Pandas.plot 做图

Series

Series.plot(kind=’line’, ax=None, figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False, xticks=None, yticks=None, xlim=None, ylim=None, rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds)
参数：

参数	描述
data	Series
kind	str:”line”,”bar”,”barh”,”hist”,”box”,”kde”,”density”,”area”,”pie”
ax	matplotlib axes 对象，默认使用gca()
figsize	tuple(宽度，高度),单位是英寸
use_index	boolean,默认为True，使用索引作为刻度标签
title	string or list,传入str直接在figure上打印，传入list则会打印在subplot上
grid	boolean，默认为None，使用matlab样式
legend	False/True/”reverse”
style	list or dict,matplotlib line style per column
logx	boolean,默认False，x轴使用log刻度
logy	boolean,默认False,y轴使用log刻度
xticks	sequence,x轴刻度标签
yticks	sequence,y轴刻度标签
xlim	2-tuple/list
ylim	2-tuple/list
rot	int 默认为None，改变刻度标签的旋转度
fontsize	int 默认为None，设置刻度标签的大小
colormap	str or matplotlib colromap对象 默认为None
colorbar	boolean,optional，如果为True绘制colorbar(只有在scatter和hexbin中起作用)
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 默认为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
lable	label argument to provide to plot
secondary_y	boolean or sequence of ints, default False
mark_right	boolean, default True
kwds	keywords,Options to pass to matplotlib plotting method

DataFrame

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, 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=False, **kwds)

参数	描述
data	DataFrame
x	label or position, default None
y	label or position, default None
kind	str:‘scatter’,‘hexbin’
subplots	boolean, default False,为每一列单独画一个子图
sharex	boolean, default True if ax is None else False
sharey	boolean, default False
loglog	boolean, default False，x轴/y轴同时使用log刻度

tips:
可以先用plt.figure()新建一个画板，然后再用pandas里面的做图命令，这样就可以修改pandas的图。