i install SciencePlots packsge by pip install SciencePlots, and i have the following codes:
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('science')
def model(x, p):
return x ** (2 * p + 1) / (1 + x ** (2 * p))
x = np.linspace(0.75, 1.25, 201)
fig, ax = plt.subplots()
for p in [10, 15, 20, 30, 50, 100]:
ax.plot(x, model(x, p), label=p)
ax.legend(title='Order')
ax.set(xlabel='Voltage (mV)')
ax.set(ylabel='Current ($\mu$A)')
ax.autoscale(tight=True)
fig.savefig('fig1.jpg', dpi=300)
but it results in an error，the error says：
OSError: 'science' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles
python version: 3.8.8
SciencePlots version: 1.0.1
matplotlib version: 3.3.4
numpy version: 1.19.2
i use Anaconda and Jupyter Notebook for python coding
Can anybody help to fix it? Thanks a lot!
The function expects an iterable.
plt.style.use(['science'])
This allows you to overlap multiple styles
plt.style.use(['science', 'notebook])
The style does not exist by default. Instead it has to be installed here: https://github.com/garrettj403/SciencePlots
Otherwise if you check:
import matplotlib.pyplot as plt
import numpy as np
#plt.style.use(['science', 'notebook'])
plt.style.available
no such style even thought the example did have them:
['Solarize_Light2',
'_classic_test_patch',
'_mpl-gallery',
...
There is no such style.
BTW the example did show you can use that science style if just one and if multiple then you have to use []
I had been facing the same trouble as you. I managed to work it out by installing scienceplots package from the Github repo SciencePlots by typing
pip install SciencePlots (For the latest release) or pip install git+https://github.com/garrettj403/SciencePlots (for the latest commit) into a Linux Terminal.
Since then I have been able to import 'science' style successfully.
Although in the Github repo it is recommended to import scienceplots into the notebook, but I actually tested my notebook without it and it worked just fine.
EDIT: Nonetheless, the command plt.style.available doesn't show science as an available style and I only get
['Solarize_Light2',
'_classic_test_patch',
'_mpl-gallery',
'_mpl-gallery-nogrid',
'bmh',
'classic',
'dark_background',
'fast',
'fivethirtyeight',
'ggplot',
'grayscale',
'seaborn-v0_8',
'seaborn-v0_8-bright',
'seaborn-v0_8-colorblind',
'seaborn-v0_8-dark',
'seaborn-v0_8-dark-palette',
'seaborn-v0_8-darkgrid',
'seaborn-v0_8-deep',
'seaborn-v0_8-muted',
'seaborn-v0_8-notebook',
'seaborn-v0_8-paper',
'seaborn-v0_8-pastel',
'seaborn-v0_8-poster',
'seaborn-v0_8-talk',
'seaborn-v0_8-ticks',
'seaborn-v0_8-white',
'seaborn-v0_8-whitegrid',
'tableau-colorblind10']
as available styles.
Related
I have been using numpy and matplotlib together for some time now, successfully. Suddenly, I am getting unusual errors when using them together. The following is a minimal example:
import numpy as np
import matplotlib.pyplot as plt
fig,ax = plt.subplots(1,1)
x = np.eye(10)
u = np.linalg.svd(x)
plt.show()
If I run the code once, it works. If I run the code again, I get an exception:
LinAlgError: SVD did not converge. Bizarrely, this behavior disappears when the call to pyplot is removed:
import numpy as np
import matplotlib.pyplot as plt
#fig,ax = plt.subplots(1,1)
x = np.eye(10)
u = np.linalg.svd(x)
#plt.show()
I tried this with two different python environments with numpy versions 18.1 and 18.5. I am wondering if anyone has any information about what could possibly cause this behavior.
edit: I was running these two blocks of code in a jupyter notebook with only those lines of code and nothing else. In order to reproduce the behavior in the interactive interpreter, you need to add the line plt.show() in between runs. I edited the post to include this line.
edit: matplotlib 3.3.2, numpy 18.1 or 18.5, and I can use python 3.8.1 or 3.6.8
System Informations
Qiskit version: 0.17.0
Python version: 3.7.7
Operating system: Windows 10 home x64
What is the current behavior?
I am using spyder 4.1.1 on Anaconda and any time I try to plot data it does not show up. The code runs with no errors but the plot it self does not appear anywhere.
Steps to reproduce the problem
Running the code listed below which is from the IBMQ website:
import numpy
import qiskit as qc
from qiskit import QuantumCircuit, execute, Aer
import matplotlib
from qiskit.visualization import plot_state_city
circ = qc.QuantumCircuit(3)
circ.h(0)
circ.cx(0,1)
circ.cx(0,2)
print(circ.draw())
backend = Aer.get_backend('statevector_simulator')
job = execute(circ, backend)
result = job.result()
outputstate = result.get_statevector(circ, decimals=3)
print(outputstate)
plot_state_city(outputstate)
What is the expected behavior?
for the plot state city plot to show up in the console or somewhere else
Suggested solutions
I tried using both matplotlib.pylot.show() and matplotlib.pyplot.draw()
Try follow the instructions under "Spyder plots in separate windows" here. Then you can also call circ.draw(output='mpl') to draw the circuit in a window. Hope this helps.
To print your circuit, you have to type print(name of the circuit) so in your case type print(circ).
This may be because the plots don't show in spyder by default. If you run this code in a Jupyter Notebook the plots should show up just fine!
I generally use pycharm ide for running the qiskit code. I think, spyder should also work the same.
Please modify your code as below. I hope, it will work for you.
import numpy
import qiskit as qc
from qiskit import QuantumCircuit, execute, Aer
import matplotlib
from qiskit.visualization import plot_state_city
import matplotlib.pyplot as plt
circ = qc.QuantumCircuit(3)
circ.h(0)
circ.cx(0,1)
circ.cx(0,2)
circ.draw(output='mpl')
backend = Aer.get_backend('statevector_simulator')
job = execute(circ, backend)
result = job.result()
outputstate = result.get_statevector(circ, decimals=3)
print(outputstate)
plot_state_city(outputstate)
plt.show()
1st: I changed the preferences of spyder: Tools ==> Preferences ==> ipython console ==> Graphics ==> Graphics backend ==> Automatic.
2nd: then I have tried the option mentioned in the answer above, with minor modification is that by writing 'mpl' only between the brackets after the word "draw" to have the code be circ.draw('mpl'), and things worked fine.
I have the next code in python
import np_plots as npp
import matplotlib.pyplot as plt
import numpy as np
import math as m
import scipy
from scipy.integrate import odeint
def plotLimitCycle(bval):
rhs = lambda X, t: [-X[0]+X[1]*X[0]**2, bval - X[1]*X[0]**2]
xeq, yeq = bval, 1.0/bval
cyclerad = m.sqrt(1-bval)
nbh = min(cyclerad, 0.05)
IC = [xeq-nbh/5.0, yeq-nbh/5.0]
time_span = np.linspace(0,400,40000)
fig = plt.figure()
solution = odeint(rhs, IC, time_span)
X, Y = zip(*solution)
plt.plot(X, Y)
axes = plt.gca()
axXmin, axXmax = axes.get_xlim()
axYmin, axYmax = axes.get_ylim()
xmin = max(-15, axXmin)
xmax = min(15, axXmax)
ymin = max(-15, axYmin)
ymax = min(15, axYmax)
X,Y,U,V = npp.ezDomainQuiver2D([[xmin, xmax],[ymin, ymax]],[25,25],lambda X: rhs(X, 0),Normalize=True)
plt.quiver(X,Y,U,V)
plt.scatter([xeq],[yeq], color='red')
plt.xlim([xmin, xmax])
plt.ylim([ymin, ymax])
plt.axes().set_aspect('equal', 'datalim')
plt.show()
It work pretty well on my friend computer because he showed me the plots but I can't make it run in mine, I'm using Python 3.5.0cr1 Shell to run it out but it always came with te next error:
**Traceback (most recent call last):
File "C:\Users\PankePünke\Desktop\limites.py", line 1, in <module>
import np_plots as npp
ImportError: No module named 'np_plots'**
I'm totally new in Python programming and my friend made this program for me in order to make some advances in my thesis but I want to continue working with this program and get the plots from this. I do not know how to install or what kind of procceddure I should follow in order to get what I want (the plots and graphics that this program make) So... I'll be very thankful if somebody can help me in not a advance way, because how a wrote I'm totally new in Python, I just installed it and that is all.
You friend had a lib called np_plots on their computer, it is not part of the standard lib so you need to also install/get it on your comp or the code will not run. Most likely your friend actually wrote the code as I cannot see any mention of that lib anywhere so you will have to get it from them.
Apart from your friends lib, scipy and numpy are also not in the standard library, they do come with some distributions like Canopy but if you just installed a regular version of python you will need to install those also.
Might be worth checking out pip as it is the de-facto standard package manager for python.
I started to learn MatPlotLib using this tutorial for beginners. Here is the first example.
from pylab import *
X = np.linspace(-np.pi, np.pi, 256,endpoint=True)
C,S = np.cos(X), np.sin(X)
If I write these 3 lines into my python file and execute it in the command line (by typing python file_name.py), nothing happens. No error message, no plot.
Does anybody know why I do not see the plot?
ADDED
Of course I need to use show. But even if I add the following 3 lines:
plot(X,C)
plot(X,S)
show()
it still does no generate anything.
ADDED
Here are the lines that I use now:
import pylab as p
C = [1,2,3,4]
S = [10, 20, 30, 10]
p.plot(C,S)
p.show()
I still have the same result (nothing).
It could be a problem with the backend.
What is the output of
python -c 'import matplotlib; import matplotlib.pyplot; print(matplotlib.backends.backend)'?
If it is the 'agg' backend, what you see is the expected behaviour as it is a non-interactive backend that does not show anything to the screen, but work with plt.savefig(...).
You should switch to, e.g., TkAgg or Qt4Agg to be able to use show. You can do it in the matplotlib.rc file.
#shashank: I run matplotlib both on 12.04 and 12.10 without problems. In both cases I use the Qt4Agg backend. If you don't have the matplotlibrc set, the default backend is used.
I'm sure that for Precise matplotlib repo was built with TkAgg. If the Quantal version has been built with e.g. Agg, then that would explain the difference
You need to call the function:
show()
to be more exact:
pylab.show()
and even better don't use:
from pylab import *
rather do:
import pylab as p:
and then:
X = np.linspace(-np.pi, np.pi, 256,endpoint=True)
C,S = np.cos(X), np.sin(X)
p.plot(C,S)
p.show()
Try adding. I use Jupyter and this worked for me.
%matplotlib inline
When I run this simple code:
from pylab import *
import numpy as np
X = [];
Y = [];
for i in range (0,10):
X.append(i)
Y.append(i)
plot(X,Y)
show()
I don't get any window. I tried to replace show with draw with the same result.
I'm using python version 3.2.2
How can I show the window/plot than (apart from printing it to file and open the file).
Note, I'm using this example:
http://matplotlib.sourceforge.net/examples/api/custom_scale_example.html
I don't think numpy or scipy have a stable release for 3.2 yet.
Unless it's important to you that you use python 3.2, try to install python 2.7 instead. Everything should work fine there.