reindex

问题 I'm trying to add column headers with empty values to my dataframe (just like this answer), but within a function that is already modifying it, like so: mydf = pd.DataFrame() def myfunc(df): df['newcol1'] = np.nan # this works list_of_newcols = ['newcol2', 'newcol3'] df = df.reindex(columns=df.columns.tolist() + list_of_newcols) # this does not return myfunc(mydf) If I run the lines individually in an IPython console, it will add them. But run as a script, newcol1 will be added but 2 and 3

问题 I'm trying to upsample weekly data to daily data, however, I'm having difficulty upsampling the last edge. How can I go about this? import pandas as pd import datetime df = pd.DataFrame({'wk start': ['2018-08-12', '2018-08-12', '2018-08-19'], 'car': [ 'tesla model 3', 'tesla model x', 'tesla model 3'], 'sales':[38000,98000, 40000]}) df['wk start'] = df['wk start'].apply(lambda x: datetime.datetime.strptime(x, '%Y-%m-%d')) df.set_index('wk start').groupby('car').resample('D').pad() This

来源： https://stackoverflow.com/questions/62452340/transforming-data-frame-in-python

问题 I want to trasnform the following data frame: ID 1234 type band category 0 A B C to: ID type band category 1234 A B C where ID is the index column 回答1: Try df.stack(0).reset_index().drop('level_0', axis=1) Output: ID Type band category 0 1234 A B C 来源： https://stackoverflow.com/questions/62580244/data-frame-index-transformation-in-pandas

问题 I have a series. index = pd.MultiIndex.from_tuples([('bar', 'one'), ('bar', 'two'), ('baz', 'one'), ('baz', 'two'), ('foo', 'one'), ('foo', 'two'), ('qux', 'one'), ('qux', 'two')], names=['first', 'second']) np.random.seed(0) s = pd.Series(np.random.randn(8), index=index) first second bar one 1.764052 two 0.400157 baz one 0.978738 two 2.240893 foo one 1.867558 two -0.977278 qux one 0.950088 two -0.151357 dtype: float64 When I reindex by level 1. s.reindex(['two','one','three'],level=1) first

问题 I have an index in elasticsearch 6.x, I want to copy this index to new elastic search 7. I tried using elasticsearch-dump:v6.24.0 & _reindex api. I was able to copy the data from the source index, but not all the fields/properties are getting fully copied. It seems to skip few of them. where am I going wrong ? This is the _reindex request. POST _reindex { "source": { "remote": { "host": "http://prodsystem:9200" }, "index": "file", "query": { "match_all": {} } }, "dest": { "index": "filebkp" }

问题 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

问题 I have a Magento site in which the cross-selling products do not seem to be appearing. After looking on Stack and Google it seems that 'reindexing the data' has solved this issue for a lot of individuals. My question is, are there any risks associated with performing this task? Or is it a relatively straight forward procedure? 回答1: Indexing is a fundamental part of Magento and will not effect your site in a negative way. Magento uses a complex EAV (entity-attribute-value) database structure

问题 I'm quite new to ElasticSearch. I'm trying to reindex a index in order to rename it. I'm using NEST API v5.4. I saw this example: var reindex = elasticClient.Reindex<Customer>(r => r.FromIndex("customers-v1") .ToIndex("customers-v2") .Query(q => q.MatchAll()) .Scroll("10s") .CreateIndex(i => i.AddMapping<Customer>(m => m.Properties(p => p.String(n => n.Name(name => name.Zipcode).Index(FieldIndexOption.not_analyzed)))))); Source : http://thomasardal.com/elasticsearch-migrations-with-c-and-nest

问题 I have the following df: Timestamp A B C ... 2014-11-09 00:00:00 NaN 1 NaN NaN 2014-11-09 00:00:00 2 NaN NaN NaN 2014-11-09 00:00:00 NaN NaN 3 NaN 2014-11-09 08:24:00 NaN NaN 1 NaN 2014-11-09 08:24:00 105 NaN NaN NaN 2014-11-09 09:19:00 NaN NaN 23 NaN And I would like to make the following: Timestamp A B C ... 2014-11-09 00:00:00 2 1 3 NaN 2014-11-09 00:01:00 NaN NaN NaN NaN 2014-11-09 00:02:00 NaN NaN NaN NaN ... NaN NaN NaN NaN 2014-11-09 08:23:00 NaN NaN NaN NaN 2014-11-09 08:24:00 105 NaN