<p dir="auto">I'm trying to remove the duplicates contained in this following text file:<br>
<a href="https://www.dropbox.com/s/mx3zqot352gdrhq/hg19.txt?dl=0" rel="nofollow">https://www.dropbox.com/s/mx3zqot352gdrhq/hg19.txt?dl=0</a><br>
After reading this into a dataframe, and calling drop_duplicates, the dataframe still has the same number of rows. Though clearly, there are many duplicates contained in the file.</p>
<p dir="auto">I am using a Mac with 8 gigs of RAM. I'm not sure why this is occurring.</p>
<p dir="auto">Hello<br>
I would like to contribute to pandas codebase as I've (hopefully) had some expectedly nice features  ideas for it, but it is not easy to start;)<br>
I am stuck at the time I have to compile my own pandas as Visual Studio 2017 refuses to install on my machine because of Net Framework 4.6.<br>
It is unfortunate that MS assistance can't help here (their forums mark these topics as duplicate and send back to topics which have not been solved. Genius), so I tried to find some alternative<br>
in Code::Blocks <a href="http://www.codeblocks.org/" rel="nofollow">http://www.codeblocks.org/</a><br>
Some compilers provided with the default Code::Blocks installation are GNU GCC (MinGW/Cygwin), MS Visual C++ Free Toolkit 2003, Borland's C++ Compiler 5.5, DigitalMars Free Compiler., OpenWatcom, Small Device C Compiler (SDCC) and others.<br>
Would it be fitting for working with Python and Pandas codebase?</p>
<p dir="auto">What are alternative solutions?<br>
I really want to contribute, but being stuck on the first steps is pitiful (but doesn't reflect my coding ability, I hope:)).</p>
<p dir="auto">Do you know if there is a lighter /friendlier user contribution roadmap?<br>
The document <a href="https://github.com/pandas-dev/pandas/blob/master/doc/source/contributing.rst#working-with-the-code">https://github.com/pandas-dev/pandas/blob/master/doc/source/contributing.rst#working-with-the-code</a> is very complete but quite harsh to approach.<br>
It is not very clear what should be installed from the start (I read about cpplint, clang, flake8, asv and pytest but I wonder why they don't come as an addition to pandas dependencies so you really create an environment with the complete tools).</p>
<p dir="auto">Thanks by advance</p>