AttributeError: Can only use .dt accessor with datetimelike values
Hi I am using pandas to convert a column to month.
When I read my data they are objects:
Hi I am using pandas to convert a column to month.
When I read my data they are objects:
I’m attempting to string match 5-digit coupon codes spread throughout a HTML web page. For example, 53232, 21032, 40021 etc… I can handle the simpler case of any string of 5 digits with [0-9]{5}, though this also matches 6, 7, 8… n digit numbers. Can someone please suggest how I would modify this regular expression to match only 5 digit numbers?
I have a string in Python, say The quick @red fox jumps over the @lame brown dog.
I have installed a fresh anaconda v4.4. I realized that python packages can be installed using both conda and pip. What is the effect of using pip to install python packages instead of conda when using anaconda? Will the pip-installed libraries cease to function? I am using python v3
How can I calculate matrix mean values along a matrix, but to remove nan values from calculation? (For R people, think na.rm = TRUE).
Python’s math module contain handy functions like floor & ceil. These functions take a floating point number and return the nearest integer below or above it. However these functions return the answer as a floating point number. For example:
What’s the difference between file and open in Python? When should I use which one? (Say I’m in 2.5)
multiprocessing.Pool is driving me crazy…
I want to upgrade many packages, and for every one of them I have to check whether there is a greater version or not. This is done by the check_one function.
The main code is in the Updater.update method: there I create the Pool object and call the map() method.
Let’s say I have a list of ints: listOfNumbers = range(100) And I want to return a list of the elements that meet a certain condition, say: def meetsCondition(element): return bool(element != 0 and element % 7 == 0) What’s a Pythonic way to return a sub-list of element in a list for which meetsCondition(element) … Read more