I'm trying to use Jupyter notebook for the first time and following tutorials, but I'm having trouble getting plots to actually draw. I'm using the %matplotlib inline command, and its not giving me an error, but it's not drawing any plots either.
My notebook is:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
In [2]:
df = pd.read_csv('election results.csv', index_col='ons_id')
In [3]:
df['valid_votes-2015'].plot
Out[3]:
<pandas.tools.plotting.SeriesPlotMethods object at 0x000002B03AFEF6A0>
Any help would be appreciated.
Thanks
You need to call plot():
df['valid_votes-2015'].plot()
You just get the method object plot with:
df['valid_votes-2015'].plot
but you need to make it do something with the added parenthesis.
Related
Simple matplotlib plot. Here is my code
from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
from itertools import count
import random
x = []
y = []
index=count()
def animate(i):
x.append(next(index))
y.append(random.randint(0,10))
plt.plot(x,y)
a = FuncAnimation(plt.gcf(),animate,interval=1000)
plt.tight_layout()
plt.show()
Running the code above I get
<Figure size 576x396 with 0 Axes>
but no chart appears.
Are you using Jupyter notebooks to run it? I tried with native libraries and it works just fine. The plots are visible.
Checking here i see the same situation. Could you try to use %matplotlib inline before importing matplotlib as:
%matplotlib inline # this line before importing matplotlib
from matplotlib import pyplot as plt
That said, the animation can be displayed using JavaScript. This is similar to the ani.to_html5() solution, except that it does not require any video codecs.
from IPython.display import HTML
HTML(a.to_jshtml())
this answer brings a more complete overview...
I have a small Python program that reads from a CSV and prints out a single column (using VSCode).
import pandas as pd
fields = ['Name']
somedata_df = pd.read.csv("somedata.csv")
print(somedata_df[fields])
The above code works as intended and prints out the "Name" column. Simply adding import seaborn as sns or import matplotlib.pyplot as plt causes the program to run as usual with no warnings or errors, but it does not print anything to the terminal.
This issue arose from my exploration as to why I could not produce any plots in a different program. The same thing happened there - program ran without warnings or errors, but did not show any of the plots. No, I did not forget to use matplotlib.pyplot.show().
Even running this example code from Seaborn fails to display a plot:
import seaborn as sns
import matplotib.pyplot as plt
sns.set()
tips = sns.load_dataset("tips")
sns.relplot(x="total_bill", y="tip", col="time",
hue="smoker", style="smoker", size="size",
data=tips)
plt.show()
What is causing this behavior?
Still unsure as to why plots do not show up, and why importing either Matplotlib or Seaborn causes the regular terminal to stop displaying outputs, but selecting the code, right-clicking it, and choosing "Run Selection/Line in Python Interactive Window" works both for the original print statement and any plotting.
I am trying to use IPython notebook on MacOS X with Python 2.7.2 and IPython 1.1.0.
I cannot get matplotlib graphics to show up inline.
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
I have also tried %pylab inline and the ipython command line arguments --pylab=inline but this makes no difference.
x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp')
plt.show()
Instead of inline graphics, I get this:
<matplotlib.figure.Figure at 0x110b9c450>
And matplotlib.get_backend() shows that I have the 'module://IPython.kernel.zmq.pylab.backend_inline' backend.
I used %matplotlib inline in the first cell of the notebook and it works. I think you should try:
%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
You can also always start all your IPython kernels in inline mode by default by setting the following config options in your config files:
c.IPKernelApp.matplotlib=<CaselessStrEnum>
Default: None
Choices: ['auto', 'gtk', 'gtk3', 'inline', 'nbagg', 'notebook', 'osx', 'qt', 'qt4', 'qt5', 'tk', 'wx']
Configure matplotlib for interactive use with the default matplotlib backend.
If your matplotlib version is above 1.4, it is also possible to use
IPython 3.x and above
%matplotlib notebook
import matplotlib.pyplot as plt
older versions
%matplotlib nbagg
import matplotlib.pyplot as plt
Both will activate the nbagg backend, which enables interactivity.
Ctrl + Enter
%matplotlib inline
Magic Line :D
See: Plotting with Matplotlib.
Use the %pylab inline magic command.
To make matplotlib inline by default in Jupyter (IPython 3):
Edit file ~/.ipython/profile_default/ipython_config.py
Add line c.InteractiveShellApp.matplotlib = 'inline'
Please note that adding this line to ipython_notebook_config.py would not work.
Otherwise it works well with Jupyter and IPython 3.1.0
I have to agree with foobarbecue (I don't have enough recs to be able to simply insert a comment under his post):
It's now recommended that python notebook isn't started wit the argument --pylab, and according to Fernando Perez (creator of ipythonnb) %matplotlib inline should be the initial notebook command.
See here: http://nbviewer.ipython.org/github/ipython/ipython/blob/1.x/examples/notebooks/Part%203%20-%20Plotting%20with%20Matplotlib.ipynb
I found a workaround that is quite satisfactory. I installed Anaconda Python and this now works out of the box for me.
I did the anaconda install but matplotlib is not plotting
It starts plotting when i did this
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
I had the same problem when I was running the plotting commands in separate cells in Jupyter:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
<Figure size 432x288 with 0 Axes> #this might be the problem
In [4]: ax = fig.add_subplot(1, 1, 1)
In [5]: ax.scatter(x, y)
Out[5]: <matplotlib.collections.PathCollection at 0x12341234> # CAN'T SEE ANY PLOT :(
In [6]: plt.show() # STILL CAN'T SEE IT :(
The problem was solved by merging the plotting commands into a single cell:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x, y)
Out[3]: <matplotlib.collections.PathCollection at 0x12341234>
# AND HERE APPEARS THE PLOT AS DESIRED :)
You can simulate this problem with a syntax mistake, however, %matplotlib inline won't resolve the issue.
First an example of the right way to create a plot. Everything works as expected with the imports and magic that eNord9 supplied.
df_randNumbers1 = pd.DataFrame(np.random.randint(0,100,size=(100, 6)), columns=list('ABCDEF'))
df_randNumbers1.ix[:,["A","B"]].plot.kde()
However, by leaving the () off the end of the plot type you receive a somewhat ambiguous non-error.
Erronious code:
df_randNumbers1.ix[:,["A","B"]].plot.kde
Example error:
<bound method FramePlotMethods.kde of <pandas.tools.plotting.FramePlotMethods object at 0x000001DDAF029588>>
Other than this one line message, there is no stack trace or other obvious reason to think you made a syntax error. The plot doesn't print.
If you're using Jupyter notebooks in Visual Studio Code (VSCode) then the inline backend doesn't seem to work so you need to specify widget/ipympl (which you may need to install support for e.g. pip install ipympl):
%matplotlib widget
I'm trying to make plots in a Jupyter Notebook that update every second or so. Right now, I just have a simple code which is working:
%matplotlib inline
import time
import pylab as plt
import numpy as np
from IPython import display
for i in range(10):
plt.close()
a = np.random.randint(100,size=100)
b = np.random.randint(100,size=100)
fig, ax = plt.subplots(2,1)
ax[0].plot(a)
ax[0].set_title('A')
ax[1].plot(b)
ax[1].set_title('B')
display.clear_output(wait=True)
display.display(plt.gcf())
time.sleep(1.0)
Which updated the plots I have created every second. However, at the end, there is an extra copy of the plots:
Why is it doing this? And how can I make this not happen? Thank you in advance.
The inline backend is set-up so that when each cell is finished executing, any matplotlib plot created in the cell will be displayed.
You are displaying your figure once using the display function, and then the figure is being displayed again automatically by the inline backend.
The easiest way to prevent this is to add plt.close() at the end of the code in your cell.
Another alternative would be to add ; at the end of the line! I am experiencing the same issue with statsmodels methods to plot the autocorrelation of a time series (statsmodels.graphics.tsaplot.plot_acf()):
from statsmodels.graphics.tsaplots import plot_acf
plot_acf(daily_outflow["count"]);
Despite using %matplotlib inline, it's not working for some libraries, such as statsmodels. I recommend always use plt.show() at the end of your code.
I am trying to use IPython notebook on MacOS X with Python 2.7.2 and IPython 1.1.0.
I cannot get matplotlib graphics to show up inline.
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
I have also tried %pylab inline and the ipython command line arguments --pylab=inline but this makes no difference.
x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp')
plt.show()
Instead of inline graphics, I get this:
<matplotlib.figure.Figure at 0x110b9c450>
And matplotlib.get_backend() shows that I have the 'module://IPython.kernel.zmq.pylab.backend_inline' backend.
I used %matplotlib inline in the first cell of the notebook and it works. I think you should try:
%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
You can also always start all your IPython kernels in inline mode by default by setting the following config options in your config files:
c.IPKernelApp.matplotlib=<CaselessStrEnum>
Default: None
Choices: ['auto', 'gtk', 'gtk3', 'inline', 'nbagg', 'notebook', 'osx', 'qt', 'qt4', 'qt5', 'tk', 'wx']
Configure matplotlib for interactive use with the default matplotlib backend.
If your matplotlib version is above 1.4, it is also possible to use
IPython 3.x and above
%matplotlib notebook
import matplotlib.pyplot as plt
older versions
%matplotlib nbagg
import matplotlib.pyplot as plt
Both will activate the nbagg backend, which enables interactivity.
Ctrl + Enter
%matplotlib inline
Magic Line :D
See: Plotting with Matplotlib.
Use the %pylab inline magic command.
To make matplotlib inline by default in Jupyter (IPython 3):
Edit file ~/.ipython/profile_default/ipython_config.py
Add line c.InteractiveShellApp.matplotlib = 'inline'
Please note that adding this line to ipython_notebook_config.py would not work.
Otherwise it works well with Jupyter and IPython 3.1.0
I have to agree with foobarbecue (I don't have enough recs to be able to simply insert a comment under his post):
It's now recommended that python notebook isn't started wit the argument --pylab, and according to Fernando Perez (creator of ipythonnb) %matplotlib inline should be the initial notebook command.
See here: http://nbviewer.ipython.org/github/ipython/ipython/blob/1.x/examples/notebooks/Part%203%20-%20Plotting%20with%20Matplotlib.ipynb
I found a workaround that is quite satisfactory. I installed Anaconda Python and this now works out of the box for me.
I did the anaconda install but matplotlib is not plotting
It starts plotting when i did this
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
I had the same problem when I was running the plotting commands in separate cells in Jupyter:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
<Figure size 432x288 with 0 Axes> #this might be the problem
In [4]: ax = fig.add_subplot(1, 1, 1)
In [5]: ax.scatter(x, y)
Out[5]: <matplotlib.collections.PathCollection at 0x12341234> # CAN'T SEE ANY PLOT :(
In [6]: plt.show() # STILL CAN'T SEE IT :(
The problem was solved by merging the plotting commands into a single cell:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x, y)
Out[3]: <matplotlib.collections.PathCollection at 0x12341234>
# AND HERE APPEARS THE PLOT AS DESIRED :)
You can simulate this problem with a syntax mistake, however, %matplotlib inline won't resolve the issue.
First an example of the right way to create a plot. Everything works as expected with the imports and magic that eNord9 supplied.
df_randNumbers1 = pd.DataFrame(np.random.randint(0,100,size=(100, 6)), columns=list('ABCDEF'))
df_randNumbers1.ix[:,["A","B"]].plot.kde()
However, by leaving the () off the end of the plot type you receive a somewhat ambiguous non-error.
Erronious code:
df_randNumbers1.ix[:,["A","B"]].plot.kde
Example error:
<bound method FramePlotMethods.kde of <pandas.tools.plotting.FramePlotMethods object at 0x000001DDAF029588>>
Other than this one line message, there is no stack trace or other obvious reason to think you made a syntax error. The plot doesn't print.
If you're using Jupyter notebooks in Visual Studio Code (VSCode) then the inline backend doesn't seem to work so you need to specify widget/ipympl (which you may need to install support for e.g. pip install ipympl):
%matplotlib widget