Remove index name in pandas
I have a dataframe like this one:
indexing
Inverting a dictionary with list values
So, I have this index as a dict.
In Python, how do I index a list with another list?
I would like to index a list with another list like this
Python pandas slice dataframe by multiple index ranges
What is the pythonic way to slice a dataframe by more index ranges (eg. by 10:12 and 25:28)?
Update row values where certain condition is met in pandas
Say I have the following dataframe:
How to extract an arbitrary line of values from a numpy array?
I have a numpy array that contains some image data. I would like to plot the ‘profile’ of a transect drawn across the image. The simplest case is a profile running parallel to the edge of the image, so if the image array is imdat, then the profile at a selected point (r,c) is simply imdat[r] (horizontal) or imdat[:,c] (vertical).
Get the position of the largest value in a multi-dimensional NumPy array
How can I get get the position (indices) of the largest value in a multi-dimensional NumPy array?
for loops and iterating through lists
Here is a snippet of code which gives the output: 0 1 2 2. I had expected the output 3 3 3 3 since a[-1] accesses the number 3 in the list. The explanation given online says “The value of a[-1] changes in each iteration” but I don’t quite understand how or why. Any explanations would be great!
Selecting pandas column by location
I’m simply trying to access named pandas columns by an integer.
Why does indexing numpy arrays with brackets and commas differ in behavior?
I tend to index numpy arrays (matrices) with brackets, but I’ve noticed when I want to slice an array (matrix) I must use the comma notation. Why is this? For example,