Using Python for data analysis--histogram

DataFrame.hist(Data, Column=none, By=none, grid=true, Xlabelsize=none, Xrot=none, Ylabelsize=none, Yrot=none,Ax=none, Sharex=false, Sharey=false, Figsize=none, Layout=none, bins=10, **kwds)

Data : DataFrame

column : string or sequence strings or sequences

by: object, optional

If passed, then used to form histograms (histogram) for separate groups

Grid : Boolean, default True grid line, defaults to use

xlabelsize : int, default None

If specified changes the x-axis label size

Xrot : float, default None

Rotation of X axis labels

ylabelsize : int, default None

If specified changes the y-axis label size

Yrot : float, default None

Rotation of Y axis labels

ax : Axis object, default is empty

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 subplots in a figure!

Sharey : boolean, default False

In case subplots=true, share Y axis and set some Y axis labels to invisible

figsize : Tuple

The size of the figure to create in inches by default

layout : tuple, optional

Tuple of (rows, columns) for the layout of the histograms

Bins : integer, default 10

Histogram (bar chart) Number of bins, default is 10

Kwds : Other plotting keyword arguments

To is passed to hist function

Using Python for data analysis--histogram