I would like to know if there is a way to export multiple plotly plots, tabs and images into a single HTML file.
In detail the problem is this. I want to create a standalone .exe file with python able to plot several graphs and images, given some input files containing the data; writing code with PySimpleGUI for the GUI.
But once the several interactive graphs, tabs and images are plotted in a window, I would like to add in the window two buttons to export these data respectively in a excel file (so with no interactivity) and in a HTML file (to keep interactivity).
The first point is no trouble for me: I use xlsxwriter to export images and graphs as images. The problem is the second point: I would like to export all these data keeping interactions in graphs in a single HTML with a certain design I choose. Remember the fact that I want to build a standalone .exe file, because this program will run in a PC with Python not installed.
My question is this: is there some python library or html writer in python I can use to do this?
P.S.: plotly graphs are not subplots of a single plots but each one is a single plot, each one will have its own zoom etc. commands.
I created some figures with Seaborn in a Jupyter Notebook. I would now like to present those figures in a PowerPoint presentation.
I know that it is possible to export the figures as png and include them in the presentation. But then they would be static, and if something changes in the dataframe, the picture would be the same. Is there an option to have a dynamic figure in PowerPoint? Something like a small Jupyter Notebook you could Display in the slides?
You could try Anaconda Fusion (also the video here), which let's you use Python inside of Excel. This could possibly work since you can link figures/data elements between Excel and PowerPoint (but special restrictions might apply when the figure is created via Python rather than standard Excel). Anaconda Fusion is free to try for a couple of months.
Another solution would be to use the Jupyter Notebook to create your presentation instead of PowerPoint. Go to View -> Cell Toolbar -> Slideshowand you can choose which code cells should become slides.
A third approach would be to create an animation of the figure as the data frame changes and then include the animation (GIF or video) in PowerPoint.
The following procedures probably won't be the most elegant solution, but it will let you produce a Seaborn plot, store it as an image file, and export the same image to an open powerpoint presentation. Depending on whether you set LinkToFile to True or False, the images will or will not update when the source changes. I'm messing around with this using cells in Spyder, but it should work in a Jupyter notebook as well. Make sure that you have a folder named c:\pptSeaborn\.
Here it is:
# Some imports
import numpy as np
import seaborn as sns
import os
import matplotlib.pyplot as plt
import win32com.client
import win32api
os.chdir('C:/pptSeaborn')
# Settings for some random data
mu = 0
sigma = 1
simulation = np.random.normal(mu, sigma, 10)
# Make seaborn plot from simulated data. Save as image file.
def SeabornPlot(data, filename = 'c:\\pptSeaborn\\snsPlot.png'):
ax = sns.kdeplot(data, shade=True)
fig = ax.get_figure()
fig.savefig(filename, bbox_inches='tight', dpi = 440)
plt.close(fig)
# Import image file to active powerpoint presentation
def SeabornPPT(plotSource, linkImage):
Application = win32com.client.Dispatch("PowerPoint.Application")
Presentation = Application.Activepresentation
slidenr = Presentation.Slides.Count + 1
Base = Presentation.Slides.Add(slidenr, 12)
gph = Base.Shapes.AddPicture(FileName=plotSource,
LinkToFile=linkImage, SaveWithDocument=True,
Left=50, Top=25, Width=800, Height=500)
Presentation.slides(slidenr).select()
# Produce data, save plot as image, and export image to powerpoint
SeabornPlot(data = simulation)
SeabornPPT(plotSource = 'c:\\pptSeaborn\\snsPlot.png', linkImage = False)
Now, if you have an open powerpoint presentation and run this whole thing five times, you will get somthing like this:
If you go ahead and save this somewhere, and reopen it, it will still look the same.
Now you can set linkImage = True, and run the whole thing five times again. Depending on the random data generated, you will still get five slides with different graphs.
But NOW, if you save the presentation and reopen it, all plots will look the same because they're linked to the same image file:
The next step could be to wrap the whole thing into a function that takes filename and LinkToFile as arguments. You could also include whether or not the procedure makes a new slide each time an image is exported. I hope you find my sggestion useful. I liked your question, and I'm hoping to see a few other suggestions as well.
We now went with this approach:
You can save the figures as a .png file and insert this into Powerpoint. There is an Option when inserting it, that the Picture will be updated every time you open PowerPoint, retrivining a new version of the file from the Folder I saved it to. So when I make changes in Seaborn, a new version of the file is automatically saved as a Picture which will then be updated in PowerPoint.
I have a long Jupyter notebook code and there is many cells, which are redrawing the actual graph plot. When I am running cells after changing their contents I need to check the plot, but I always need to scroll up and down. I would prefer to watch the plot changes in separated window (I am using two monitors), so I will change the cell content, run the cell, and then just turn my head and see the plot - without any scrolling. Is there a way how to do that? I know it can be done by Spyder, but I want to do it in Jupyter notebook, since I use a lot of notebook advantages, such as Latex notes and headings between cells. Thanks a lot for any advice!
It would be great if you could tell us how you print your graph (what library ?). Ipython provide magic command. For example, if you use matplotlib to plot some figures, just add %matplotlib qt on top of your cell to make the plots appear in a separate window.
See the list of magic command available here.
I wrote the code above and it is showing my plot in the Ipython console. However, I want to inspect the plot i.e. be able to zoom in/out and have coordinates displayed when moving my cursor.
I know I can do this with executing the file from the location where it is saved. But is there a way to immediately show the plot in a new window when running my file in spyder?
I see that you have pyplot already imported. Run the following in your console:
plt.switch_backend('qt4agg')
If this does not work because the name plt is not recognized, import it in the console:
from matplotlib import pyplot as plt
I'm using IPython notebooks to save my results and perhaps to share code including graphics. I am using ggplot right now. But I cannot get ggplot to plot inside the notebook output area. It always gives me a pop-up window that shows the plot. I don't know how to save it along with the notebook easily. Is there something I need to configure to make that happen? "%matplotlib inline" I saw in a ggplot tutorial that below code should do it. What am I missing?
My code:
plot = ggplot(my_dataframe, aes("x")) + geom_histogram()
print plot
I got my answer elsewhere. It worked like a charm!
%pylab inline