I'm trying to create an interactive Heatmap in Jupyter :
I want to be able to display a graph when double-clicking on the different cells. For instance when clicking on the cell corresponding to correlation between A and B I want to display a graph showing corr(A,B) across time.
It appears that neither plotly nor seaborn allows me to do that. Any help is well appreciated !
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I am trying to generate interactive plots using plotly. So far I have been using pio.renderers.default = 'browser' to create the plot as html and review it interactively. Nevertheless I have a task where I need to generate ~100 charts, and I would like to save them for later and be able to retrieve them for review them interactively without need of running the script again. Can this be possible with plotly?
I am facing the following problem: I need two interactive plots to work at the same time on Jupyter, however they are interfering. When I rotate the cell of the first, the second plot stops being interactive and becomes "inline". Other times one of the plots looks like this:
The expected result was something like this
I imagine the problem is in the implementation I made. As you can see below, I use plt.something to put things in the figure (both for plot 1 and plot 2).
I'm using the %matplotlib notebook environment and tried to implement using fig1, ax1 = plt.subplots(). I would like to know if it is possible to do this type of implementation, where there is no conflict between plots? Maybe I am using matplotlib badly, so I would like some suggestions.
I have produced the graph below using matplotlib library in jupyter python. As you can see I have two different data, one is red and the other is green. My question is, is there any way I can have a small side window that states what each color means?
There is good function for that called matplotlib.pyplot.legend()
I recommend checking this: https://matplotlib.org/api/_as_gen/matplotlib.pyplot.legend.html
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.
I am trying to create a plot with matplotlib that has tooltip appearing when hovering hover certain elements of the charts. I want to do that in the Jupyter Notebook, with python 3.
I have tried the snippets provided here:
http://matplotlib.org/examples/event_handling/pick_event_demo.html
Possible to make labels appear when hovering over a point in matplotlib?
Is there a matplotlib equivalent of MATLAB's datacursormode?
Matplotlib basemap: Popup box
But none of them work. The plot shows but is not interactive.
I tried with and without the magic %matplotlib inline with no effect.
I of course also modified the print statement when it was without parenthesis.
Is there a specific command or backend to use in order to have the interaction working in Jupyter?
EDIT:
the example working with mpld3 "works" but i would rather stick to the basic matplotlib.
I think you want %matplotlib notebook. This will integrate interactive plots in the notebook.