小编How*_*ude的帖子

我无法从ggplot2切换到seaborn.目前使用的是Anaconda v.4.5.8和Python 3.6.3

我找不到任何图表.例如,我可以从seaborn的网站上获取任何代码并运行:

import matplotlib as plt
import seaborn as sns
sns.set(style="ticks")

dots = sns.load_dataset("dots")

# Define a palette to ensure that colors will be
# shared across the facets
palette = dict(zip(dots.coherence.unique(),
                   sns.color_palette("rocket_r", 6)))

# Plot the lines on two facets
sns.relplot(x="time", y="firing_rate",
            hue="coherence", size="choice", col="align",
            size_order=["T1", "T2"], palette=palette,
            height=5, aspect=.75, facet_kws=dict(sharex=False),
            kind="line", legend="full", data=dots)
sns.plt.show() #this was not on site code but tried it(plt.show() as referenced by other posts)

错误信息:

  File "<ipython-input-8-893759310442>", line 13, in <module>
    sns.relplot(x="time", …

我需要以两种方式转动/重塑长格式数据:1)添加日期列(End-of_month)并填写数值(总计)2)添加日期列(End-of_month)并填写日期值(日期)在前一个支点中达到'总'值的月份)

我可以做1:

data = pd.DataFrame({'date': ['1-12-2016', '1-23-2016', '2-23-2016', '2-1-2016', '3-4-2016'],
        'EOM': ['1-31-2016', '1-31-2016', '2-28-2016', '2-28-2016', '3-31-2016'],
        'country':['uk', 'usa', 'fr','fr','uk'],
        'tr_code': [10, 21, 20, 10,12],
        'TOTAL': [435, 367,891,1234,231]
        })

data['EOM'] = pd.to_datetime(data['EOM'])
data['date'] = pd.to_datetime(data['date'])


data_total = data.pivot_table(values='TOTAL', index=['country','tr_code'], columns='EOM')

Out[73]: 
EOM              2016-01-31  2016-02-28  2016-03-31
country tr_code                                    
fr      10              NaN      1234.0         NaN
        20              NaN       891.0         NaN
uk      10            435.0         NaN         NaN
        12              NaN         NaN       231.0
usa     21            367.0         NaN         NaN

但是,尝试使用'date'更改value参数会产生:DataError:无需聚合的数字类型

我基本上想要两个df - 我完成的那个,以及相同格式的另一个,但不是'TOTAL'值而是完成总计的'date'.

任何帮助是极大的赞赏.