Consider splitting out taxcalc features about microdf

[MaxGhenis]

Interesting, thanks @hdoupe. Based on this and some more poking around the code, looks like this is how pandas treats fastparquet:

• Include as a dep in environment.yml
• Don't include in setup.py
• Use an import_optional_dependency function in pandas.compat._optional, which is used elsewhere internally (this also specifies the minimum version for optional deps)
• Call import_optional_dependency in to_parquet and read_parquet in parquet.py (through a couple intermediate steps)
• In test_parquet.py, check if it's installed with a try statement and skip tests if it isn't

I'll mirror this approach.

[hdoupe]

Pandas handles its optional/soft fastparquet dependency like this:

In [1]: import pandas as pd                                                                                                                                                                   

In [2]: df = pd.read_parquet("matchups/statcast2018.parquet", engine="fastparquet")                                                                                                           
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-2-284dbcb9c5fc> in <module>
----> 1 df = pd.read_parquet("matchups/statcast2018.parquet", engine="fastparquet")

~/miniconda3/lib/python3.7/site-packages/pandas/io/parquet.py in read_parquet(path, engine, columns, **kwargs)
    293     """
    294 
--> 295     impl = get_engine(engine)
    296     return impl.read(path, columns=columns, **kwargs)

~/miniconda3/lib/python3.7/site-packages/pandas/io/parquet.py in get_engine(engine)
     42         return PyArrowImpl()
     43     elif engine == "fastparquet":
---> 44         return FastParquetImpl()
     45 
     46 

~/miniconda3/lib/python3.7/site-packages/pandas/io/parquet.py in __init__(self)
    139         # we need to import on first use
    140         fastparquet = import_optional_dependency(
--> 141             "fastparquet", extra="fastparquet is required for parquet support."
    142         )
    143         self.api = fastparquet

~/miniconda3/lib/python3.7/site-packages/pandas/compat/_optional.py in import_optional_dependency(name, extra, raise_on_missing, on_version)
     91     except ImportError:
     92         if raise_on_missing:
---> 93             raise ImportError(message.format(name=name, extra=extra)) from None
     94         else:
     95             return None

ImportError: Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.

In [3]:                                                                                                                                                                                       

If you wanted to do something like this, then you could add a note to the install instructions telling people that taxcalc should be installed separately.

One thing to note is that Pandas can still read parquet files without other packages like fastpaquet being installed.

[MaxGhenis]

For completeness, here's the current error when importing microdf without having taxcalc installed:

import microdf
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-2-15236528f5d7> in <module>()
----> 1 import microdf

1 frames
/usr/local/lib/python3.6/dist-packages/microdf/taxcalc.py in <module>()
      1 import microdf as mdf
----> 2 import taxcalc as tc
      3 
      4 
      5 def static_baseline_calc(recs, year):

ModuleNotFoundError: No module named 'taxcalc'

[MaxGhenis]

Importing microdf now works when taxcalc isn't installed.

[MaxGhenis]

Thanks again, @hdoupe for the guidance here!