PySide / PyQt detect if user trying to close window
is there a way to detect if user trying to close window?
For example, in Tkinter we can do something like this:
python
Python: Open Excel Workbook using Win32 COM Api
I’m using the following code to open and display a workbook within Excel:
sklearn Logistic Regression “ValueError: Found array with dim 3. Estimator expected <= 2."
I attempt to solve this problem 6 in this notebook. The question is to train a simple model on this data using 50, 100, 1000 and 5000 training samples by using the LogisticRegression model from sklearn.linear_model.
Convert percent string to float in pandas read_csv
Is there a way to convert values like ‘34%’ directly to int or float when using read_csv in pandas? I want ‘34%’ to be directly read as 0.34
Use Distance Matrix in scipy.cluster.hierarchy.linkage()?
I have a distance matrix n*n M where M_ij is the distance between object_i and object_j. So as expected, it takes the following form:
What is the difference between pandas agg and apply function?
I can’t figure out the difference between Pandas .aggregate and .apply functions.
Take the following as an example: I load a dataset, do a groupby, define a simple function,
and either user .agg or .apply.
How to modify the navigation toolbar easily in a matplotlib figure window?
Is it possible to do something like the following to modify the navigation toolbar in matplotlib?
Preventing PyQt to silence exceptions occurring in slots
As far as I can see, if an exception occurs in a slot under PyQt, the exception is printed to screen, but not bubbled. This creates a problem in my testing strategy, because if an exception occurs in a slot, I will not see the test fail.
2D grid data visualization in Python
I need to visualize some data. It’s basic 2D grid, where each cell have float value. I know how to e.g. assign color to value and paint grid in OpenCV. But the point here is that there are so many values so it’s nearly impossible to do that. I am looking for some method, where I could use gradient. For example value -5.0 will be represented by blue, 0 – black, and +5.0 as red. Is there any way to do that in Python?
Matplotlib: How to force integer tick labels?
My python script uses matplotlib to plot a 2D “heat map” of an x, y, z dataset. My x- and y-values represent amino acid residues in a protein and can therefore only be integers. When I zoom into the plot, it looks like this: