From fcf3792794daf95fec000f06a3f511025aa22703 Mon Sep 17 00:00:00 2001 From: jbrockmendel Date: Sat, 14 Oct 2017 16:44:51 -0700 Subject: [PATCH] flake8 cleanup (#17873) --- pandas/_libs/tslibs/fields.pyx | 104 ++++++++++++++++++++++++--------- 1 file changed, 77 insertions(+), 27 deletions(-) diff --git a/pandas/_libs/tslibs/fields.pyx b/pandas/_libs/tslibs/fields.pyx index 3ea414b2d4a701..1427bf50239ba3 100644 --- a/pandas/_libs/tslibs/fields.pyx +++ b/pandas/_libs/tslibs/fields.pyx @@ -160,7 +160,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, if field == 'is_month_start': if is_business: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -172,7 +174,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, return out.view(bool) else: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -185,7 +189,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, elif field == 'is_month_end': if is_business: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -202,7 +208,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, return out.view(bool) else: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -219,7 +227,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, elif field == 'is_quarter_start': if is_business: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -232,7 +242,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, return out.view(bool) else: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -245,7 +257,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, elif field == 'is_quarter_end': if is_business: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -263,7 +277,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, return out.view(bool) else: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -280,7 +296,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, elif field == 'is_year_start': if is_business: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -293,7 +311,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, return out.view(bool) else: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -306,7 +326,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, elif field == 'is_year_end': if is_business: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -324,7 +346,9 @@ def get_start_end_field(ndarray[int64_t] dtindex, object field, return out.view(bool) else: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = 0; continue + if dtindex[i] == NPY_NAT: + out[i] = 0 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -367,7 +391,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): if field == 'Y': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -377,7 +403,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'M': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -387,7 +415,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'D': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -397,7 +427,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'h': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -407,7 +439,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'm': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -417,7 +451,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 's': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -427,7 +463,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'us': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -437,7 +475,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'ns': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -446,7 +486,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'doy': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -457,7 +499,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'dow': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -467,7 +511,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'woy': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -477,7 +523,7 @@ def get_date_field(ndarray[int64_t] dtindex, object field): doy = mo_off + dts.day dow = dayofweek(dts.year, dts.month, dts.day) - #estimate + # estimate woy = (doy - 1) - dow + 3 if woy >= 0: woy = woy / 7 + 1 @@ -498,7 +544,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'q': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -509,7 +557,9 @@ def get_date_field(ndarray[int64_t] dtindex, object field): elif field == 'dim': with nogil: for i in range(count): - if dtindex[i] == NPY_NAT: out[i] = -1; continue + if dtindex[i] == NPY_NAT: + out[i] = -1 + continue pandas_datetime_to_datetimestruct( dtindex[i], PANDAS_FR_ns, &dts) @@ -522,7 +572,7 @@ def get_date_field(ndarray[int64_t] dtindex, object field): cdef inline int days_in_month(pandas_datetimestruct dts) nogil: - return days_per_month_table[is_leapyear(dts.year)][dts.month -1] + return days_per_month_table[is_leapyear(dts.year)][dts.month - 1] cpdef isleapyear_arr(ndarray years):