An enhanced <u>ScreenTips</u> is a small message box that displays when the pointer is placed over a command button.
<h3>What are ScreenTips?</h3>
ScreenTips is known to be a term that connote a small windows that shows any kind of descriptive text if a person place the pointer on a command or on a control.
Note that Enhanced ScreenTips are found to be bigger windows that shows a lot of descriptive text than a ScreenTip.
Therefore, An enhanced <u>ScreenTips</u> is a small message box that displays when the pointer is placed over a command button.
Learn more about ScreenTips from
brainly.com/question/26677974
#SPJ1
Answer:
I am doing it with python.
Explanation:
nums = '9 -8 -7 -6 -5 -4 -2 0 1 5 9 6 7 4'
myfile = open('data.txt', 'w')
myfile.write(nums)
myfile.close()
myfile = open('data.txt', 'r')
num1 = (myfile.read())
num1 = num1.split()
print(num1)
print(type(num1))
for x in num1:
x = int(x)
if x < 0:
minus = open('dataminus.txt', 'a')
minus.write(str(x) + ' ')
minus.close()
elif x>= 0:
plus = open('dataplus.txt', 'a')
plus.write(str(x)+' ')
plus.close()
Answer:By specifying conditions, you can create custom filters that narrow down the data in the exact way that you want. You do this by building a filter. If you've ever queried data in a database, this will look familiar to you. Point to either Number Filters or Text Filters in the list.
Explanation:
This question is incomplete. The complete question, answer & explanation for this question is given in the attachment below.
Answer:
- def average_num_in_file(fileName):
- with open(fileName) as file:
- rows = file.readlines()
-
- sum = 0
- count = 0
- for x in rows:
- sum += float(x)
- count += 1
-
- average = sum / count
- return average
-
- print(average_num_in_file("cans.txt"))
Explanation:
The solution code is written in Python 3.
Firstly create a function that take one parameter, fileName (Line 1).
Open the file stream and use readlines method to read the data from the file (Line 2-3). Create variable sum and count to tract the total of the number from text files and number of data from the file (Line 5-6). Use a for loop to loop over each row of the read data and add the current value of each row to sum and increment the count by one (Line 7-9).
After the loop, calculate the average (Line 11) and return the result (Line 12).
At last, we can test the function by passing the cans.txt as argument (Line 14).
