I had the same problem. Here is how I solved it. I have downloaded Anaconda python version 3.7. I already had Python 3.6.7 on my system. I’d get this error if I did: pip install jupyter_contrib_nbextensions To solve it, I did: python3.7 -m pip install jupyter_contrib_nbextensions I have not tried this, but this could solve … Read more
Yes, use the level parameter. Take a look here. Example: In [26]: s first second third bar doo one 0.404705 two 0.577046 baz bee one -1.715002 two -1.039268 foo bop one -0.370647 two -1.157892 qux bop one -1.344312 two 0.844885 dtype: float64 In [27]: s.groupby(level=[‘first’,’second’]).sum() first second bar doo 0.981751 baz bee -2.754270 foo bop … Read more
Your expression seems to work just fine. If I create a template with the jinja2 expression from your question: >>> import jinja2 >>> t = jinja2.Template(‘{{ test1 | replace(“value1″,”my_value1”) | replace(“value2″,”my_value2”) }}’) And then render it, passing in a value for test1 that contains both of the target replacement strings: >>> output = t.render(test1=”this has … Read more
You would be just use: plt.figtext(0.5, 0.01, “one text and next text”, ha=”center”, fontsize=18, bbox={“facecolor”:”orange”, “alpha”:0.5, “pad”:5})
I had the same problem, and solved it by adding a leading underscore to all my imports. It doesn’t look brilliant, but it achieves what you’re after. from __future__ import division as _division import numpy as _np import pandas as _pd Only the stuff that starts without an underscore is imported when you import the … Read more
To get a report of which line has a difference, and a printout of that line, use assertListEqual on the contents, e.g self.assertListEqual( list(open(tst_path)), list(open(ref_path)))
seaborn.distplot has been DEPRECATED in seaborn 0.11 and is replaced with the following: displot(), a figure-level function with a similar flexibility over the kind of plot to draw. This is a FacetGrid, and does not have the ax parameter, so it will not work with matplotlib.pyplot.subplots. histplot(), an axes-level function for plotting histograms, including with … Read more
Just use @patch() to mock out get_complex_data_structure(): @patch(‘module_under_test.get_complex_data_structure’) def test_function_to_test(self, mocked_function): foo_mock = mocked_function.return_value When the test function then calls get_complex_data_structure() a mock object is returned and stored in the local name foo; the very same object that mocked_function.return_value references in the above test; you can use that value to test if do_work() got passed … Read more
You are right, something is odd with the name attributes. Seems to me that you can not use both in the same time. Either you set the name for every columns of the CSV file or you don’t set the name at all. So it seems that you can’t set the name when you are … Read more
I would be a bit careful in calling python directly through environment as one never knows if the internals for activate function has changed. I’m just using basic bat-script to help me out. SET log_file=%cd%\logfile.txt call C:\Anaconda3\Scripts\activate.bat cd \script_directory python script.py arg1 arg2 > %log_file% This script saves the log-file wherever the bat is run … Read more