We Keep Coding

plt.show() does not display anything

I am using Jupyter notebook and I'm trying to plot graphs using subplots based on this video:
I just tried everything in the same format as shown in the video.
When I do a simple plot,
For example,
plt.plot([1,2,3],[2,4,6])
It gives a normal result.
But, when I try to create two axis, like this,
ax1.plot(df.index, df['APT.AX'])
ax2.plot(df.index, df['A2M.AX'])
It just gives the following result:
Out: [<matplotlib.lines.Line2D at 0x1ab0e0db8b0>]
And when I enter plt.show(), it just does nothing.
I tried uninstalling and reinstalling matplotlib using conda. I have tried by adding %matplotlib inline before using it.
Anything I can do here?

That's not an error. Use show() in the next line or plt.show()

How to save a Plotly graph in a ipynb file?

I understand that it is possible to export a Plotly graph, and that I can display it.
While sharing notebooks, the matplotlib plots remain intact in the Jupyter Notebooks, however, the Plotly graphs do not. They simply disappear
I understand that the Plotly graph is browser rendered, but is there any way I can store the graph in the ipynb file when I export it?
Is there any way that I can display the Plotly graph, just like the matplotlib graph?
Edit: As suggested in an answer, I tried to save it to a figure object, and display that, but no luck there either :/

If you put the code for a series of graphs in a single cell, execute it and save it, I think it will be displayed the next time you open it.
import plotly.express as px
df = px.data.iris() # iris is a pandas DataFrame
fig = px.scatter(df, x="sepal_width", y="sepal_length")
fig.show()

Show new matplotlib graph further down Jupyter notebook

I'm learning Matplotlib and using a Jupyter notebook to track each thing that I learn. However, I ran into a problem because I have multiple cells with matplotlib code. In one of my first cells, I run plt.show(), which outputs a plot beneath the cell. Further down the page, I have some other code which plots new points, resizes an axis, etc., then runs plt.show()....which works, but applies the changes to the original plot that was created after the first cell.
Is there any way to get a new plot window to display beneath whichever cell I am running?
(The reason I want to do this: The first cell might be an example showing how to plot a basic set of points. I want this to display its own simple plot. Further down the page, I resize axes and change the style of graph. However, when this plots, I want to see a separate plot, or maybe the same plot redone (as in, it can keep the original points I plotted -- no need to clear the whole thing) but with the new changes, beneath this more complex cell.)
UPDATE: Images.
In Image 1, I have run the first cell of code. The graph displays beneath the cell. Just as I want.
In this second image, I've now run the lower block of code (marked [3]). The changes, however, are applied to the plot sitting above it, because that's where it was originally created. But I'd like a new plot, or maybe not a clean new plot, but at least some way to make that plot display beneath cell [3] that I just ran.

In the comments, you mentioned that you're using the %matplotlib notebook magic, because it allows interactivity.
One option is to stop using interactivity.
As you found, you can turn off interactivity with plt.ioff(). You could also stop using %matplotlib notebook altogether and instead use %matplotlib inline (called at the top of the notebook). With %matplotlib inline, you don't need to call plt.show().
But you want to use interactivity.
So what you should do is define a new figure after you've plotted your first figure. To do this, call plt.figure() after the first plot, before the code for the second.

Seaborn Plot doesn't show up

I am creating a bar chart with seaborn, and it's not generating any sort of error, but nothing happens either.
This is the code I have:
import pandas
import numpy
import matplotlib.pyplot as plt
import seaborn
data = pandas.read_csv('fy15crime.csv', low_memory = False)
seaborn.countplot(x="primary_type", data=data)
plt.xlabel('crime')
plt.ylabel('amount')
seaborn.plt.show()
I added "seaborn.plt.show() in an effort to have it show up, but it isn't working still.

You should place this line somewhere in the top cell in Jupyter to enable inline plotting:
%matplotlib inline

It's simply plt.show() you were close. No need for seaborn

I was using PyCharm using a standard Python file and I had the best luck with the following:
Move code to a Jupyter notebook (which can you do inside of PyCharm by right clicking on the project and choosing new - Jupyter Notebook)
If running a chart that takes a lot of processing time it might not have been obvious before, but in Jupyter mode you can easily see when the cell has finished processing.

ggplot not showing inside ipython notebook output area, rather popping up

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