'background-color: white; color: #000066; font-size: 0.8em;' 'transform: translate(0px, -24px); padding: 0.6em; border- ˓→radius: 0.5em;') [25]: The magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover "avg", "scale" # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = "i4", "f8", "f4" dt = np.dtype({"names": names, "offsets": offsets,

'background-color: white; color: #000066; font-size: 0.8em;' 'transform: translate(0px, -24px); padding: 0.6em; border- ˓→radius: 0.5em;') [25]: The magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover "avg", "scale" # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = "i4", "f8", "f4" dt = np.dtype({"names": names, "offsets": offsets,

'background-color: white; color: #000066; font-size: 0.8em;' 'transform: translate(0px, -24px); padding: 0.6em; border- ˓→radius: 0.5em;') [25]: The magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover "avg", "scale" # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = "i4", "f8", "f4" dt = np.dtype({"names": names, "offsets": offsets,

magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover 'avg', 'scale' # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = 'i4', 'f8', 'f4' dt = np.dtype({'names': names, 'offsets': offsets, float64 >>> s.interpolate() 0 0.0 1 1.0 2 2.0 3 3.0 dtype: float64 Filling in NaN in a Series by padding, but filling at most two consecutive NaN at a time. >>> s = pd.Series([np.nan, "single_one", np

magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover 'avg', 'scale' # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = 'i4', 'f8', 'f4' dt = np.dtype({'names': names, 'offsets': offsets, float64 >>> s.interpolate() 0 0.0 1 1.0 2 2.0 3 3.0 dtype: float64 Filling in NaN in a Series by padding, but filling at most two consecutive NaN at a time. >>> s = pd.Series([np.nan, "single_one", np

magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover 'avg', 'scale' # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = 'i4', 'f8', 'f4' dt = np.dtype({'names': names, 'offsets': offsets, float64 >>> s.interpolate() 0 0.0 1 1.0 2 2.0 3 3.0 dtype: float64 Filling in NaN in a Series by padding, but filling at most two consecutive NaN at a time. >>> s = pd.Series([np.nan, "single_one", np

magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover 'avg', 'scale' # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = 'i4', 'f8', 'f4' dt = np.dtype({'names': names, 'offsets': offsets, 1081 pandas: powerful Python data analysis toolkit, Release 1.0.0 Filling in NaN in a Series by padding, but filling at most two consecutive NaN at a time. >>> s = pd.Series([np.nan, "single_one", np

magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover 'avg', 'scale' # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = 'i4', 'f8', 'f4' dt = np.dtype({'names': names, 'offsets': offsets, float64 >>> s.interpolate() 0 0.0 1 1.0 2 2.0 3 3.0 dtype: float64 Filling in NaN in a Series by padding, but filling at most two consecutive NaN at a time. >>> s = pd.Series([np.nan, "single_one", np

magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover 'avg', 'scale' # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = 'i4', 'f8', 'f4' dt = np.dtype({'names': names, 'offsets': offsets, float64 >>> s.interpolate() 0 0.0 1 1.0 2 2.0 3 3.0 dtype: float64 Filling in NaN in a Series by padding, but filling at most two consecutive NaN at a time. >>> s = pd.Series([np.nan, "single_one", np

'background-color: white; color: #000066; font-size: 0.8em;' 'transform: translate(0px, -24px); padding: 0.6em; border- ˓→radius: 0.5em;') [29]: 766 magnify(): return [dict(selector="th", props=[("font-size", "4pt")]), dict(selector="td", props=[('padding', "0em 0em")]), dict(selector="th:hover", props=[("font-size", "12pt")]), dict(selector="tr:hover "avg", "scale" # note that the offsets are larger than the size of the type because of # struct padding offsets = 0, 8, 16 formats = "i4", "f8", "f4" dt = np.dtype({"names": names, "offsets": offsets,