I want to run modules of Geopandas in Spyder. Apparently Geopandas is compatible with Sypder 4.2.5, (not with any higher version) and I could run code with this combination. However, in one of my code I had to use "input" command and the problem starts there. Sypder 4.2.5 crashes if I try to run input command. From the internet, I came to know that there was a bug in spyder and it was fixed in Spyder 5.3. Now I have no idea how to fix this problem. If I upgrade Spyder, Geopandas will not work. If I don't upgrade spyder, 'input' will not work.
I was trying to run something like the following code
def Coditions_R3():
print("This is R3")
def Coditions_R4():
print("This is R4")
System = input('Please Enter drone system: \n' )
print(System)
if (System == 'R3'):
Coditions_R3()
elif (System == 'R4'):
Coditions_R4()
Can anyone help? is there any way around to run geopandas with higher Spyder versions? or use something else in place of input?
Related
How can I test if my notebook is running on Google Colab?
I need this test as obtaining / unzipping my training data is different if running on my laptop or on Colab.
Try importing google.colab
try:
import google.colab
IN_COLAB = True
except:
IN_COLAB = False
Or just check if it's in sys.modules
import sys
IN_COLAB = 'google.colab' in sys.modules
For environments using ipython
If you are sure that the script will be run using ipython which is the most typical usage, there is also the possibility to check the ipython interpreter used. I think it is a little bit more clear and you don't have to import any module.
if 'google.colab' in str(get_ipython()):
print('Running on CoLab')
else:
print('Not running on CoLab')
If you need to do it multiple times you might want to assign a variable so you don't have to repeat the str(get_ipython()).
RunningInCOLAB = 'google.colab' in str(get_ipython())
RunningInCOLAB is True if run in a Google Colab notebook.
For environments not using ipython
In this case you have to check ipython is used first, assuming that COLab will always use ipython.
RunningInCOLAB = 'google.colab' in str(get_ipython()) if hasattr(__builtins__,'__IPYTHON__') else False
you can check environment variable like this:
import os
if 'COLAB_GPU' in os.environ:
print("I'm running on Colab")
actually you can print out os.environ to check what's associated with colab and then check the key
Improved Solution for all Python environments
As none of the other answers given here worked for me, and I was not using iPython. I checked the environment variables they use in Colab and thus, the following is best for checking the environment:
import os
if os.getenv("COLAB_RELEASE_TAG"):
print("Running in Colab")
else:
print("NOT in Colab")
In a %%bash cell, use:
%%bash
[[ ! -e /colabtools ]] && exit # Continue only if running on Google Colab
# Do Colab-only stuff here
Or in Python equivalence
import os
if os.path.exists('/colabtools'):
# do stuff
I am creating plots using matplotlib and mpld3 (both successfully installed) but when plotting I got this error message:
...File "/usr/lib/python2.7/lib-tk/Tkinter.py", line 1767, in init#012 self.tk = _tkinter.create(screenName, baseName, className, interactive, wantobjects, useTk, sync, use)#012TclError: no display name and no $DISPLAY environment variable.
Any idea how to solve that?
thanks for your help
Try this
import matplotlib
matplotlib.use('Agg')
Check this page for more informations
I am a heavy user of jupyter notebook and, lately, I am running it using pypy instead of python to get extra speed. It works perfectly but I am missing matplotlib so much. Is there any decent 2D plotting library compatible with pypy and jupyter notebook? I don't need fancy stuff, scatter, line and bar plots would be more than enough.
Bokeh is working fairly good with pypy. The only problem I have encountered is linked to the use of numpy.datetime64 that is not yet supported by pypy. Fortunately it is enough to monkey-patch bokeh/core/properties.py and bokeh/util/serialization.py to pass in case of datetime64 reference.
I did it in this way:
bokeh/core/properties.py
...
try:
import numpy as np
datetime_types += (np.datetime64,)
except:
pass
...
and
bokeh/util/serialization.py
...
# Check for astype failures (putative Numpy < 1.7)
try:
dt2001 = np.datetime64('2001')
legacy_datetime64 = (dt2001.astype('int64') ==
dt2001.astype('datetime64[ms]').astype('int64'))
except:
legacy_datetime64 = False
pass
...
And managed to get nice looking plots in jupyter using pypy.
I would like to use inline plotting in the ipython notebook, i.e.
%matplotlib inline
import matplotlib.pyplot as plt
x = np.arange(100)
plot(x, x**2)
should show an image.
Yet I only get the following message:
lib/python2.7/site-packages/IPython/core/formatters.py:239: FormatterWarning: Exception in image/png formatter: Could not create write struct
FormatterWarning,
What could be the reason for this?
matplotlib==1.3.1 and ipython==2.1.0
Does it say anything on the terminal (i.e. the server)?
My guess is that this is most probably due to some libpng incompatibility issues. If you are running this on OS X, the following discussion may help:
libpng version incompatibility in fresh installation of IPython
Even if you aren't running OS X, similar situations may occur, if you have several copies of libpng floating around.
I have the following code in IPython running IPython QT Console on Linux.
%pylab inline
Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].
For more information, type 'help(pylab)'.
fig = figure()
ax = fig.add_axes()
ax = fig.add_axes([0,500, 0, 5000])
ax.plot([1,2,3,44], [4,4,55,55])
Out[5]: [<matplotlib.lines.Line2D at 0x3d8e7d0>]
fig
Out[6]: <matplotlib.figure.Figure at 0x3d25fd0>
fig.show()
/usr/lib/pymodules/python2.7/matplotlib/figure.py:362: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure
"matplotlib is currently using a non-GUI backend, "
I've been struggling to make this work for some time, I've tried changing the backend manually with matplotlib.use() to Qt4Agg, GTK etc with no luck. This also happens in IPython notebook even when I call display().
Any ideas how to get the inline plotting working?
Marked Jakob's answer as the answer, but both are true actually. I had to replace the matploblibrc file with a new copy, started IPython QT Console with --pylab=None then manually entered %pylab inline in the console. Somehow this fixed the problem.
The axis object is defined incorrectly, this prevents matplotlib from rendering.
Remove the first ax = fig.add_axes(), and replace the second line with
ax = fig.add_axes([0, 0, 1, 1]).
The add_axes method requests the size of the axis in relative coordinates, in the form left, bottom, width, height with values between 0 and 1, see e.g. matplotlib tutorial.
You may also try fig.add_subplot(111) instead of fig.add_axes() or fig,ax = subplots() to create your figure and axis objects. The latter assumes that you have populated the interactive namespace matplotlib (%pylab) call in IPython.
It looks like your matplotlib build was compiled without a gui backend.
This is done when either a) it's explicitly specified (handy for webservers), or b) the required libraries for at least one gui backend aren't present (e.g. no Tk, Gtk, Qt, etc).
How did you install matplotlib?
If you compiled it from source, make sure that you have the development libraries for at least Tk installed and that your python install was compiled with Tk support (it is by default). If you installed it from your distro's repositories, whoever built the package built it without gui support, and you'll need to install it from another source.