pandas 绘制多个类别线 [英] Pandas plot multiple category lines

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本文介绍了 pandas 绘制多个类别线的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

说我有以下数据...

Say I have the following data...

date      Score  category                 
2017-01-01   50.0         1
2017-01-01  590.0         2
2017-01-02   30.0         1
2017-01-02  210.4         2
2017-01-03   11.0         1
2017-01-03   50.3         2

因此,我每天都有多个类别,每个类别都有一个分数.到目前为止,这是我的代码...

So on a daily basis, I have multiple categories, each being assigned a score. Here's my code so far...

vals = [{'date': '2017-01-01', 'category': 1, 'Score': 50},
         {'date': '2017-01-01', 'category': 2, 'Score': 590},
         {'date': '2017-01-02', 'category': 1, 'Score': 30},
         {'date': '2017-01-02', 'category': 2, 'Score': 210.4},
         {'date': '2017-01-03', 'category': 1, 'Score': 11},
         {'date': '2017-01-03', 'category': 2, 'Score': 50.3}]
df = pd.DataFrame(vals)
df.date = pd.to_datetime(df['date'], format='%Y-%m-%d')
df.set_index(['date'],inplace=True)

这将导致如下所示的奇异图.

Which results in a bizarre plot as below.

我想要多行,每个类别一行,以及 X 轴上的日期 - 我该怎么做?

I'd like to have multiple lines, one for each category, and the date on the X-axis - how would I do this?

推荐答案

可以使用 groupby 和 plot

You can use groupby and plot

fig, ax = plt.subplots()
for label, grp in df.groupby('category'):
    grp.plot(x = grp.index, y = 'Score',ax = ax, label = label)

这篇关于 pandas 绘制多个类别线的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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