ax4.plot_date(x=days, y=MACD_14_21,fmt="r-",label='MACD_14_21')
I am trying to print label using label="xxx", while plotting the data, but I don't see any label printed.
Do I need to use different syntax?
These labels are for legend only. Add plt.legend() to Your code to show it. If You want to add labels on the x-axis You can do it with plt.xlabel(['label1','label2']).
Edit:
Unhappily adding labels on plotted lines, is much more complex, and I would recommend You to stick to the legend, because there is no automatic way of doing that. However if You really need to achieve that, it's explained here: Print string over plotted line (mimic contour plot labels)
For simple cases You can also use annotations.
Related
When plotting multiple plots using plt.subplots, most of the time the spacing between subplots is not ideal so the the xtick labels of the top plot would overlap with the title of the bottom plots. There is a way to fix this manually by calling say plt.subplots_adjust(hspace=0.5) and changing the parameters interactively to obtain a decent looking plot. Is there a way to calculate the subplot_adjust parameter automatically? Meaning finding the minimum hspace and wspace so that there is not overlap between texts of the plots.
You can use tight_layout https://matplotlib.org/stable/tutorials/intermediate/tight_layout_guide.html or constrained_layout https://matplotlib.org/stable/tutorials/intermediate/constrainedlayout_guide.html
I'm pretty certain that the closest your going to find to an inbuilt calculation method is:
plt.tight_layout()
or
figure.Figure.tight_layout() #if you are using the object version of the code
I have a bar plot with high resolution. Is it possible to have only the border/frame/top line of the plot like in the following ROOT plot without, i.e. without internal lines?
If I plot with facecolor='none' or 'white', the plot is slashed by both vertical and horizontal lines:
The only way I can get rid of them is to make edgecolor and facecolor the same, but that's not the look I need...
Found out the answer: the simplest way to achieve the desired look is to use plt.step instead of plt.bar, that simple. Feel shame for asking.
As referenced here, you can set histtype='step' to remove internal lines. For example,
plt.hist(data, histtype='step')
It's a simple thing but I've searched for quite a while without success: I want to customise a figure legend by reversing the horizontal order of the symbols and labels.
In Gnuplot, this is simply achieved by set key reverse. Example: change x data1 to data1 x. In matplotlib, there seems to be no user-friendly solution. Thus, I thought about changing a kind of handle anchor or just shifting the handle's position, but couldn't find any point to start with.
The requested feature is already there, as the keyword markerfirst of the legend command.
plt.plot([1,2],[3,4], label='labeltext')
plt.legend(markerfirst=False)
plt.show()
If you want to make it your default behaviour, you can change the value of legend.markerfirst in rcParams, see customizing matplotlib.
Is there a way to enlarge the axis-scale label in matplotlib (circled in red in the enlarged plot below)?
I've used ax.tick_params() to successfully edit the tick labels, but I haven't been able to find anything about this specific piece of the plot.
Worse comes to worst, I could go with a manual text() insertion, but I'd like something more direct if possible.
Add a line like this
ax.xaxis.get_children()[1].set_size(15)
To change your major tick scale label (I guess we can call it so) to 15 points, if you plot the plot on ax.
If you plot using the pyplot API, add a line of ax=plt.gca() as well.
I need to return both a histogram and a scatterplot in one function using matplotlib, but when I try to create the histogram after creating the scatterplot, it appears that the scatterplot gets overridden. Just wondering if anyone has any advice on this issue? Is there a way to return two plots at once if they share an x-axis?
For instance, there is paragraph included in this link http://matplotlib.org/users/pyplot_tutorial.html about how to have 2 subplots. But I'm not sure how to do that with plt.hist() and plt.plot().
Since the histogram fills the bars it is probably better to do it first then the scatter plot.