Simplest way to plot 3d surface given 3d points
I have a lot (289) of 3d points with xyz coordinates which looks like:
plot
How can I make the xtick labels of a plot be simple drawings using matplotlib?
Instead of words or numbers being the tick labels of the x axis, I want to draw a simple drawing (made of lines and circles) as the label for each x tick. Is this possible? If so, what is the best way to go about it in matplotlib?
Change grid interval and specify tick labels in Matplotlib
I am trying to plot counts in gridded plots, but I haven’t been able to figure out how to go about it.
How to remove lines in a Matplotlib plot
How can I remove a line (or lines) of a matplotlib axes in such a way as it actually gets garbage collected and releases the memory back? The below code appears to delete the line, but never releases the memory (even with explicit calls to gc.collect())
Matplotlib plot with variable line width
Is it possible to plot a line with variable line width in matplotlib? For example:
how to use ‘extent’ in matplotlib.pyplot.imshow
I managed to plot my data and would like to add a background image (map) to it.
Data is plotted by the long/lat values and I have the long/lat values for the image’s three corners (top left, top right and bottom left) too.
Plot bar graph from Pandas DataFrame
Assuming i have a DataFrame that looks like this:
Repeating x axis labels for all facets using FacetGrid in seaborn
I am working with the FacetGrid example presented here that results in the plot below. In my data set, there is quite a lot of plots, and it would be convenient to have the x axis labels repeated for each facet, not only at the bottom.
How to hide in IPython notebook
I am plotting a NumPy array of values, I, using IPython notebook in %matplotlib inline mode with the plot command plt.plot(I,'o').