Print the raw value of a column alone, in pandas?
I have a dataframe:
python
Round integers to the nearest 10
I am trying to round integers in python. I looked at the built-in round() function but it seems that that rounds floats.
Representing voxels with matplotlib
In Python, given a N_1 x N_2 x N_3 matrix containing either 0s or 1s, I would be looking for a way to display the data in 3D as a N_1 x N_2 x N_3 volume with volumic pixels (voxels) at the location of 1s.
Python regular expression for HTML parsing (BeautifulSoup)
I want to grab the value of a hidden input field in HTML.
How is unicode represented internally in Python?
How is Unicode string literally represented in Python’s memory?
Why is SQLAlchemy insert with sqlite 25 times slower than using sqlite3 directly?
Why is this simple test case inserting 100,000 rows 25 times slower with SQLAlchemy than it is using the sqlite3 driver directly? I have seen similar slowdowns in real-world applications. Am I doing something wrong?
Reporting yielded results of long-running Celery task
Problem I’ve segmented a long-running task into logical subtasks, so I can report the results of each subtask as it completes. However, I’m trying to report the results of a task that will effectively never complete (instead yielding values as it goes), and am struggling to do so with my existing solution. Background I’m building … Read more
Pandas Replace NaN with blank/empty string
I have a Pandas Dataframe as shown below:
python converting string in localtime to UTC epoch timestamp
I have strings in YMD hms format that had the timezone stripped. But I know they are in Eastern time with daylight savings time.
numpy arbitrary precision linear algebra
I have a numpy 2d array [medium/large sized – say 500×500]. I want to find the eigenvalues of the element-wise exponent of it. The problem is that some of the values are quite negative (-800,-1000, etc), and their exponents underflow (meaning they are so close to zero, so that numpy treats them as zero). Is there anyway to use arbitrary precision in numpy?