Create Table with pay grades
Having trouble coding for the following question:
"Create a table that has 15 pay grades (rows) and within each pay grade are 10 steps (columns). Grade 1 step 1 starts at $21,885. Each step in a pay grade increases by 1.4 percent from the previous step. Each pay grade increases by 4.3 percent from step 1 in the previous grade. Label each row and column appropriately. Print the table and write to a file. Use integer values only."
Any help is greatly appreciated!
python python-2.7 jupyter-notebook
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Having trouble coding for the following question:
"Create a table that has 15 pay grades (rows) and within each pay grade are 10 steps (columns). Grade 1 step 1 starts at $21,885. Each step in a pay grade increases by 1.4 percent from the previous step. Each pay grade increases by 4.3 percent from step 1 in the previous grade. Label each row and column appropriately. Print the table and write to a file. Use integer values only."
Any help is greatly appreciated!
python python-2.7 jupyter-notebook
2
Please include the code you have written already, and any error messages.
– Kingsley
Nov 11 '18 at 21:41
add a comment |
Having trouble coding for the following question:
"Create a table that has 15 pay grades (rows) and within each pay grade are 10 steps (columns). Grade 1 step 1 starts at $21,885. Each step in a pay grade increases by 1.4 percent from the previous step. Each pay grade increases by 4.3 percent from step 1 in the previous grade. Label each row and column appropriately. Print the table and write to a file. Use integer values only."
Any help is greatly appreciated!
python python-2.7 jupyter-notebook
Having trouble coding for the following question:
"Create a table that has 15 pay grades (rows) and within each pay grade are 10 steps (columns). Grade 1 step 1 starts at $21,885. Each step in a pay grade increases by 1.4 percent from the previous step. Each pay grade increases by 4.3 percent from step 1 in the previous grade. Label each row and column appropriately. Print the table and write to a file. Use integer values only."
Any help is greatly appreciated!
python python-2.7 jupyter-notebook
python python-2.7 jupyter-notebook
asked Nov 11 '18 at 21:39
Blake McCarthyBlake McCarthy
1
1
2
Please include the code you have written already, and any error messages.
– Kingsley
Nov 11 '18 at 21:41
add a comment |
2
Please include the code you have written already, and any error messages.
– Kingsley
Nov 11 '18 at 21:41
2
2
Please include the code you have written already, and any error messages.
– Kingsley
Nov 11 '18 at 21:41
Please include the code you have written already, and any error messages.
– Kingsley
Nov 11 '18 at 21:41
add a comment |
1 Answer
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I'm not going to do your homework for you, but I'll give you some ideas to point you in the right direction. I assume you can use numpy so you can create and use arrays (perfect for this application).
- Create a numpy ndarray, dimension: 15 rows (pay grades) by 10 columns
(steps) - Assign the starting pay for Grade 1, Step 1 to cell [0,0]
- Step/Column values increase by 1.4% so the next column value iscol_i+1 = 1.014*col_i
- Grade/Rows values increase by 4.3% so the next row value is row_i+1 = 1.043*row_i
These can be calculated with 2 loops over the row/column indices.
If you're clever, you can create values for one row (or column) then calculate each row/comun in one shot.
ndarray won't handle mixed data types for titles, but printing should be simple enough with formatted strings.
"Use integer values only" leads to an interesting question:
Do you use integer math, or retain accuracy with floats, then print integer values?
Also, you need to decide if you want to truncate or round.
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I'm not going to do your homework for you, but I'll give you some ideas to point you in the right direction. I assume you can use numpy so you can create and use arrays (perfect for this application).
- Create a numpy ndarray, dimension: 15 rows (pay grades) by 10 columns
(steps) - Assign the starting pay for Grade 1, Step 1 to cell [0,0]
- Step/Column values increase by 1.4% so the next column value iscol_i+1 = 1.014*col_i
- Grade/Rows values increase by 4.3% so the next row value is row_i+1 = 1.043*row_i
These can be calculated with 2 loops over the row/column indices.
If you're clever, you can create values for one row (or column) then calculate each row/comun in one shot.
ndarray won't handle mixed data types for titles, but printing should be simple enough with formatted strings.
"Use integer values only" leads to an interesting question:
Do you use integer math, or retain accuracy with floats, then print integer values?
Also, you need to decide if you want to truncate or round.
add a comment |
I'm not going to do your homework for you, but I'll give you some ideas to point you in the right direction. I assume you can use numpy so you can create and use arrays (perfect for this application).
- Create a numpy ndarray, dimension: 15 rows (pay grades) by 10 columns
(steps) - Assign the starting pay for Grade 1, Step 1 to cell [0,0]
- Step/Column values increase by 1.4% so the next column value iscol_i+1 = 1.014*col_i
- Grade/Rows values increase by 4.3% so the next row value is row_i+1 = 1.043*row_i
These can be calculated with 2 loops over the row/column indices.
If you're clever, you can create values for one row (or column) then calculate each row/comun in one shot.
ndarray won't handle mixed data types for titles, but printing should be simple enough with formatted strings.
"Use integer values only" leads to an interesting question:
Do you use integer math, or retain accuracy with floats, then print integer values?
Also, you need to decide if you want to truncate or round.
add a comment |
I'm not going to do your homework for you, but I'll give you some ideas to point you in the right direction. I assume you can use numpy so you can create and use arrays (perfect for this application).
- Create a numpy ndarray, dimension: 15 rows (pay grades) by 10 columns
(steps) - Assign the starting pay for Grade 1, Step 1 to cell [0,0]
- Step/Column values increase by 1.4% so the next column value iscol_i+1 = 1.014*col_i
- Grade/Rows values increase by 4.3% so the next row value is row_i+1 = 1.043*row_i
These can be calculated with 2 loops over the row/column indices.
If you're clever, you can create values for one row (or column) then calculate each row/comun in one shot.
ndarray won't handle mixed data types for titles, but printing should be simple enough with formatted strings.
"Use integer values only" leads to an interesting question:
Do you use integer math, or retain accuracy with floats, then print integer values?
Also, you need to decide if you want to truncate or round.
I'm not going to do your homework for you, but I'll give you some ideas to point you in the right direction. I assume you can use numpy so you can create and use arrays (perfect for this application).
- Create a numpy ndarray, dimension: 15 rows (pay grades) by 10 columns
(steps) - Assign the starting pay for Grade 1, Step 1 to cell [0,0]
- Step/Column values increase by 1.4% so the next column value iscol_i+1 = 1.014*col_i
- Grade/Rows values increase by 4.3% so the next row value is row_i+1 = 1.043*row_i
These can be calculated with 2 loops over the row/column indices.
If you're clever, you can create values for one row (or column) then calculate each row/comun in one shot.
ndarray won't handle mixed data types for titles, but printing should be simple enough with formatted strings.
"Use integer values only" leads to an interesting question:
Do you use integer math, or retain accuracy with floats, then print integer values?
Also, you need to decide if you want to truncate or round.
answered Nov 12 '18 at 3:08
kcw78kcw78
345210
345210
add a comment |
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2
Please include the code you have written already, and any error messages.
– Kingsley
Nov 11 '18 at 21:41