brazil | Experimental Ruby DSL for creating AQL queries | Database library
kandi X-RAY | brazil Summary
kandi X-RAY | brazil Summary
'Ere I am, J.H. ...The ghost in the machine. — Mr. Helpmann. Brazil is an experimental Ruby DSL for creating queries for the ArangoDB in the the Arango Query Language. Brazil is also the fifth biggest producer of Avocados (according to Wikipedia) and an amazing movie. As chance would have it, the spike of this gem was done on my way to Brazil. Brazil is not intended to be a Object Document Mapper, but to be used by the ODM to build the queries. The DSL is inspired by both the Sequel and the ActiveRecord gems.
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QUESTION
I have two google sheets in the same workbook and I am trying to import certain columns from one into the other sheet based on what hour of class was chosen. For example, I have the Date in column A, Name in B, Email in C, and Number in D and other stuff, then the Class in I.
Column A - Date Column B - Name Column C - Email Column D - Number ... Column I - Class
My goal is to import column B through D if column I has a certain class. I tried a using this if statemnt: =if('Confirmação'!I2 = A1,(=importrange("sheet_url","Confirmação!B2:D2")), "NOPE")
where A1 has the name of the class to look for, but it resulted in a #Error.
Then I tried a variety of query such as the following:
=QUERY({'Confirmação'!B2:D2,'Confirmação'!I2},"Where I = 'Terça 19h English 1'")
=QUERY({'Confirmação'!B2:D2, 'Confirmação'!I2},"Where 'Confirmação'!I = 'Terça 19h English 1'")
and also added the IfError: =iferror(QUERY('Confirmação'!B4:I4,"Where I = 'Terça 19h English 1'"),"Vaga")
Could someone correct my functions or help with a google script? Thank you! Very much appreciated! (Sorry about the Portugues-it's a project I am working on in Brazil)
...ANSWER
Answered 2021-Jun-15 at 17:44Instead of using a QUERY, you can use the =FILTER() function to solve your problem. Doing the following:
QUESTION
My dataframe with n dates
...ANSWER
Answered 2021-Jun-13 at 23:06You can use this but the output may not be quite desirable:
QUESTION
There seem to be lots of similar questions, but I cannot find the answer I need. So hopefully someone is able to help me.
Here are my two dataframes:
...ANSWER
Answered 2021-Jun-13 at 10:52Instead of merge I think you should rbind the two datasets. For clarity you can then get the data in wide format so that you have only 1 row for each country.
QUESTION
I want to work with 4 national football teams (England, Belgium, Germany and France) and n dates
...ANSWER
Answered 2021-Jun-12 at 20:26We can use tidyverse methods.
- Extract the selected team from each row of 'Matches' with
str_extract - Keep only the rows where there is a match i.e. NA rows are removed with
filter - Use
pivot_widerto reshape from long to 'wide' afterselecting the columns of interest - specify thevalues_fnaslengthandvalues_fillas 0 to change the defaultNAto 0
QUESTION
I have a csv like this:
...ANSWER
Answered 2021-Jun-11 at 21:49try:
QUESTION
i have 2 unequal length pandas that I am trying to combine based on their matching hour, month, year, and plant_name. I'm not sure whether merge/concat/join is most efficient or uses less memory since my actual dataset is very large and I'm getting unexpected results with attempts like shown at the bottom here. As an example, my data looks like this for dataframe 1 (df1):
...ANSWER
Answered 2021-Jun-11 at 12:56What you are looking for is an inner-join here. Also you need to add year, month, day and hour to the join-key. The following should give you the right answer:
QUESTION
In a plotly sunburst chart, I want to add multiple child classes to a parent class. I have tried assigning values to names, parents, values as shown here. But it returns a blank figure. I tried making a path variable (in the code below) but I am not sure how to name multiple direct children to a single parent class. Here is what I want-
And here is the code to reproduce-
...ANSWER
Answered 2021-Jun-09 at 17:57As you have seen, there are two ways to create sunburst plots with px.sunburst(). Either using the path variable or using the names, parents and values variables.
The first variant with the path variable is suitable for rectangular data, and thus not suitable for you, because you have missing values. Although there is a possibility for rectangular data with missing values, it requires that the parents of missing values do not have other entries (plotly ref).
Thus, you have to go with the second variant. As you have some leaves with identical names, you need in addition to names, parents and values also to define a list ids with unique strings.
QUESTION
import pandas as pd
import plotly.express as px
df = pd.DataFrame({'world':['world']*4,
'continent':['SA','SA','NA','NA'],
'country':['Brazil','Uruguay','USA','Canada'],
'total_cases_per_100':[6,1,12,8]})
fig = px.treemap(df, path=['world','continent','country'],values='total_cases_per_100')
fig.update_traces(hovertemplate=None, hoverinfo='value')
ANSWER
Answered 2021-Jun-09 at 17:05You can use hover_data / customdata and override values for none leaf nodes.
QUESTION
How to update the selected item in the proper QLineEdit? 3 textboxes and filled by various sets of data. If I click some items in QListWidget, every time first QLineedit only updated. Instead of this, I want to update data to the corresponding QLineEdits. ( for Ex: if textbox1 is focused, then the selected item will update in textbox1. If textbox2 is focused, then the selected item will update in textbox2). But In My case, Every time textbox1 is only updated.
...ANSWER
Answered 2021-Jun-09 at 16:51You are passing the same instance of same listbox again and agian to MyFile constructor, and connecting the listBox clicked signal again and again, but connecting the signal works for the first time only, so you need to disconnect if it is already connected, so first try to disconnect the signal if it is connected:
QUESTION
Which version of WHERE is the best to use in MySQL? Result is the same. Is there any difference in speed or efficiency or in something else?
WHERE NOT OR:
...ANSWER
Answered 2021-Jun-09 at 11:05Use whichever you are most comfortable with. They are all equivalent -- or at least equivalent under most reasonable circumstances. However, like would not the the same, for instance, if the strings had any wildcards. Note: like without wildcards should still use an index, so even performance should be similar.
However, I would recommend:
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