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Working on a python assignment and was curious as to what [:-1] means in the context of the following code: instructions = f.readline()[:-1] Have searched on here on S.O. and on Google but to no avail. Would love an explanation!
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BetaHere, we specify a start of index 2, no end, and a step of -1. Slicing here will start from index 2 which is 3. The negative steps mean the next value in the slice will be at an index smaller than the previous index by 1. This means 2 - 1 which is 1 so the value at this index, which is 2 will be added to the slice.
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BetaThe mean() function from Python’s statistics module is used to calculate the average of a set of numeric values. It adds up all the values in a list and divides the total by the number of elements. For example, if we have a list [2, 4, 6, 8], the mean would be (2 + 4 + 6 + 8) / 4 = 5.0.This function is useful when analyzing data and finding central tendencies.
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BetaAxis or axes along which the means are computed. The default is to compute the mean of the flattened array. If this is a tuple of ints, a mean is performed over multiple axes, instead of a single axis or all the axes as before. dtype data-type, optional. Type to use in computing the mean.
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BetaHow to reverse a Python list using 1 in Python? The negative slicing and negative indexing can be applied to reverse a string or list in python. Let us take a string named “GURU99” to illustrate an example. Example. Python Code: b= "GURU99" print ("The list is", b) Substring=b[::-1] print (" The reverse of string GURU99 is", Substring) Output:
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BetaNow the indexing here and also the step count, support negative numbers. So, if you give a -1 index, it translates to len(a)-1 index. And if you give -x as the step count, then it would step every x'th value from the start index, till the stop index in the reverse direction. For example. a = '1234' print a[3:0:-1] This would return . 432
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BetaSlicing in Python gets a sub-string from a string. The slicing range is set as parameters i.e. start, stop and step. For slicing, the 1st index is 0.
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BetaCongratulations! You just learned about the ‘+=’ operator in python and also learned about its various implementations. Liked the tutorial? In any case, I would recommend you to have a look at the tutorials mentioned below: The “in” and “not in” operators in Python; Python // operator – Floor Based Division; Python Not Equal operator
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Betapandas.DataFrame.mean# DataFrame. mean (axis = 0, skipna = True, numeric_only = False, ** kwargs) [source] # Return the mean of the values over the requested axis. Parameters: axis {index (0), columns (1)}. Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.. For DataFrames, specifying axis=None will apply the aggregation across both axes.
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BetaW3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.
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