ctypes – Beginner

I have the task of “wrapping” a c library into a python class. The docs are incredibly vague on this matter. It seems they expect only advanced python users would implement ctypes. Well i’m a beginner in python and need help. Some step by step help would be wonderful. So I have my c library. … Read more

How can I concatenate str and int objects?

The problem here is that the + operator has (at least) two different meanings in Python: for numeric types, it means “add the numbers together”: … and for sequence types, it means “concatenate the sequences”: As a rule, Python doesn’t implicitly convert objects from one type to another1 in order to make operations “make sense”, because that would … Read more

Add Legend to Seaborn point plot

I would suggest not to use seaborn pointplot for plotting. This makes things unnecessarily complicated.Instead use matplotlib plot_date. This allows to set labels to the plots and have them automatically put into a legend with ax.legend(). In case one is still interested in obtaining the legend for pointplots, here a way to go:

Type error: cannot convert the series to

The problem is quite trivial, You’re using a Pandas.DataFrame. Now when you slice it rep_points[‘lat’], you get a Pandas.Series. The gmplot.scatter() is expecting an iterable of floats not a series of floats. Now if you convert your Pandas.Series to a list by using rep_points[‘lat’].tolist() It’ll start working Below is your updated code: Other things that helped to point it out: type(rep_points[‘lat’]) is a Pandas.Series type(rep_points[‘lat’][0]) is a Numpy.Float to iterate over a Pandas.Series you need to use iteritems

Why am I getting this syntax error: keyword can’t be an expression

You are defining a keyword argument by using =: That makes everything before the = a Python expression, namely number_1 * number_2. Python doesn’t allow this. If you wanted to print out a nicely formatted expression, you’ll have to use separate string arguments: Python writes out separate arguments with a space to separate them (but you can use sep=’…’ to set a different … Read more

Why did ‘reset_index(drop=True)’ function unwantedly remove column?

As the saying goes, “What happens in your interpreter stays in your interpreter”. It’s impossible to explain the discrepancy without seeing the full history of commands entered into both Python interactive sessions. However, it is possible to venture a guess: df.reset_index(drop=True) drops the current index of the DataFrame and replaces it with an index of increasing … Read more

How to remove specific substrings from a set of strings in Python?

Strings are immutable. str.replace creates a new string. This is stated in the documentation: str.replace(old, new[, count]) Return a copy of the string with all occurrences of substring old replaced by new. […] This means you have to re-allocate the set or re-populate it (re-allocating is easier with a set comprehension):