Pandas. Dataframe.plot

Pandas. Dataframe.plot¶

DataFrame. plot ( x=none, y=none, kind= ' line ', ax=none, subplots=false, sharex=none, sharey=false, layout=none, figsize=none, use_index=true Title=none, grid=none, legend=true, style=none, logx=false< /c17>, logy=false, loglog=false, xticks=none, yticks=none, Xlim =none, ylim=none, rot=none, fontsize=none, colormap=none, table=false, yerr=none, xerr=none, secondary_y=false, SORT_COLUMNS=FA LSE, **kwds )¶

Make plots of DataFrame using Matplotlib/pylab.

New in version 0.17.0: Each plot kind have a corresponding method on the dataframe.plot accessor: df.plot (kind= "line") is Equiva Lent to Df.plot.line ().

Parameters:

Data : DataFrame x : label or position, default None y : label or position, default None Allows plotting of one column versus another Kind : str "Line": Line plot (default) ' Bar ': Vertical bar plot ' Barh ': Horizontal bar plot ' hist ': Histogram ' Box ': BoxPlot ' KDE ': Kernel Density estimation plot ' Density ': Same as ' KDE ' ' Area ': Area plot ' Pie ': Pie plot ' Scatter ': scatter plot ' Hexbin ': Hexbin plot ax : Matplotlib axes object, default None subplots : boolean, default False Make separate subplots for each column Sharex : boolean, default True if Ax is None else False In case subplots=true, share x axis and set some x axis labels to invisible; Defaults to True if AX is None otherwise False if a ax is passed in; Be aware, which passing in both an ax and sharex=true would alter all x axis labels for all axis in a figure! Sharey : boolean, default False In case subplots=true, share Y axis and set some Y axis labels to invisible layout : tuple (optional) (Rows, columns) for the layout of subplots figsize : A tuple (width, height) in inches Use_index : boolean, default True Use index as ticks for x axis title : string Title to use for the plot Grid : Boolean, default None (MATLAB style default) Axis grid lines legend : false/true/' reverse ' Place legend on Axis subplots style : List or Dict Matplotlib Line style per column LOGX : boolean, default False Use log scaling on X axis logy : boolean, default False Use log scaling on Y axis Loglog : boolean, default False Use log scaling on both x and Y axes xticks : Sequence Values to use for the Xticks yticks : Sequence Values to use for the Yticks Xlim : 2-tuple/list Ylim : 2-tuple/list rot : int, default None Rotation for ticks (xticks to vertical, yticks for horizontal plots) fontsize : int, default None Font size for Xticks and yticks colormap : str or matplotlib ColorMap object, default None Colormap to select colors from. If string, load ColorMap with the. Name from Matplotlib. Colorbar : boolean, optional If True, Plot colorbar (only relevant for ' scatter ' and ' hexbin ' plots) position : float Specify relative alignments for bar plot layout. from 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center) layout : tuple (optional) (Rows, columns) for the layout of the plot Table : boolean, Series or DataFrame, default False If True, draw a table using the data in the DataFrame and the data is transposed to meet Matplotlib ' s default layout. If a Series or DataFrame is passed, use the passed data to draw a table. yerr : DataFrame, Series, Array-like, Dict and str See plotting with Error Bars for detail. xerr : Same types as Yerr. Stacked : boolean, default False in line and Bar plots, and True in area plot. If True, create stacked plot. sort_columns : boolean, default False Sort column names to determine plot ordering secondary_y : boolean or sequence, default False Whether to plot on the secondary y-axis If a list/tuple, which columns to plot on secondary y-axis mark_right : boolean, default True When using a secondary_y axis, automatically mark the column labels with "[Right]" in the legend kwds : Keywords Options to pass to Matplotlib plotting method

Returns:

axes : matplotlib. Axessubplot or Np.array of them

Notes

• See matplotlib documentation online for more on this subject
• If Kind = ' bar ' or ' Barh ', you can specify relative alignments for bar plot layout by position keyword. from 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)
• If Kind = ' scatter ' and the argument C is the name of a dataframe column, the values of Used to color.
• If Kind = ' hexbin ', you can control the size of the bins with the gridsize argument. By default, a histogram of the counts around all (x, y) point is computed. You can specify alternative aggregations by passing values to the C and reduce_c_function arguments. C Specifies the value at all (x, y) Point and reduce_c_function is a function of one argument That reduces all the values of a bin to a single number (e.g. mean, Max, sum, std) .

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Pandas. Dataframe.plot