#NUMPY LZIP SERIES#
This iterator generates a series of tuples containing elements from each iterable. The function takes in iterables as arguments and returns an iterator.
#NUMPY LZIP ZIP#
The idea is about merging iterables, which comes handy in many cases. Python’s zip () function is defined as zip (iterables). Working with zip function in Python is pretty neat and easy. We can convert the zip object to a tuple then to a string and write the string to the file: f.write(str(tuple(zip(list_1,list_2))))
#NUMPY LZIP CODE#
The following will be the contents of the file:Īlso, there is a shorter code instead of using the for loop. Now close the file and check the saved data. List_2 = įinally, use the for loop to iterate through lists in zip function and write the result in the file (after converting a tuple to string): for i in zip(list_1, list_2): Now let’s create two lists to zip together. If the file doesn’t exist, it will be created. Use the following line: f = open("zipOutput.txt", "a+") The first step is to open a file (we will use the append mode so nothing of existing content will be deleted).
To save the output from the zip function into a file. If you pass one iterable to the arguments of zip() function, there would be one item in each tuple. > float_zip = zip(float_list1, float_list2) In this section, we will create an example where zip function iterates through a list of floats: > float_list1 = The floating-point numbers contain decimal points like 10.3, 14.44, etc. The zip function also works on floating-point numbers. The for loop uses two iterative variables to iterate through the lists that are zipped together to work in parallel. In the above example, we have two different lists. The tuple() function converts the zip object to a tuple. That’s why we said before the length of the output equals the length of the smallest iterator, which is 2 in this case. Similarly, the second elements of all of them are joined together.īut there is no third element in the iterator y therefore, the third elements of remaining iterators are not included in the output object. The first elements of all of them are joined together. In the above example, we defined three iterators of different lengths. are the iterator objects that we need to join using the zip function.Ĭonsider the following snippet, where we have three iterables and the zip function joins them together. In the syntax above, the iterable0, iterable1, etc. Iterables can be Python lists, dictionary, strings, or any iterable object. numpy.stack() NumPy Zip lumnstack() NumPy Zip Python 1D NumPy 2D NumPy list(zip()) NumPy Zip. Syntax: zip(iterable0, iterable1, interable2, …) If the iterables in the zip function are not the same length, then the smallest length iterable decides the length of the generated output. The zip function pairs the first elements of each iterator together, then pairs the second elements together and so on.
include_r2 : bool, optional Includes R2 and adjusted R2 in the summary table.10 Output to a file How zip function works? If True, only regressors in regressor_order will be included. If False, regressors not specified will be appended to end of the list. drop_omitted : bool, optional Includes regressors that are not specified in regressor_order. All regressors not specified will be appended to the end of the list. Default : None (use the info_dict specified in fault_model_infos, if this property exists) regressor_order : list, optional list of names of the regressors in the desired order. title if title is not None : title = ' \\ caption` would only show `R2` for OLS regression models, but additionally `N` for all other results. Def as_latex ( self, label = '' ): """Generate LaTeX Summary Table Parameters - label : str Label of the summary table that can be referenced in a latex document (optional) """ tables = self.
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