Shifted colorbar matplotlib
I am trying to make a filled contour for a dataset. It should be fairly straightforward:
matplotlib
scipy: savefig without frames, axes, only content
In numpy/scipy I have an image stored in an array. I can display it, I want to save it using savefig without any borders, axes, labels, titles,… Just pure image, nothing else.
Running infinite loops using threads in python
My program is designed in the following way:
Using Colormaps to set color of line in matplotlib
How does one set the color of a line in matplotlib with scalar values provided at run time using a colormap (say jet)? I tried a couple of different approaches here and I think I’m stumped. values[] is a storted array of scalars. curves are a set of 1-d arrays, and labels are an array of text strings. Each of the arrays have the same length.
How can I make a barplot and a lineplot in the same seaborn plot with different Y axes nicely?
I have two different sets of data with a common index, and I want to represent the first one as a barplot and the second one as a lineplot in the same graph. My current approach is similar to the following.
What is the difference between pylab and pyplot?
Matplotlib is the whole package; pylab is a module in matplotlib that gets installed alongside matplotlib; and matplotlib.pyplot is a module in matplotlib.
Interactive large plot with ~20 million sample points and gigabytes of data
I have got a problem (with my RAM) here: it’s not able to hold the data I want to plot. I do have sufficient HD space. Is there any solution to avoid that “shadowing” of my data-set?
matplotlib bar chart with dates
I know about plot_date() but is there a bar_date() out there?
Moving x-axis to the top of a plot in matplotlib
Based on this question about heatmaps in matplotlib, I wanted to move the x-axis titles to the top of the plot.
Matplotlib figure facecolor (background color)
Can someone please explain why the code below does not work when setting the facecolor of the figure?