To use UMAP you need to install umap-learn not umap. So, in case you installed umap run the following commands to uninstall umap and install upam-learn instead: pip uninstall umap pip install umap-learn And then in your python code make sure you are importing the module using: import umap.umap_ as umap Instead of import umap
Update dask to 0.15.0 will solve the issue update cmd: conda update dask input pip show dask will show follow message Name: dask Version: 0.15.0 Summary: Parallel PyData with Task Scheduling Home-page: http://github.com/dask/dask/ Author: Matthew Rocklin Author-email: [email protected] License: BSD Location: c:\anaconda3\lib\site-packages Requires:
By default, CrawlerProcess‘s .start() will stop the Twisted reactor it creates when all crawlers have finished. You should call process.start(stop_after_crawl=False) if you create process in each iteration. Another option is to handle the Twisted reactor yourself and use CrawlerRunner. The docs have an example on doing that.
In my experience, plt.tight_layout doesn’t always work but plt.savefig(‘fig.png’,bbox_inches=”tight”) does. In addition, you don’t need the former after using the latter and I have come to the conclusion after some pretty extensive testing of it.
The link you included in your question is simply a wrapper that executes urllib’s read() function, which catches any incomplete read exceptions for you. If you don’t want to implement this entire patch, you could always just throw in a try/catch loop where you read your links. For example: try: page = urllib2.urlopen(urls).read() except httplib.IncompleteRead, … Read more
The purpose of super is to handle inheritance diamonds. If the class inheritance structure uses only single-inheritance, then using super() will result in the same calls as explicit calls to the “parent” class. Consider this inheritance diamond: class A(object): def __init__(self): print(‘Running A.__init__’) super(A,self).__init__() class B(A): def __init__(self): print(‘Running B.__init__’) super(B,self).__init__() class C(A): def __init__(self): … Read more
[:] is the array slice syntax for every element in the array. This answer here goes more in depth of the general uses: How slicing in Python works del arr # Deletes the array itself del arr[:] # Deletes all the elements in the array del arr[2] # Deletes the third element in the array … Read more
For Python 3.5 you can override the value of timeit.template timeit.template = “”” def inner(_it, _timer{init}): {setup} _t0 = _timer() for _i in _it: retval = {stmt} _t1 = _timer() return _t1 – _t0, retval “”” unutbu’s answer works for python 3.4 but not 3.5 as the _template_func function appears to have been removed in … Read more
You can use the tilde ~ to flip the bool values: >>> df = pd.DataFrame({“A”: [“Hello”, “this”, “World”, “apple”]}) >>> df.A.str.contains(“Hello|World”) 0 True 1 False 2 True 3 False Name: A, dtype: bool >>> ~df.A.str.contains(“Hello|World”) 0 False 1 True 2 False 3 True Name: A, dtype: bool >>> df[~df.A.str.contains(“Hello|World”)] A 1 this 3 apple [2 … Read more