This question already has answers here:
Perform .join on value in array of objects
(14 answers)
Closed 4 months ago.
skills = [
{skill_id: 1, skill_name: “IT”},
{skill_id: 2, skill_name: “cooking”}
]
Desired output:
IT, Cooking
I have tried to use merge() to merge the two objects. However, I cannot seem to get the desired output.
You can use map() to transform array values like
const values = skills.map(skill => skill.skill_name);
Related
This question already has answers here:
What is [:,:-1] in python? [duplicate]
(2 answers)
Python Difference between iloc indexes
(1 answer)
Understanding slicing
(38 answers)
Closed 6 months ago.
X = df_census.iloc[:,:-1]
y = df_census.iloc[:,-1]
what is the meaning of [:,:-1] in this and also [:,-1]
Following your example: [:,:-1]
The first argument is : which means to get all rows of the dataframe, and :-1 means to return all columns but the last one
In the case of just -1, it means to get the last column
This question already has answers here:
Sorting numbers in QTableWidget work doesnt right Pyqt5
(1 answer)
Sorting in pyqt tablewidget
(4 answers)
Closed 11 months ago.
I have a table with id and this ids start from 1 to 22. When I sort with following code:
a = QSortFilterProxyModel()
a.setSourceModel(model)
self.table_view = QTableView()
self.table_view.setModel(a)
self.table_view.setSortingEnabled(True)
self.table_view.sortByColumn(1, Qt.DescendingOrder)
It sorting as in the picture because 8 is bigger than 6 and 2 it reads as string but the column is integer.
How can I sort the column as integer?
This question already has an answer here:
Pandas to_csv call is prepending a comma
(1 answer)
Closed 1 year ago.
I am trying to do math on a specific cell in a csv file with pandas, but whenever I try to do it, it adds a column on the left that looks like
,
1,value,value
2,value,value
3,value,value
4,value,value
5,value,value
So if I run it multiple times it looks like
,
1,1,1,value,value
2,2,2,value,value
3,3,3,value,value
4,4,4,value,value
5,5,5,value,value
How do I make it not do this??
My code is: add_e_trial = equations_reader.at[bank_indexer_addbalance, 1] = reciever_amount
Whenever you do a df.to_csv, include index=False. The left most column is the index of the dataset
df.to_csv(index=False)
This question already has an answer here:
Is it possible to use karate 'match' inside conditional statement?
(1 answer)
Closed 2 years ago.
I wanted to match my response is equal to X or Y. I saw many json specified samples but I couldn't utilize those samples. I have a string that I gathered from response and I want to match it with X or Y. It should be ok if it is equal to X or Y.
My reference language value that I defined above of the code = profile_language The language value that I defined from json response = response_content_language And match response_content_language contains ('en',profile_language)
Language value should be profile_language or if it is not then it should be value as 'en'.
And match response_content_language contains ('en',profile_language)
I took error as I expected.
You could use something like
* def table = [ "en", #(profile_language) ]
And match table contains response_content_language
This question already has answers here:
Conditional Replace Pandas
(7 answers)
Adding a new pandas column with mapped value from a dictionary [duplicate]
(1 answer)
Closed 3 years ago.
This is my dataset :
Datset example
I want to assign to the different values* such as 'W M I HOLDINGS CORP' and 'MILESTONE SCIENTIFIC INC' another variable in the column 'ticker' in order to have the opportunity to sort them.
In the column 'ticker' I need to add WMIH and WLSS respectively to the two different values.
How can I do that ?
I am going to expect the output with something like this :
Output Example
You should be ok with this. Assuming you have your dataset in df variable.
df.loc[df['comnam'] == 'W M I HOLDINGS CORP', 'ticker'] = 'WMIH'
df.loc[df['comnam'] == 'MILESTONE SCIENTIFIC INC', 'ticker'] = 'WLSS'