Sorry for the inconvience again, I updated to Matlab 2019a, I want to plot the data (attached) just the column 1 years (On X-axis) with the column 2 (on Y-axis). I got the same problem which it shows the years 2002.5 2003.5 on the X-Axis. T2=plot(daten.bst.tStep(1200:2405,1).3600,daten.bst.T02(1200:2405,1)+0.1071, 'r').
| MATLAB Function Reference |
Create axes object in tiled positions
Syntax
Description
subplot divides the current figure into rectangular panes that are numbered rowwise. Each pane contains an axes object. Subsequent plots are output to the current pane.
h = subplot(m,n,p), or subplot(mnp) breaks the Figure window into an m-by-n matrix of small axes, selects the pth axes object for for the current plot, and returns the axis handle. The axes are counted along the top row of the Figure window, then the second row, etc. For example,
plots income on the top half of the window and outgo on the bottom half. If the CurrentAxes is nested in a uipanel, the panel is used as the parent for the subplot instead of the current figure. The new axes object becomes the current axes.
If p is a vector, it specifies an axes object having a position that covers all the subplot positions listed in p.
subplot(m,n,p,'replace')If the specified axes object already exists, delete it and create a new axes.
subplot(m,n,p,'align')positions the individual axes so that the plot boxes align, but does not prevent the labels and ticks from overlapping.
subplot(h)makes the axes object with handle h current for subsequent plotting commands.
subplot('Position',[left bottom width height])creates an axes at the position specified by a four-element vector. left, bottom, width, and height are in normalized coordinates in the range from 0.0 to 1.0.
h = subplot(...)returns the handle to the new axes object.
Remarks
If a subplot specification causes a new axes object to overlap any existing axes, then subplot deletes the existing axes object and uicontrol objects. However, if the subplot specification exactly matches the position of an existing axes object, then the matching axes object is not deleted and it becomes the current axes.
subplot(1,1,1) or clf deletes all axes objects and returns to the default subplot(1,1,1) configuration.
You can omit the parentheses and specify subplot as
where m refers to the row, n refers to the column, and p specifies the pane.
Special Case - subplot(111)
The command subplot(111) is not identical in behavior to subplot(1,1,1) and exists only for compatibility with previous releases. This syntax does not immediately create an axes object, but instead sets up the figure so that the next graphics command executes a clf reset (deleting all figure children) and creates a new axes object in the default position. This syntax does not return a handle, so it is an error to specify a return argument. (This behavior is implemented by setting the figure's NextPlot property to replace.)
Examples
To plot income in the top half of a figure and outgo in the bottom half,
The following illustration shows four subplot regions and indicates the command used to create each.
The following combinations produce asymmetrical arrangements of subplots.
You can also use the colon operator to specify multiple locations if they are in sequence.
See Also
axes, cla, clf, figure, gca
Basic Plots and Graphs for more information
| sub2ind | subsasgn |
© 1994-2005 The MathWorks, Inc.
pyplot.subplots creates a figure and a grid of subplots with a single call,while providing reasonable control over how the individual plots are created.For more advanced use cases you can use GridSpec for a more general subplotlayout or Figure.add_subplot for adding subplots at arbitrary locationswithin the figure.
A figure with just one subplot¶
subplots() without arguments returns a Figure and a singleAxes.
This is actually the simplest and recommended way of creating a singleFigure and Axes.
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Stacking subplots in one direction¶
The first two optional arguments of pyplot.subplots define the number ofrows and columns of the subplot grid.
2 Plots 1 Figure Matlab Histogram
When stacking in one direction only, the returned axs is a 1D numpy arraycontaining the list of created Axes.
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If you are creating just a few Axes, it's handy to unpack them immediately todedicated variables for each Axes. That way, we can use ax1 instead ofthe more verbose axs[0].
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To obtain side-by-side subplots, pass parameters 1,2 for one row and twocolumns.
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Stacking subplots in two directions¶
When stacking in two directions, the returned axs is a 2D NumPy array.
If you have to set parameters for each subplot it's handy to iterate overall subplots in a 2D grid using foraxinaxs.flat:.
You can use tuple-unpacking also in 2D to assign all subplots to dedicatedvariables:
Sharing axes¶
By default, each Axes is scaled individually. Thus, if the ranges aredifferent the tick values of the subplots do not align.
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You can use sharex or sharey to align the horizontal or vertical axis.
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Setting sharex or sharey to True enables global sharing across thewhole grid, i.e. also the y-axes of vertically stacked subplots have thesame scale when using sharey=True.
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For subplots that are sharing axes one set of tick labels is enough. Ticklabels of inner Axes are automatically removed by sharex and sharey.Still there remains an unused empty space between the subplots.
To precisely control the positioning of the subplots, one can explicitlycreate a GridSpec with Figure.add_gridspec, and then call itssubplots method. For example, we can reduce the heightbetween vertical subplots using add_gridspec(hspace=0).
label_outer is a handy method to remove labels and ticks from subplotsthat are not at the edge of the grid.
2 Plots 1 Figure Matlab Tutorial
Apart from True and False, both sharex and sharey accept thevalues 'row' and 'col' to share the values only per row or column.
If you want a more complex sharing structure, you can first create thegrid of axes with no sharing, and then call axes.Axes.sharex oraxes.Axes.sharey to add sharing info a posteriori.
Polar axes¶
The parameter subplot_kw of pyplot.subplots controls the subplotproperties (see also Figure.add_subplot). In particular, this can be usedto create a grid of polar Axes.
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