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y-p
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DOC: docstring fixes
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pandas/core/algorithms.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -214,11 +214,11 @@ def quantile(x, q, interpolation_method='fraction'):
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Parameters
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----------
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a : ndarray
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x : ndarray
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Values from which to extract score.
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q : scalar or array
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Percentile at which to extract score.
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interpolation : {'fraction', 'lower', 'higher'}, optional
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interpolation_method : {'fraction', 'lower', 'higher'}, optional
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This optional parameter specifies the interpolation method to use,
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when the desired quantile lies between two data points `i` and `j`:
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pandas/tools/plotting.py

Lines changed: 12 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -1476,28 +1476,28 @@ def plot_series(series, label=None, kind='line', use_index=True, rot=None,
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kind : {'line', 'bar', 'barh'}
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bar : vertical bar plot
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barh : horizontal bar plot
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rot : int, default 30
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Rotation for tick labels
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use_index : boolean, default True
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Plot index as axis tick labels
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rot : int, default None
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Rotation for tick labels
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xticks : sequence
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Values to use for the xticks
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yticks : sequence
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Values to use for the yticks
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xlim : 2-tuple/list
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ylim : 2-tuple/list
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ax : matplotlib axis object
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If not passed, uses gca()
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style : string, default matplotlib default
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matplotlib line style to use
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ax : matplotlib axis object
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If not passed, uses gca()
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grid : matplot grid
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legend: matplot legende
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logx : boolean, default False
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For line plots, use log scaling on x axis
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logy : boolean, default False
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For line plots, use log scaling on y axis
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xticks : sequence
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Values to use for the xticks
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yticks : sequence
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Values to use for the yticks
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xlim : 2-tuple/list
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ylim : 2-tuple/list
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rot : int, default None
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Rotation for ticks
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secondary_y : boolean or sequence of ints, default False
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If True then y-axis will be on the right
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kwds : keywords
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Options to pass to matplotlib plotting method
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