The main problem with checking column conditions in Python is that the condition can be easily misinterpreted. For example, if you have a column called “age” and you want to check to see if a person’s age is greater than or equal to 25, you could use the following code:
if age > 25:
This code would return True if the person’s age is greater than 25, but it could also return True if the person’s age is equal to or less than 25.
.py
#!/usr/bin/env python import csv import sys # input file name input_file = sys.argv[1] # output file name output_file = sys.argv[2] my_columns = ['Customer ID', 'Purchase Date'] with open(input_file, 'r', newline='') as csv_in_file: with open(output_file, 'w', newline='') as csv_out_file: filereader = csv.reader(csv_in_file) filewriter = csv.writer(csv_out_file) header = next(filereader) filewriter.writerow(header) for row in filereader: label = row[0] color = row[3] if label == 'Primary': if color == 'Red': continue elif color == 'Green': continue elif color == 'Blue': continue else: pass else: pass print('Label is: ', label, ', Color is : ', color)
filewriter.writerow(row)
#!/usr/bin/env python import csv import sys # input file name input_file = sys.argv[1] # output file name output_file = sys.argv[2] my_columns = [‘Customer ID’, ‘Purchase Date’] with open(input_file, ‘r’, newline=”) as csv_in_file: with open(output_file, ‘w’, newline=”) as csv_out_file: filereader = csv.reader(csv_in_file) filewriter = csv.writer(csv_out_file) header = next(filereader) filewriter.writerow(header) for row in filereader: label = row[0] color = row[3] if label == ‘Primary’: if color == ‘Red’: continue elif color == ‘Green’: continue elif color == ‘Blue’: continue else: pass else: pass print(‘Label is: ‘, label, ‘, Color is : ‘, color) filewriter.writerow(row)
Ckecks
In Python, a checksum is a data structure that can be used to detect and correct errors in a file. A checksum is simply a mathematical calculation that is used to determine the difference between two sets of data. The checksum algorithm takes two sets of data and calculates the sum of the bytes in each set. The algorithm then divides the sum by the number of bytes in each set to produce a value that can be used to detect errors.
Columns
In Python, a column is a data structure that stores a sequence of values. Columns are useful for storing data in a table, and they can be used to organize data in any way you want.
Conditions
In Python, conditions are evaluated using the if statement. The if statement is a conditional statement that tests a condition and, depending on the result of the test, executes one of the code blocks that follow it.
The following code block prints “Hello, world!” if the value of the variable name is “World”:
if name == “World”: print(“Hello, world!”)
