In [34]: df = pd.DataFrame(np.random.randint(0,1,(60000, 10000)))

In [35]: df.shape
Out[35]: (60000, 10000)

In [36]: df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 60000 entries, 0 to 59999
Columns: 10000 entries, 0 to 9999
dtypes: int32(10000)
memory usage: 2.2 GB

In [39]: df_int8 = df.astype(np.int8)

In [40]: df_int8.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 60000 entries, 0 to 59999
Columns: 10000 entries, 0 to 9999
dtypes: int8(10000)
memory usage: 572.2 MB

In [41]: df_bool = df.astype(np.bool)

In [42]: df_bool.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 60000 entries, 0 to 59999
Columns: 10000 entries, 0 to 9999
dtypes: bool(10000)
memory usage: 572.2 MB