data-processing

问题 We have a table in Big Query like below. Input table: Name | Interests -----+---------- Bob | ["a"] Sue | ["a","b"] Joe | ["b","c"] We want to convert the above table to below format to make it BI/Visualisation friendly. Target/Required table: +------------------+ | Name | a | b | c | +------------------+ | Bob | 1 | 0 | 0 | | Sue | 1 | 1 | 0 | | Joe | 0 | 1 | 0 | +------------------+ Note: The Interests column is an array datatype. Is this sort of transformation possible in Big Query? If yes

问题 We have a table in Big Query like below. Input table: Name | Interests -----+---------- Bob | ["a"] Sue | ["a","b"] Joe | ["b","c"] We want to convert the above table to below format to make it BI/Visualisation friendly. Target/Required table: +------------------+ | Name | a | b | c | +------------------+ | Bob | 1 | 0 | 0 | | Sue | 1 | 1 | 0 | | Joe | 0 | 1 | 0 | +------------------+ Note: The Interests column is an array datatype. Is this sort of transformation possible in Big Query? If yes

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 3 days ago . Improve this question I am processing a CSV file. So the format in my CSV file is: 2020-10-26T03:45:00Z (example). How do I read this format to process the entire Excel sheet? for eg: for a date, we can time = datetime.strptimerow[0],'%Y/%d/%m') How can I use it similarly for my given format? here

问题 I render a pandas multi-index into an html table. When rendering, after I passed a specific index X I want to add a separator line into the table. I can do this manually by editing the final html file: /* .... Index X .... */ <tr> <td colspan="20" class="divider"><hr /></td> </tr> /* .... Index Y .... */ This produces the desired result: . Question Is there any way to capture this in code? I want to avoid going through each HTML table I create, adding those lines manually. 回答1: You can

问题 +---+---+---+---+----+ | A | B | C | D | E | +---+---+---+---+----+ | 1 | 2 | 3 | 4 | VK | | 1 | 4 | 6 | 9 | MD | | 2 | 5 | 7 | 9 | V | | 2 | 3 | 5 | 8 | VK | | 2 | 3 | 7 | 9 | V | | 1 | 1 | 1 | 1 | N | | 0 | 1 | 6 | 9 | V | | 1 | 2 | 5 | 7 | VK | | 1 | 7 | 8 | 0 | MD | | 1 | 5 | 7 | 9 | VK | | 0 | 1 | 6 | 8 | V | +---+---+---+---+----+ i want to select a row based on column value and its two previous rows. For example in the given dataset (on the picture) I want to select row based on 'E'

问题 I have a folder trip_data contains many csv file with date, which looks like this: trip_data/ ├── df_trip_20140803_1.csv ├── df_trip_20140803_2.csv ├── df_trip_20140803_3.csv ├── df_trip_20140803_4.csv ├── df_trip_20140803_5.csv ├── df_trip_20140803_6.csv ├── df_trip_20140804_1.csv ├── df_trip_20140804_2.csv ├── df_trip_20140804_3.csv ├── df_trip_20140804_4.csv ├── df_trip_20140804_5.csv ├── df_trip_20140804_6.csv ├── df_trip_20140805_1.csv ├── df_trip_20140805_2.csv ├── df_trip_20140805_3

来源： https://stackoverflow.com/questions/63137970/create-rows-based-on-columns-value

来源： https://stackoverflow.com/questions/63137970/create-rows-based-on-columns-value

来源： https://stackoverflow.com/questions/63137970/create-rows-based-on-columns-value

来源： https://stackoverflow.com/questions/63920767/typo3-fal-images-in-extension