python - 词汇散布图是seaborn

Question

我正在使用 seaborn 模块生成类似于以下示例的绘图。

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
location = "/global/scratch/umalmonj/WRF/juris/golden_hourly_manual_obs.csv"

df = pd.read_csv(location,usecols= ["Year","Month","Day","Time","Weather"],parse_dates=[["Year","Month","Day","Time"]])

我有一个 df 看起来像:

     Year_Month_Day_Time        Weather
0    2010-01-01 00:00:00            NaN
1    2010-01-01 01:00:00            NaN
2    2010-01-01 02:00:00            NaN
..    
7    2010-01-01 07:00:00           Snow
8    2010-01-01 08:00:00           Snow
9    2010-01-01 09:00:00   Snow Showers
..
18   2010-01-01 18:00:00            NaN
19   2010-01-01 19:00:00            NaN
20   2010-01-01 20:00:00            NaN
...                  ...            ...
2861 2010-04-30 05:00:00   Mainly Clear
2862 2010-04-30 06:00:00   Mainly Clear
2863 2010-04-30 07:00:00  Mostly Cloudy

我想创建一个具有不同天气类别的 seaborn strip 图，类似于以下图。

也称为词汇散布图。

任何帮助都会很棒!

可以在此处找到我的 csv 格式示例数据集 https://www.dropbox.com/s/ulzz5x3rsl2yjd5/sample_data.csv?dl=0

Answer 1

你必须使用stripplot。首先，您必须正确读取数据的日期时间列，然后绘制它:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# datetime parser
dateparse = lambda x: pd.datetime.strptime(x, '%y/%m/%d %H:%M')
df = pd.read_csv('./sample_data.csv',parse_dates=['DateTime'], date_parser=dateparse)

# set size of figure
plt.figure(figsize=(22,6))
# use horizontal stripplot with x marker size of 5
sns.stripplot(y='Weather',x='DateTime', data=df,
 orient='h', marker='X', color='navy', size=5)
# rotate x tick labels
plt.xticks(rotation=15)
# remover borders of plot
plt.tight_layout()
plt.show()

图是可点击的