转自：https://blog.csdn.net/claroja/article/details/73872066?utm_source=debugrun&utm_medium=referral
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。