Parameters:

• data: Series or DataFrame – The object for which the method is called.

• x: label or position, default None – Only used if data is a DataFrame.

• y: label, position or list of label, positions, default None – Allows plotting of one column versus another. Only used if data is a DataFrame.

• kind: str – The kind of plot to produce:

   

   

   

  • ‘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 (DataFrame only)

  • ‘hexbin’ : hexbin plot (DataFrame only)

   

• ax: matplotlib axes object, default None – An axes of the current figure.]

• subplots: bool or sequence of iterables, default False.

  Whether to group columns into subplots:

  • False : No subplots will be used

  • True : Make separate subplots for each column.

  • sequence of iterables of column labels: Create a subplot for each group of columns. For example [(‘a’, ‘c’), (‘b’, ‘d’)] will create 2 subplots: one with columns ‘a’ and ‘c’, and one with columns ‘b’ and ‘d’. Remaining columns that aren’t specified will be plotted in additional subplots (one per column). .. versionadded:: 1.5.0

   

• sharex : bool, 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 an ax is passed in; Be aware, that passing in both an ax and sharex=True will alter all x axis labels for all axis in a figure.

• sharey: bool, 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 – Size of a figure object.

• use_index: bool, default True – Use index as ticks for x axis.

• title: str or list – Title to use for the plot. If a string is passed, print the string at the top of the figure. If a list is passed and subplots is True, print each item in the list above the corresponding subplot.

• grid: bool, default None (matlab style default) – Axis grid lines.

• legend: bool or {‘reverse’} – Place legend on axis subplots.

• style: list or dict – The matplotlib line style per column.

• logx: bool or ‘sym’, default False – Use log scaling or symlog scaling on x axis. .. versionchanged:: 0.25.0

• logy: bool or ‘sym’ default False – Use log scaling or symlog scaling on y axis. .. versionchanged:: 0.25.0

• loglog: bool or ‘sym’, default False – Use log scaling or symlog scaling on both x and y axes. .. versionchanged:: 0.25.0

• xticks: sequence – Values to use for the sticks.

• yticks: sequence – Values to use for the yticks.

• xlim2-tuple/list – Set the x limits of the current axes.

• ylim2-tuple/list – Set the y limits of the current axes.

• xlabel: label, optional – Name to use for the xlabel on x-axis. Default uses index name as xlabel, or the x-column name for planar plots.

• ylabel: label, optional – Name to use for the ylabel on y-axis. Default will show no ylabel, or the y-column name for planar plots.

• rot: int, default None – Rotation for ticks (xticks for 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 that name from matplotlib.
• colorbar: bool, 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).
• table: bool, Series or DataFrame, default False – If True, draw a table using the data in the DataFrame and the data will be transposed to meet matplotlib’s default layout. If a Series or DataFrame is passed, use passed data to draw a table.
• yerr: DataFrame, Series, array-like, dict and str – See Plotting with Error Bars for detail.
• xerr: DataFrame, Series, array-like, dict and str – Equivalent to yerr.
• stacked: bool, default False  – in line and bar plots, and True in area plot

  If True, create stacked plot.

• secondary_y: bool 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: bool, default True – When using a secondary_y axis, automatically mark the column labels with “(right)” in the legend.

• include_bool: bool, default is False – If True, boolean values can be plotted.

• backend: str, default None – Backend to use instead of the backend specified in the option plotting.backend. For instance, ‘matplotlib’. Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting.backend.

• **kwargs – Options to pass to matplotlib plotting method.