Hey can anybody tell me what is the meaning of this? [duplicate] - pandas

This question already has answers here:
What is [:,:-1] in python? [duplicate]
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Python Difference between iloc indexes
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Understanding slicing
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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

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SQL change first letter to uppercase [duplicate]

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How could I change the first letter in this function to uppercase with he remainder staying in lower case?
substring(Column2,charindex('-', Column2)+1,len(Column2)),

An array contains two objects, how can they be merged? [duplicate]

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Perform .join on value in array of objects
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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);

How can I auto sort integer field in Pyqt5 table? [duplicate]

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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)
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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?

How to assign a variable in a column given another variable? [duplicate]

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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'

Check if pandas column contains all zeros [duplicate]

This question already has answers here:
How do I delete a column that contains only zeros in Pandas?
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Closed 5 years ago.
I'm doing a complex calculation on a data frame that is bound to throw exceptions if all the values in a column are zeros. How to do a quick check whether a column is full of zero? i.e. return True if the column has values other than 0 else False.
you can do something like this:
(df['col'] == 0).all()
This will return True if all values are 0 otherwise it will return false