Awesome Work! Thank you for creating such an amazing tutorial.
Just one note though, in your Beyond This Tutorial -> Code Documentation
You might want to change the help(plt) -> help(plt.plot) as we have imported
the matplotlib.pyplot as plt so inorder to run the help command for it's functions
help(plt.) would lead to the correct result.
Thank you
#-----------------------------------------------------------
Code documentation
The code is fairly well documented and you can quickly access a specific command from within a python session:
import matplotlib.pyplot as plt
help(plt.plot)
Help on function plot in module matplotlib.pyplot:
plot(*args, **kwargs)
Plot lines and/or markers to the
:class:~matplotlib.axes.Axes. args is a variable length
argument, allowing for multiple x, y pairs with an
optional format string. For example, each of the following is
legal::
plot(x, y) # plot x and y using default line style and color
plot(x, y, 'bo') # plot x and y using blue circle markers
plot(y) # plot y using x as index array 0..N-1
plot(y, 'r+') # ditto, but with red plusses
If x and/or y is 2-dimensional, then the corresponding columns
will be plotted.
...
#----------------------------------------------------------
Awesome Work! Thank you for creating such an amazing tutorial.
Just one note though, in your Beyond This Tutorial -> Code Documentation
You might want to change the help(plt) -> help(plt.plot) as we have imported
the matplotlib.pyplot as plt so inorder to run the help command for it's functions
help(plt.) would lead to the correct result.
Thank you
#-----------------------------------------------------------
Code documentation
The code is fairly well documented and you can quickly access a specific command from within a python session:
plot(*args, **kwargs)
Plot lines and/or markers to the
:class:
~matplotlib.axes.Axes. args is a variable lengthargument, allowing for multiple x, y pairs with an
optional format string. For example, each of the following is
legal::
If x and/or y is 2-dimensional, then the corresponding columns
will be plotted.
...
#----------------------------------------------------------