From your code, it looks like you’re loading a JSON file which has JSON data on each separate line. read_json supports a lines argument for data like this: data_df = pd.read_json(‘C:/Users/Alberto/nutrients.json’, lines=True) Note Remove lines=True if you have a single JSON object instead of individual JSON objects on each line.
map() returns an iterator, and will not process elements until you ask it to. Turn it into a list to force all elements to be processed: list(map(self.do_someting,range(10))) or use collections.deque() with the length set to 0 to not produce a list if you don’t need the map output: from collections import deque deque(map(self.do_someting, range(10))) but … Read more
You turn off pack_propagate by setting pack_propagate(0) Turning off pack_propagate here basically says don’t let the widgets inside the frame control it’s size. So you’ve set it’s width and height to be 500. Turning off propagate stills allows it to be this size without the widgets changing the size of the frame to fill their … Read more
Cleaner Pythonic approach: >>> [(x,y) for x,y in zip(myList, myList[1:]) if y == 9] [(8, 9), (4, 9), (7, 9)] What is the code above doing: zip(some_list, some_list[1:]) would generate a list of pairs of adjacent elements. Now with that tuple, filter on the condition that the second element is equal to 9. You’re done … Read more
If you encounter a custom class that explicitly raises an exception in __str__ (or __repr__ if __str__ is not defined). Or, for example a class that returns a bytes object from __str__: class Foo: def __str__(self): return b” str(Foo()) # TypeError: __str__ returned non-string (type bytes) But personally, I have never seen this and I’m … Read more
The answer above do not really solved the problem. They are sending the data as paramters instead of JSON data as the body of the request. From http://bajiecc.cc/questions/1135255/scrapy-formrequest-sending-json: my_data = {‘field1’: ‘value1’, ‘field2’: ‘value2′} request = scrapy.Request( url, method=’POST’, body=json.dumps(my_data), headers={‘Content-Type’:’application/json’} )
While dropping new DataFrame returns. If you want to apply changes to the current DataFrame you have to specify inplace parameter. Option 1 Assigning back to df – df = df.drop(790) Option 2 Inplace argument – df.drop(790, inplace=True)
This does the job: stats = { ‘copied’: 5, ‘skipped’: 14 } print( ‘Copied: {copied}, Skipped: {skipped}’.format( **stats ) ) #use ** to “unpack” a dictionary For more info please refer to: http://docs.python.org/py3k/library/string.html#format-examples and http://docs.python.org/py3k/tutorial/controlflow.html#keyword-arguments
An easier solution to the above issue is to use multi-stage docker containers where you can copy the content from one to another. In the above case you can have openjdk:slim as the base container and then use content from a python container to be copied over into this base container as follows: FROM openjdk:slim … Read more
I am pretty sure you are missing a shebang at the beginning of your file, for example #!/usr/bin/env python3 #!/usr/bin/env python2