Returns the sketch parameters for the artist. I found your tool quicklook which seems to be able to solve my problem. Return the lower and upper y-axis bounds, in increasing order. Sets up x-axis ticks and labels that treat the x data as dates. I also wonder if perhaps this has to do with the behind the AxesSubPlot class. Return the cursor data for a given event. Add a second y-axis to this axes.
Plot data that contains dates. Get the x grid lines as a list of Line2D instances. Return the picking behavior of the artist. Get the x tick labels as a list of instances. Draw a stacked area plot.
Set the artist's clip path, which may be: Set the group id for the artist. AxesSubplot which does not seem to have a savefig attribute as produced by this example from Wes McKinney's 'Python for DataAnalysis': ''' Time Series Plotting Plots with pandas time series have improved date formatting compared with matplotlib out of the box. Return whether the y-axis is inverted. Set whether autoscaling is applied on plot commands Get whether autoscaling is applied for both axes on plot commands Set whether autoscaling for the x-axis is applied on plot commands Get whether autoscaling for the x-axis is applied on plot commands Set whether autoscaling for the y-axis is applied on plot commands Get whether autoscaling for the y-axis is applied on plot commands Set the x ticks with list of ticks Return the x ticks as a list of locations Set the x-tick labels with list of string labels. Set whether the artist uses clipping.
Plot the sparsity pattern of a 2D array. Perhaps, if you don't return anything it just updates everything? AxesSubplot raises the exception AttributeError: 'module' object has no attribute 'AxesSubplot' To summarize, there is a class matplotlib. Add a second x-axis to this axes. Reply to this email directly, view it on GitHub , or mute the thread. Get the major x tick labels. Get the minor y tick labels. This issue also does not allow you to zoom in.
Turn the x- and y-axis on. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I am working in the Numerical Modeling Laboratory. All autoscale settings are on as is the default. Set the x-axis view limits. Return whether the artist is to be rasterized.
Get the transformation used for drawing x-axis labels, ticks and gridlines. You get the same error when you use the pan tool. Either the example compiles cleanly, or causes the exact error message about which you want help. Get whether the axes rectangle patch is drawn. I'm really confused why this is the case. Plot identical parallel lines at the given positions.
Return the y-axis view limits. Get the x tick lines as a list of Line2D instances. Return the instance the artist belongs to. Create a pseudocolor plot with a non-regular rectangular grid. But wish to stop this if the stat reaches zero. Return the aspect ratio of the raw data. I would try without the returns and see if it works that way.
Not the answer you're looking for? Get the facecolor of the Axes. I know that it is possible to define custom projections in matplotlib, but I haven't found the equivalent of a Cylindrical projection that implements all of this functionality. Set whether the axes rectangle patch is drawn. Add an to the axes' images; return the image. Return the zorder value below which artists will be rasterized. Test whether the artist contains the mouse event. Return whether point pair of pixel coordinates is inside the axes patch.
Add a to the axes' collections; return the collection. I want to compose a new figure consisting of these two figures let's say horizontal joining. Get the facecolor of the Axes. And currently in this early phase, I'm just removing 10 units per cycle. Change the used by default for linear axes. Annotate the point xy with text text.