Merge branch 'master' of https://github.com/Dfenestrator/GooPyCharts

README.md

@@ -31,6 +31,7 @@ For timeseries, use as your x-axis the following format (as a string): 'yyyy-mm-
 - automatic datetime/string/numeric detection on x-axis input (a huge pain point in both MATLAB and matplotlib)
 - Easy webpage integration (just copy and paste the HTML/Javascript from the output HTML file)
 - Jupyter notebook integration (use plot_nb, scatter_nb, bar_nb, and hist_nb for plots in notebooks)
+Note: There is an existing issue where the first plot does not always work in Jupyter because the Google library is not loading properly. If you have issues with this, re-run your code or run the non-notebook version once ("plot" instead of "plot_nb") to load the library. Everything should work in your session after that.
 
 ## Some Rules
 - Headers are column titles. The dependent variable header will be the title of the x axis, and the other headers will appear in the legend.

compareToMatplotlib.md

@@ -10,5 +10,6 @@
 - Works without numpy - just uses Python lists
 
 ## Disadvantages
-- Limited features. Matplotlib has a lot more features and is overall more powerful
+- Limited features. Matplotlib has a lot more features and is overall much more powerful
 - Dynamic graph resizing
+- Performance - Matplotlib handles large amounts of data better