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Python Pandas: drop rows of a timeserie based on time range
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Here is some code to drop the rows in pandas timeseries `df` from the row containing index `start_remove` to the row containing index `end_remove`

df.loc[(df.index < start_remove) | (df.index > end_remove)]

#Warning: this code generation is experimental. Please inspect the code for any bugs before executing.