numpy.core.defchararray.ljust (arr, width, fillchar = & # 39; & # 39;) — this is another function for doing string operations in numpy. Returns an array with left-aligned arr elements in a length-width string. It fills the remaining space of each element in the array with the
fillchr . If
fillchr is not passed, the remaining spaces are filled with blank space.
arr: strong > array_like of str or unicode.Input array.
width: The final width of the each string.
fillchar: The character to fill in remaining space.
Returns: Output array of str or unicode, depending on input type.
Code # 1: strong>
Input array: [`Numpy`` Python` `Pandas`] Output left justified array: [`Numpy` `Python` `Pandas`]
Code # 2:
Input array: [`Numpy`` Python` `Pandas`] Output left justified array: [` Numpy *** `` Python ** `` Pandas ** `]
Code # 3:
Input array: [`1`` 11` `111`] Ou tput left justified array: [`1 ----` `11 ---` `111 -`]
You can do this with
Return the string left justified in a string of length width. Padding is done using the specified fillchar (default is a space). The original string is returned if width is less than
>>> "hi".ljust(10) "hi "
For many objects, you can use this code, replacing "object" with the object you"re interested in:
object_methods = [method_name for method_name in dir(object) if callable(getattr(object, method_name))]
I discovered it at diveintopython.net (now archived). Hopefully, that should provide some further detail!
If you get an
AttributeError, you can use this instead:
getattr( is intolerant of pandas style python3.6 abstract virtual sub-classes. This code does the same as above and ignores exceptions.
import pandas as pd df = pd.DataFrame([[10, 20, 30], [100, 200, 300]], columns=["foo", "bar", "baz"]) def get_methods(object, spacing=20): methodList =  for method_name in dir(object): try: if callable(getattr(object, method_name)): methodList.append(str(method_name)) except: methodList.append(str(method_name)) processFunc = (lambda s: " ".join(s.split())) or (lambda s: s) for method in methodList: try: print(str(method.ljust(spacing)) + " " + processFunc(str(getattr(object, method).__doc__)[0:90])) except: print(method.ljust(spacing) + " " + " getattr() failed") get_methods(df["foo"])
a += [""] * (N - len(a))
or if you don"t want to change
a in place
new_a = a + [""] * (N - len(a))
you can always create a subclass of list and call the method whatever you please
class MyList(list): def ljust(self, n, fillvalue=""): return self + [fillvalue] * (n - len(self)) a = MyList(["1"]) b = a.ljust(5, "")
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