Pandas column access w/column names containing spaces
If I import or create a pandas column that contains no spaces, I can access it as such:
If I import or create a pandas column that contains no spaces, I can access it as such:
I am using python to work out how many children would be born in 5 years if a child was born every 7 seconds. The problem is on my last line. How do I get a variable to work when I’m printing text either side of it?
I can use this code below to create a new file with the substitution of a with aa using regular expressions.
What is the pythonic way of writing the following code?
I have a multi-line string that I want to do an operation on each line, like so:
I have this text file made up of numbers and words, for example like this – 09807754 18 n 03 aristocrat 0 blue_blood 0 patrician and I want to split it so that each word or number will come up as a new line.
I am a big fan of using dictionaries to format strings. It helps me read the string format I am using as well as let me take advantage of existing dictionaries. For example:
Say I have a string, "ab".
Is there an efficient mass string concatenation method in Python (like StringBuilder in C# or StringBuffer in Java)?
I’m trying to split a string up into words and punctuation, adding the punctuation to the list produced by the split.