===== Task =====
The idea here is to reset index such that they are all integers from 0 to N.

===== Solution =====
Two possible approaches:

==== Use reset_index() ====

To not modify the original df but assign the result to a new variable
<code>
df_new = df.reset_index(drop=True)
</code>

To do it in place
<code>
df.reset_index(drop=True, inplace=True)
</code>

Sample code: https://github.com/KamarajuKusumanchi/notebooks/blob/master/pandas/set%20index%20from%200%20to%20N%20using%20reset_index.ipynb

==== use reindex to directly change the index ====

<code>
df.index = np.arange(len(df))
</code>

Sample code: https://github.com/KamarajuKusumanchi/notebooks/blob/master/pandas/reindex%20from%200%20to%20N.ipynb

tags | reindex from 0 to N, range, uses np.arange


==== tags ====
set index from 0 to N

==== See also ====
  * https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.reset_index.html
  * https://stackoverflow.com/questions/20490274/how-to-reset-index-in-a-pandas-dataframe
  * https://stackoverflow.com/questions/32249960/in-python-pandas-start-row-index-from-1-instead-of-zero-without-creating-additi