This happens when a keyword argument is specified that overwrites a positional argument. For example, let’s imagine a function that draws a colored box. The function selects the color to be used and delegates the drawing of the box to another function, relaying all extra arguments. def color_box(color, *args, **kwargs): painter.select_color(color) painter.draw_box(*args, **kwargs) Then the … Read more
In python “else if” is spelled “elif”. Also, you need a colon after the elif and the else. Simple answer to a simple question. I had the same problem, when I first started (in the last couple of weeks). So your code should read: def function(a): if a == ‘1’: print(‘1a’) elif a == ‘2’: … Read more
You can simply use pip install numpy Or for python3, use pip3 install numpy
Some performance measurements, using timeit instead of trying to do it manually with time. First, Apple 2.7.2 64-bit: In [37]: %timeit collections.deque((x for x in xrange(10000000) if x%4 == 0), maxlen=0) 1 loops, best of 3: 1.05 s per loop Now, python.org 3.3.0 64-bit: In [83]: %timeit collections.deque((x for x in range(10000000) if x%4 == … Read more
Try this new_df = pd.merge(A_df, B_df, how=’left’, left_on=[‘A_c1′,’c2’], right_on = [‘B_c1′,’c2’]) https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html left_on : label or list, or array-like Field names to join on in left DataFrame. Can be a vector or list of vectors of the length of the DataFrame to use a particular vector as the join key instead of columns right_on : … Read more
You are trying to decode an object that is already decoded. You have a str, there is no need to decode from UTF-8 anymore. Simply drop the .decode(‘utf-8’) part: header_data = data[1][0][1] As for your fetch() call, you are explicitly asking for just the first message. Use a range if you want to retrieve more … Read more
Python tries to convert a byte-array (a bytes which it assumes to be a utf-8-encoded string) to a unicode string (str). This process of course is a decoding according to utf-8 rules. When it tries this, it encounters a byte sequence which is not allowed in utf-8-encoded strings (namely this 0xff at position 0). Since … Read more
As pointed out by michaelb958, you cannot replace in place with data of a different length because this will put the rest of the sections out of place. I disagree with the other posters suggesting you read from one file and write to another. Instead, I would read the file into memory, fix the data … Read more
The latest requirements for running TensorFlow are documented in the installation documentation. TensorFlow only supports 64-bit Python TensorFlow only supports certain versions of Python (for example, Python 3.6 is not supported) So, if you’re using an out-of-range version of Python (older or newer) or a 32-bit version, then you’ll need to use a different version.
You can use operator.itemgetter: from operator import itemgetter a = [-2, 1, 5, 3, 8, 5, 6] b = [1, 2, 5] print(itemgetter(*b)(a)) # Result: (1, 5, 5) Or you can use numpy: import numpy as np a = np.array([-2, 1, 5, 3, 8, 5, 6]) b = [1, 2, 5] print(list(a[b])) # Result: [1, … Read more