How to have clusters of stacked bars with python (Pandas)
So here is how my data set looks like :
matplotlib
How to find the exact intersection of a curve (as np.array) with y==0?
How can I get from a plot in Python an exact value on y – axis? I have two arrays vertical_data and gradient(temperature_data) and I plotted them as:
stack bar plot in matplotlib and add label to each section
I am trying to replicate the following image in matplotlib and it seems barh is my only option. Though it appears that you can’t stack barh graphs so I don’t know what to do
What’s the fastest way of checking if a point is inside a polygon in python
I found two main methods to look if a point belongs inside a polygon. One is using the ray tracing method used here, which is the most recommended answer, the other is using matplotlib path.contains_points (which seems a bit obscure to me). I will have to check lots of points continuously. Does anybody know if any of these two is more recommendable than the other or if there are even better third options?
Matplotlib overlapping annotations / text
I’m trying to stop annotation text overlapping in my graphs. The method suggested in the accepted answer to Matplotlib overlapping annotations looks extremely promising, however is for bar graphs. I’m having trouble converting the “axis” methods over to what I want to do, and I don’t understand how the text lines up.
Plotting with seaborn using the matplotlib object-oriented interface
I strongly prefer using matplotlib in OOP style:
Plotting in a non-blocking way with Matplotlib
I have been playing with Numpy and matplotlib in the last few days. I am having problems trying to make matplotlib plot a function without blocking execution. I know there are already many threads here on SO asking similar questions, and I ‘ve googled quite a lot but haven’t managed to make this work.
How to draw vertical lines on a given plot in matplotlib
Given a plot of signal in time representation, how to draw lines marking corresponding time index?
Pandas timeseries plot setting x-axis major and minor ticks and labels
I want to be able to set the major and minor xticks and their labels for a time series graph plotted from a Pandas time series object.
How to prevent numbers being changed to exponential form in Python matplotlib figure
I’m using Matplotlib in Python to plot simple x-y datasets. This produces nice-looking graphs, although when I “zoom in” too close on various sections of the plotted graph using the Figure View (which appears when you execute plt.show() ), the x-axis values change from standard number form (1050, 1060, 1070 etc.) to scientific form with exponential notation (e.g. 1, 1.5, 2.0 with the x-axis label given as +1.057e3).