arr = np.arange(5).astype("c8")
ser = pd.Series(arr)
val = np.finfo(np.float64).max
val = val.astype("c16")
>>> val
(1.7976931348623157e+308+0j)
ser[0] = val
>>> ser
0 inf+0.000000e+00j
1 1.000000e+00+0.000000e+00j
2 2.000000e+00+0.000000e+00j
3 3.000000e+00+0.000000e+00j
4 4.000000e+00+0.000000e+00j
dtype: complex64
For IntBlock we check the itemsize to avoid overflows, but for FloatBlock and ComplexBlock we do not, so we get the inf
here. Should we instead be upcasting?
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4