I have a dataframe. I want to check if a particular column has numeric values or not using regex matching. When I use str.contains it shows an error like below. What is the correct way to check if all the values in a column have numeric values or not? Answer You can use With .astype(str), you will be able to
Tag: numeric
How to downcast numeric columns in Pandas?
How to optimize the data frame memory footprint and find the most optimal (minimal) data types dtypes for numeric columns. For example: Expected result: Answer You can use parameter downcast in to_numeric with selectig integers and floats columns by DataFrame.select_dtypes, it working from pandas 0.19+ like mentioned @anurag, thank you:
Unexpected result in the numerical calculation – (invalid value encountered in double_scalar )
The result is I am having troubling to understand the problem here. It’s clear that I can print the x, but I cannot take the power of it. Meanwhile when I write the code as I get I am literally shocked. I cannot understand what is going on. If I just put the numbers manually I can calculate the result.
How to convert Python decimal to SQLite numeric?
I have a program that reads financial data in JSON and inserts it into an SQLite database. The problem is when I’m inserting it into SQLite numeric column and it doesn’t seem to like the decimal object. I’ve found this question answered before, but the answer is outdated and from what I understand SQLite now has a currency data type