Metadata-Version: 2.1
Name: nickstoolbox
Version: 0.2
Summary: Package for useful frequent functions
Home-page: https://github.com/nicolasshu/nickstoolbox
Author: Nicolas Shu
Author-email: nicolas.s.shu@gmail.com
License: UNKNOWN
Description: # NicksToolbox
        This is my package. 
        
        In order to install it, run
        ```bash
        $ pip install nickstoolbox
        $ python 
        >>> import nickstoolbox as ns 
        ```
        
        ## Functions and Classes
        
        ### ns.HowsMyMemory()
        Prints the current time, and how much memory is being used 
        
        ### ns.EndCode()
        Prints that the code ended along with the timestamp in which it ended 
        
        
        ### ns.Scatter(x,y,z,c='b',marker='o',depthshade=True,xlabel='',ylabel='',zlabel=''):
        
        ### ns.ViewAvailableFonts():
        Prints the available fonts for Matplotlib 
        
        ### ns.ScatterWithHist(x, y, scatterstyle='bo', bin_no = None, cx = 'red', cy = 'cyan',alphaVal=0.5):
        This plots your xy plots but also puts in the histogram distribution of the x values on the x-axis and the histogram distribution of the y values on the y-axis.
        This was originally suggested by Dr. Gari Clifford as a sanity check to make sure that your data was properly distributed.
        
        ### ns.ActivateLatex():
        
        ### ns.SetTicks(size=20):
        
        ### ns.FlattenList(input_list):
        
        ### ns.flatten(input_list):
        
        ### ns.DrawBoundary(x,y):
        
        ### class SendEmail():
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.3
Description-Content-Type: text/markdown
