I've been trying to plot multiple figures in one cell in Python. The internet shows me only how to put multiple bars in one figure but I want to have multiple figures. Could not find out how to do it yet. This is the bar plot I have so far:
I wanna do the same for other columns and not only 'workclass'. So basically, the same plot. Any ideas how to do that? Thank you in advance!
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So I have multiple figures each representing a scatter plot which changes with a slider that updates the plot according to the slider's value. Now I need to merge all those figures into one figure and have one general slider which will show all the plots overlapped. Is there a way in plotly to combine multiple figures (go.Figure() objects) so I can get my desired output?
I have three boxplot figures that I am loading using pickle and I would like to join and plot them side-by-side. It seems that the recommendation is to plot one figure to begin with and use matplotlib subplots. However, due to the nature of the data this would be difficult and it is easiest to make three separate figure files first. All three figures have the same y axis limits and the same x ticks.
How can I join them such that they are side-by-side on the same row?
The solution is to create a new figure with the layout you want, then insert the Axes from the existing figures into it. You can get the Axes from an existing figure with only one set of Axes using fig.axes[0], then insert it into a new figure by following this answer.
PS Emersons unite!
I am working with multiple plots in my dashboard, all have same time on x axis, same multiple traces (dates) and different values on yaxis.
I want to click on a chart legend and all other charts should do the same. I tried subplots, worked but colors are allways different and also some other issues. Any idea if this is possible without using subplots or a keyword that i have missed?
Thank you very much
I would like to know if there is a way to combined several figures created with matplotlib in one unique figure.
Most of the existing topics are related to multiple plots within one figure. But here, I have several functions which all create one elaborated figure (not just a plot, the figure itself is a multiple plot with texts, title, legends,...)
So instead of just doing the layout of those several figures using a software like Word, is there a way to directly combined all my figures in one unique figure under python ?
Thank you in advance !
The concept of figure in matplotlib does not allow to have a figure inside a figure. The figure is the canvas for other artists, like axes. You may of course add as many axes to a figure as you like. So for example instead of one figure with 4 axes and another figure with 6 axes, you can create a figure with 10 axes.
A good choice may be to use the gridspec, as detailed on the respecive matplotlib page.
After additional researches, it seems my problem has no easy solution within Matplotlib itself. Multiple figures layout needs external post-processing of plots.
For those having the same problem, here is an interesting link :
Publication-quality figures with matplotlib and svgutils
I am trying to draw an sns.pairplot with one value in x_axis but multiple values in y_axis
This is what I got. All the figure in one row. Does Anyone know how I can get a bigger plot? or in multiple columns?
The chart is here:
As per the comment to your question, the reason that the plot is small, is because it does not fit into the Jupyter Notebook output cell. Try right clicking and opening in a new tab or saving it to a file.
If you want display the figure within a Notebook, you can make several calls to sns.pairplot with a subset of columns each time. You could also use sns.FaceGrid with plt.scatter for more granular control over what is plotted where.