Bar Chart: How to choose color if value is positive vs value is negative
I have a pandas dataframe with positive and negative values and want to plot it as a bar chart.
I have a pandas dataframe with positive and negative values and want to plot it as a bar chart.
I found the following behavior at least weird:
Is there an unbounded version of range (or xrange for Python 2), or is it necessary to define it manually? For example
I have a graph, computed from some data, drawn in matplotlib. I want to draw a rectangular region around the global maximum of this graph. I tried plt.axhspan, but the rectangle doesn’t seem to appear when I call plt.show()
I have a very simple python script that should scan a text file, which contains lines formatted as id=’value‘ and put them into a dict. the python module is called chval.py and the input file is in.txt. here’s the code:
I am looking for someone to explain the basics of how to use, and not use setattr().
I’m trying to follow a tutorial about Selenium, http://selenium-python.readthedocs.io/getting-started.html. I’ve downloaded the latest version of geckodriver and copied it to /usr/local/bin. However, when I try
I have a set of points in 2-dimensional space and need to calculate the distance from each point to each other point.
Quite often I want to make a bar chart of counts. If the counts are low I often get major and/or minor tick locations that are not integers. How can I prevent this? It makes no sense to have a tick at 1.5 when the data are counts.