熊猫数据框架绘图 - 列值作为索引

Question

I want to plot multiple data using data from a column as series.

For example, my raw data:

Date,       SomeName,   SomeData
2015-1-1,   Vancouver,  1.1
2015-1-2,   NYC,        1.2
2015-1-3,   Seattle,    2.1
2015-1-4,   Vancouver,  0.9
2015-1-5,   Seattle,    1.1
2015-1-2,   NYC,        2.1

If I were to use Excel, with Pivot Chart, I would choose 'Date' to be X-axis, 'SomeName' to be Series(Legend), and 'SomeData' to be 'Values'.

But how do I do something similar with Pandas.plot module?

Answer 1

Short answer: the easiest way is to try seaborn, which is a wrapper on matplotlib (as is the pandas plotting function).

You'll have to install it with pip install seaborn or conda install seaborn , and then you can do:

import seaborn as sns

sns.factorplot(x='Date', y='SomeData', hue='SomeName', data=df)

Answer 2

You do exactly the same as you would do in Excel, except that pivot chart is explicitly a pivot table you subsequently plot:

df.pivot_table('SomeData', 'Date', 'SomeName').plot.bar()