It seems you need DataFrame.var: Normalized by N-1 by default. This can be changed using the ddof argument Sample: If need numpy solutions with numpy.var: Differences are because by default ddof=1 in pandas, but you can change it to 0:
It means: Source. The first character specifies the kind of data and the remaining characters specify the number of bytes per item, except for Unicode, where it is interpreted as the number of characters. The item size must correspond to an existing type, or an error will be raised. The supported kinds are to an … Read more
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
Look at the code:
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
You should use sum: Then you use loc with Series, in that case the index should be set as the same as the specific column you need to sum: because if you pass scalar, the values of all rows will be filled: Two other solutions are with at, and ix see the applications below: Note: Since Pandas v0.20, ix has been deprecated. Use loc or iloc instead.
I usually create a dictionary containing a DataFrame for every sheet: Update: In pandas version 0.21.0+ you will get this behavior more cleanly by passing sheet_name=None to read_excel: In 0.20 and prior, this was sheetname rather than sheet_name (this is now deprecated in favor of the above):
It means: Source. The first character specifies the kind of data and the remaining characters specify the number of bytes per item, except for Unicode, where it is interpreted as the number of characters. The item size must correspond to an existing type, or an error will be raised. The supported kinds are to an … Read more
You can get the values as a list by doing: Also you can simply use (as shown in Ed Chum’s answer):
try to use sep=r’\s{2,}’ as separator – it means use as separator two or more spaces or tabs: alternatively you can use read_fwf() method