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Unfortunately, that doesn't work in Python 3. json.load is just a wrapper around json.loads that calls read() for a file-like object. json.loads requires a string object and the output of urllib.urlopen(url).read() is a bytes object. So one has to get the file encoding in order to make it work in Python 3.
base. read.csv without the url function just works fine. Probably I am missing something if Dirk Eddelbuettel included it in his answer:
read_html() extracts all tables from your html and puts them in a list of dataframes. to_csv() can be used to convert each dataframe to a csv file. For the web page in your example, the relevant table is the last one, which is why I used df_list[-1] in the code below.
#!/usr/bin/python # -*- coding: utf-8 -*- # Works on python 3 and python 2. # when server knows where the request is coming from.
Use this code to read an Internet resource into a String: public static String readToString(String ...
This works fine, if you use the '-v7.3' flag in Matlab when saving out your data. Using the default save (at least in Matlab R2014b) results in a file that cannot be read using the technique above. If you do use the '-v7.3' flag, the numeric data can be read just fine. –
in python3: from urllib.request import urlopen def url_to_image(url, readFlag=cv2.IMREAD_COLOR): # download the image, convert it to a NumPy array, and then read # it into OpenCV format resp = urlopen(url) image = np.asarray(bytearray(resp.read()), dtype="uint8") image = cv2.imdecode(image, readFlag) # return the image return image
In this case, it feels especially bad because iterators relate in a quasi-functional, value-based way to the contents of a file, but managing file handles is a completely separate task. Squashing both, invisibly, into one action, is surprising to humans who read the code and makes it more difficult to reason about program behavior.
data = infile.read() # Read the contents of the file. infile.close() # Close the file since we're done using it. Instead, I prefer the below method of opening files for both reading and writing as it is very clean, and does not require an extra step of closing the file once you are done using it.
The following is an example of how you might write and read a pickle file. Note that if you keep appending pickle data to the file, you will need to continue reading from the file until you find what you want or an exception is generated by reaching the end of the file.