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()
Related
I am currently trying to graph data using Python3 and matplotlib. I am developing on OSx Sierra and when I run, it is not showing up. There are no errors returned. I included plt.show() in my code and it is definitely running. Any help to get this graph showing would be appreciated. Vanilla Python3, edited in Emacs, ran from both IDLE and terminal. Neither work. Thank you.
import matplotlib.pyplot as plt
plt.show()
Does not produce anything, and there are no errors. I have tried
plt.switch_backend('MacOSX') and the error persists.
Just to wrap up the comments into an answer: pyplot.show() only produces a figure, if a figure has been created. This can be done explicitly by stating
fig = plt.figure()
or implicitly by plotting something (the figure is then created in the background), e.g.
plt.plot([1,2,3])
once plt.show() is called, all currently active figures will be displayed on the screen.
I tried running plt.show() but no plot is shown. I had tried lots of solutions from stackoverflow including setting matplotlib backend to Qt4Agg, switching to other backends (i.e. TkAgg, Agg) and reinstalling matplotlib package but still not solving the issue. Some solutions that I had tried but not working are:
matplotlib does not show my drawings although I call pyplot.show()
Matplotlib.Pyplot does not show output; No Error
Why matplotlib does not plot?
Matplotlib does not show labels or numbers
Below is the code that I tried to run:
plt.scatter(pf["age"], pf["friend_count"])
plt.xlabel = "age"
plt.ylabel = "friends count"
plt.title = "Facebook Friends count by Age"
plt.show()
When plt.scatter(pf["age"], pf["friend_count"]) code was run, a scatter plot was shown but with no labels and title. Running plt.show() did not plot and no error was shown. Appreciate any help.
I installed Anaconda with Python 3 for Windows OS. My Mac laptop is running on Bootcamp.
The labels must use parentheses such as plt.xlabel("text"), not assigned to a string with = like you have in your example code. Make the changes in your code, save the changes, quit and reopen Spyder or whatever interpreter you are running, then run the code again.
plt.figure(1)
plt.scatter(pf["age"], pf["friend_count"])
plt.xlabel("age")
plt.ylabel("friends count")
plt.title("Facebook Friends count by Age")
plt.show()
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
I am using matplotlib to graph out some data in which takes time over a time, therefore I have to use plot_date in order to plot my lines. But for some reason Plot_Date and Plot have completely different formatting as far as connecting lines.
Here is what It looks like when using plot(x,y)
Using plot(x,y,'bo') or plot_date(x,y,'bo')
Plot_date(x,y) looks like that ^^ too.
and using plot_date(x,y,'bo-')
How do I make it so that the result of plot_date looks like the first picture? I have looked all over the Matplotlib website and couldn't find anything.
Thanks in advance
Upon further investigation I found that in order to display a solid line without dots, I needed to use the line style 'b-', making the code plot_date(x,y,'b-').
If you want to have the markers connected with the lines, you can also use
plt.plot_date(y,x,linestyle='solid')
So the complete code for the beginners would be:
from matplotlib import pyplot as plt
plt.plot_date(y,x,linestyle='solid')
plt.show()
Do not forget you need to have matplotlib installed first. For that you need to open command line and write:
pip install matplotlib
I'm using python's matplotlib to do some contours using contour and contourf functions. They all work fine when using show, but when I try to use draw() inside a method, I get the matplotlib window but not graph. The show() call will be done much later on the code and in a different method, and I would like to show one graph at the moment when it's done with draw(), not having to wait until the much later show(). What I'm doing wrong?
Thanks.
Have you turned interactive mode on using ion()? The following works for me on OSX, using the Tk backend and running from the shell's command line:
import matplotlib.pyplot as plt
plt.ion()
plt.figure()
for i in range(10):
plt.plot([i], [i], 'o')
plt.draw()
raw_input("done >>")
That is, as it does each loop, you see the plot change (i.e., it gets redrawn) as each point is added. Here, btw, if I instead call plt.ioff(), I don't see the figure or any updates.
IIRC ,You should be able call fig.show() multiple times. Also, check out using ipython (ipython -pylab) and http://matplotlib.sourceforge.net/users/shell.html