Amanda | JSON Schema validator | JSON Processing library
kandi X-RAY | Amanda Summary
kandi X-RAY | Amanda Summary
16.6.2014 - This repository is deprecated. Please use apiaryio/Amanda.
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QUESTION
I have a wrapper class to work with a specific dataframe and some modifier functions/callables to operate with it.
...ANSWER
Answered 2022-Apr-01 at 15:21This line:
QUESTION
I am trying to retrieve abstracts via Scopus Abstract Retrieval. I have a file with 3590 EIDs.
...ANSWER
Answered 2022-Feb-27 at 18:44Without EIDs to check, it is tough to point to the precise cause. However, I'm 99% certain that your problem are missing abstracts in the .description property. It's sufficient when the first call is empty, because it will turn the column type into float, to which you wish to append a string. That's what the error says.
Thus your problem has nothing to do with pybliometrics or Scopus, but with the way you bild the code.
Try this instead:
QUESTION
I need to accomplish a wrangling task with tidyr/dplyr as part of a %>% pipe. That is, without assigning data to helper objects. I have the following trb tibble as a given:
ANSWER
Answered 2022-Jan-17 at 01:25Maybe something like this? It first categorizes the data as john or not, then nests all the data for each category into one list, then pivots those two categories wide.
QUESTION
I'm not sure exactly how to explain this, but I want to combine rows in Excel while condensing the column data. I'm looking to take a spreadsheet like this:
Name Coffee Bananas Chocolate Ice Cream Tom 4 Tom 2 Tom 2 Jerry 1 Jerry 4 Amanda 3 Amanda 2and turn it into this:
Name Coffee Bananas Chocolate Ice Cream Tom 4 2 2 Jerry 1 4 Amanda 3 2Any tips would be super helpful.
...ANSWER
Answered 2022-Jan-07 at 15:37You can setup a pivot table for this.
Select your table > Insert Pivot Table, then follow this screenshot:
Drag Name colum in Rows
Drag Coffee, Bananas, Chocolate ice creams in Values and you're set!
QUESTION
I have loaded some JSON API data as a Pandas dataframe, as such, there are some columns that come out as lists. I also have some NaN values.
First and foremost I want to replace the NaN with a single word such as 'empty' but the rest of the data are already in list forms. I want to ultimately create a new column that operates on this list structure and essentially turns it into a string since I will be using the strings to perform mapping logic later on.
Here is some sample data and logic:
...ANSWER
Answered 2022-Jan-06 at 19:58IIUC, you can get all the rows with NaN and fill them with ['empty'] which you can then pass through the eval function:
QUESTION
I want to be able to count the number of NA's that appear in a row in specified columns. From my data below, I'd like to be able to count the NA's rowwise that appear in first, last, address, phone, and state columns (exlcuding m_initial and customer in the count).
...ANSWER
Answered 2022-Jan-04 at 21:45df$na_count <- rowSums(is.na(df[c('first', 'last', 'address', 'phone', 'state')]))
df
first m_initial last address phone state customer na_count
1 Bob L Turner 123 Turner Lane 410-3141 Iowa 0
2 Will P Williams 456 Williams Rd 491-2359 Y 1
3 Amanda C Jones 789 Haggerty Y 2
4 Lisa Evans N 3
QUESTION
Complete error
...ANSWER
Answered 2021-Dec-27 at 07:37Your security rules just do not allow anyone to read or write to your database. If your set your rule to true as shown below, it should allow your to write:
QUESTION
I'm trying to pull a report using PowerShell and export it as CSV. I want to grab an AD Group, get the "Members" and "Members Of", then export it.
The final export, I want it to look like this:
...ANSWER
Answered 2021-Dec-24 at 19:36If I'm not mistaken, this is your intentions:
QUESTION
I have a table that contains sales records:
Sale ID EmployeeId(FK) Employee 2 ... 1 101 Null ... 2 102 Null ... 3 300 Bob ... ... ... ... ...I have another table that contains employee records:
EmployeeId EmployeeName ... 101 Amanda ... 102 Bob ... ... ... ... 300 cicilia ... ... ... ...I'm trying to do a select where i get all sales and group them by employees for performance analysis. So far i managed to get right the employees and their sale counts and totals. The problem is the third column in my sales record is called employee2, it can be null as not every sale has another employee assisting. It is not indexed to the employee table unlike the second column.
So for example in my query below, the expected results should be Amanda has 1 salecount, 0 helpCount, meanwhile Boss has 1 salecount, 1 helpCount, and cicillia has 1 salecount, 0 helpcount. But im getting 1 salecount for all which is correct, but 0 helpcounts for bob. This is my query so far:
...ANSWER
Answered 2021-Dec-23 at 11:53You can join the tables on either of the 2 conditions and use conditional aggregation:
QUESTION
class Song:
def __init__(self, title, artist):
self.title = title
self.artist = artist
def how_many(self, listener):
print(listener)
obj_1 = Song("Mount Moose", "The Snazzy Moose")
obj_1.how_many(['John', 'Fred', 'Bob', 'Carl', 'RyAn'])
obj_1.how_many(['Luke', 'AmAndA', 'JoHn']) here
ANSWER
Answered 2021-Nov-15 at 03:47- I'm not sure the input
JoHnin second wave is a typo or you need to capitalize all input. I assume you need capitalize it. - You can use
setto deal with the remove the duplicate in mutiple input.
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