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You can either convert a Decimal object to a string: cursor = db.cursor() cursor.execute("""select * from table""") output = [] for row in cursor: output.append(str(row[4])) Or to a float: cursor = db.cursor() cursor.execute("""select * from table""") output = [] for row in cursor: output.append(float(row[4]))
6 Μαρ 2010 · You can use "f-strings" (f for "formatted string literals"), the short format style from Python v3.6 on: f'{1.234:.1f}' Out: '1.2' Or, as a test: f'{1.234:.1f}' == '1.2' Out: True By the way, you can also use this with variables. x = 1.234 f'{x:.1f} and {x:.2f} and {x}' Out: '1.2 and 1.23 and 1.234'
pyspark.sql.functions.format_number (col: ColumnOrName, d: int) → pyspark.sql.column.Column [source] ¶ Formats the number X to a format like ‘#,–#,–#.–’, rounded to d decimal places with HALF_EVEN round mode, and returns the result as a string.
When creating new models you can actually pass normal (float) numbers, Pydantic will automatically convert them to Decimal types, and SQLModel will store them as Decimal types in the database (using SQLAlchemy).
This step involves using the CONVERT() function to convert the transaction_amount column to a decimal data type. SELECT id, transaction_amount, CONVERT(DECIMAL(10, 2), transaction_amount) AS decimal_amount. FROM transactions; This query retrieves the id, transaction_amount, and the decimal value of the transaction_amount column for each row in ...
format_number function. Applies to: Databricks SQL Databricks Runtime. Formats expr like #,###,###.##, rounded to scale decimal places. Formats expr like fmt.
Formatting can be used when you want to round off a number to a specific number of decimal places, or when you want your number to be separated by commas. To format numbers we can use f-string or format() function.
