How to make a 3D scatter plot in matplotlib
You can use matplotlib for this. matplotlib has a mplot3d module that will do exactly what you want. The code above generates a figure like:
plot
How to plot time series in python
Convert your x-axis data from text to datetime.datetime, use datetime.strptime: This is an example of how to plot data once you have an array of datetimes:
Create own colormap using matplotlib and plot color scale
There is an illustrative example of how to create custom colormaps here. The docstring is essential for understanding the meaning of cdict. Once you get that under your belt, you might use a cdict like this: Although the cdict format gives you a lot of flexibility, I find for simple gradients its format is rather unintuitive. Here is a utility function … Read more
How to add title to subplots in Matplotlib
ax.title.set_text(‘My Plot Title’) seems to work too.
Changing the “tick frequency” on x or y axis in matplotlib?
You could explicitly set where you want to tick marks with plt.xticks: For example, (np.arange was used rather than Python’s range function just in case min(x) and max(x) are floats instead of ints.) The plt.plot (or ax.plot) function will automatically set default x and y limits. If you wish to keep those limits, and just change the stepsize of the tick marks, then you could use ax.get_xlim() to discover what limits Matplotlib … Read more
Matplotlib automatic legend outside plot
EDIT: I HIGHLY RECOMMEND USING THE ANSWER FROM ImportanceOfBeingErnest: How to put the legend out of the plot This one is easier to understand: now play with the to coordinates (x,y). For loc you can use:
Matplotlib automatic legend outside plot
EDIT: I HIGHLY RECOMMEND USING THE ANSWER FROM ImportanceOfBeingErnest: How to put the legend out of the plot This one is easier to understand: now play with the to coordinates (x,y). For loc you can use:
How do you change the size of figures drawn with Matplotlib?
How do you change the size of figure drawn with Matplotlib?
How to resolve TypeError: ‘No Numeric Data to Plot’, when numeric data exists in Python
The following code answered my question:
Error in plot.window(…) : need finite ‘xlim’ values
The problem is that you’re (probably) trying to plot a vector that consists exclusively of missing (NA) values. Here’s an example: In your example this means that in your line plot(costs,pseudor2,type=”l”), costs is completely NA. You have to figure out why this is, but that’s the explanation of your error. From comments: Scott C Wilson: Another possible cause of … Read more