for more than 2? I have tried this and it does work: df1 = pd.DataFrame({

Why doesn't pandas reindex() operate in-place?

由 非 Y 不嫁゛ 提交于 2019-12-07 10:48:50
问题 From the reindex docs: Conform DataFrame to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False. Therefore, I thought that I would get a reordered Dataframe by setting copy=False in place (!) . It appears, however, that I do get a copy and need to assign it to the original object again. I don't want to assign it back, if I can avoid it (the reason

Using pandas reindex with floats: interpolation

由 混江龙づ霸主 提交于 2019-12-07 08:58:24
问题 Can you explain this bizarre behaviour? df=pd.DataFrame({'year':[1986,1987,1988],'bomb':arange(3)}).set_index('year') In [9]: df.reindex(arange(1986,1988.125,.125)) Out[9]: bomb 1986.000 0 1986.125 NaN 1986.250 NaN 1986.375 NaN 1986.500 NaN 1986.625 NaN 1986.750 NaN 1986.875 NaN 1987.000 1 1987.125 NaN 1987.250 NaN 1987.375 NaN 1987.500 NaN 1987.625 NaN 1987.750 NaN 1987.875 NaN 1988.000 2 In [10]: df.reindex(arange(1986,1988.1,.1)) Out[10]: bomb 1986.0 0 1986.1 NaN 1986.2 NaN 1986.3 NaN 1986

Magento 1.7 cannot reindex product flat data

由 这一生的挚爱 提交于 2019-12-06 11:27:44
问题 Magento 1.7 cannot reindex product flat data... I get the following error when trying to reindex my database. Product Flat Data index process unknown error: exception 'PDOException' with message 'SQLSTATE[23000]: Integrity constraint violation: 1452 Cannot add or update a child row: a foreign key constraint fails (`d014505f`.<result 2 when explaining filename '#sql-1f6c_39a11d'>, CONSTRAINT `FK_CAT_PRD_FLAT_1_ENTT_ID_CAT_PRD_ENTT_ENTT_ID` FOREIGN KEY (`entity_id`) REFERENCES `catalog_product

How to align indexes of many dataframes and fill in respective missing values in Pandas?

由 非 Y 不嫁゛ 提交于 2019-12-05 21:15:42
I have 4 dataframes with data of similar datetime indexes, however in each of them there are few missing lines and I know that the gaps can be filled using previous known data. I would like to 'align' these dataframes so that they have union of indexes of all dataframes and to fill in missing values. I know how to do it for 2 dataframes: df1, df2 = df1.align(df2, axis=0, method='pad') , but what is the good way to do it for more than 2? I have tried this and it does work: df1 = pd.DataFrame({'values': 1}, index=pd.DatetimeIndex(['2016-06-01', '2016-06-03'])) df2 = pd.DataFrame({'values': 2},

Does schema change require reindex of all Solr documents or just documents containing the changed schema fields?

由 泪湿孤枕 提交于 2019-12-05 16:51:30
I have millions of documents in my Solr index. Only a thousand of those documents have field A, whose schema I want to change. The schema changes include changing multiValued from true to false, stored from false to true, and type from text to string, things that require re-index. Re-indexing the thousand documents will take me a few minutes, where-as re-indexing everything will take days. The re-indexing page on Solr wiki ( http://wiki.apache.org/solr/HowToReindex ) says "you may need to delete all documents before you begin your indexing process", but doesn't say when you don't. Can I delete

Splatpacking versus array_values() to re-index an array with numeric keys

由 ￣綄美尐妖づ 提交于 2019-12-04 22:07:51
As of PHP7.4, there is a newly available technique to re-index an array with numeric keys. I'll call it " array re-packing " or maybe something fun like " splatpacking ". The simple process involves using the splat operator ( ... ) -- aka " spread operator " -- to unpack an array then fills a new array with with the contents. Comparison Code: ( Demo ) $array = [2 => 4, 5 => 3, "3" => null, -10.9 => 'foo']; var_export(array_values($array)); var_export([...$array]); Both will output: array ( 0 => 4, 1 => 3, 2 => NULL, 3 => 'foo', ) Again, the splatpacking technique is strictly limited to arrays

Magento Reindex Products

由 南楼画角 提交于 2019-12-04 20:56:32
Recently I ran into a problem regarding Re-index in Magento. My store has around 40,000 products and If I change a status of a single product, changes are not reflected on frontend as it needs reindexing of all Indexes. Moreoever reindexing takes a hell lot of time (around an hour) and I am thinking of a permanent issue. What does "Save on Update" mode in Reindex specifies ? Does it help in reindexing while saving the product ? Whats the difference between manual update and update on save ? Please help. Thanks in advance. Use the " Update On Save " re-indexing mode, it will do re-index on the
订阅 reindex