code stringlengths 3 6.57k |
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enumerate(mat) |
enumerate(mat) |
valid.sum() |
valid.all() |
corrf(ac[valid], bc[valid]) |
corrf(ac, bc) |
self._constructor(correl, index=cols, columns=cols) |
cov(self, min_periods=None) |
self._get_numeric_data() |
notnull(mat) |
all() |
len(mat) |
np.empty((mat.shape[1], mat.shape[1]) |
baseCov.fill(np.nan) |
np.cov(mat.T) |
baseCov.reshape((len(cols) |
len(cols) |
_algos.nancorr(com._ensure_float64(mat) |
self._constructor(baseCov, index=cols, columns=cols) |
corrwith(self, other, axis=0, drop=False) |
self._get_axis_number(axis) |
isinstance(other, Series) |
self.apply(other.corr, axis=axis) |
self._get_numeric_data() |
other._get_numeric_data() |
this.align(other, join='inner', copy=False) |
left.mean() |
right.mean() |
sum() |
left.count() |
left.std() |
right.std() |
this._get_axis(raxis) |
union(other._get_axis(raxis) |
correl.reindex(result_index) |
count(self, axis=0, level=None, numeric_only=False) |
well (detects NaN and None) |
MultiIndex (hierarchical) |
Series (or DataFrame if level specified) |
self._get_axis_number(axis) |
self._get_numeric_data() |
len(frame._get_axis(axis) |
Series(0, index=frame._get_agg_axis(axis) |
notnull(frame) |
sum(axis=axis) |
notnull(frame.values) |
sum(axis=axis) |
Series(counts, index=frame._get_agg_axis(axis) |
result.astype('int64') |
_count_level(self, level, axis=0, numeric_only=False) |
self._get_numeric_data() |
frame._get_axis(axis) |
frame._get_agg_axis(axis) |
isinstance(count_axis, MultiIndex) |
self._get_axis_name(axis) |
notnull(frame.values) |
notnull(frame) |
notnull(frame.values) |
isinstance(level, compat.string_types) |
count_axis._get_level_number(level) |
com._ensure_int64(count_axis.labels[level]) |
lib.count_level_2d(mask, labels, len(level_index) |
self._get_axis_number(axis) |
op(x, axis=axis, skipna=skipna, **kwds) |
self._get_agg_axis(axis) |
f(values) |
self.apply(f,reduce=False) |
self._get_numeric_data() |
self._get_bool_data() |
raise_with_traceback(e) |
f(data.values) |
data._get_agg_axis(axis) |
self._get_numeric_data() |
self._get_bool_data() |
NotImplementedError(msg) |
data._get_agg_axis(axis) |
f(values) |
is_object_dtype(result.dtype) |
result.astype(np.float64) |
notnull(result) |
all() |
result.astype(np.bool_) |
except (ValueError, TypeError) |
com._coerce_to_dtypes(result, self.dtypes) |
Series(result, index=labels) |
idxmin(self, axis=0, skipna=True) |
self._get_axis_number(axis) |
nanops.nanargmin(self.values, axis=axis, skipna=skipna) |
self._get_axis(axis) |
Series(result, index=self._get_agg_axis(axis) |
idxmax(self, axis=0, skipna=True) |
self._get_axis_number(axis) |
nanops.nanargmax(self.values, axis=axis, skipna=skipna) |
self._get_axis(axis) |
Series(result, index=self._get_agg_axis(axis) |
_get_agg_axis(self, axis_num) |
ValueError('Axis must be 0 or 1 (got %r) |
mode(self, axis=0, numeric_only=False) |
mode(s) |
axis (when more than one item share the maximum frequency) |
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