单变量类别散点图 pandas [英] Single variable category scatter plot pandas

问题描述

是否可以将单个值绘制为散点图? 通过使用带有标记的ccdfs，我可以很好地将其绘制出来，但是我想知道是否有其他选择可用?

Is It possible to plot single value as scatter plot? I can very well plot it in line by getting the ccdfs with markers but I want to know if any alternative is available?

输入:

输入1

tweetcricscore 51 high active

输入2

tweetcricscore 46 event based
tweetcricscore 12 event based
tweetcricscore 46 event based

输入3

tweetcricscore 1 viewers 
tweetcricscore 178 viewers

输入4

tweetcricscore 46 situational
tweetcricscore 23 situational
tweetcricscore 1 situational
tweetcricscore 8 situational
tweetcricscore 56 situational

我可以使用x和y值用bokeh和pandas编写散点图代码.但是如果是单个值?

I can very much write scatter plot code with bokeh and pandas using x and y values. But in case of single value ?

将所有输入合并为一个输入并按col[3]分组时，值将为col[2].

When all the inputs are merged as one input and are to be grouped by col[3], values are col[2].

下面的代码用于包含2个变量的数据集

import numpy as np
import matplotlib.pyplot as plt
from pylab import*
import math
from matplotlib.ticker import LogLocator
import pandas as pd
from bokeh.charts import Scatter, output_file, show

df = pd.read_csv('input.csv', header = None)

df.columns = ['col1','col2','col3','col4']

scatter = Scatter( df, x='col2', y='col3', color='col4', marker='col4', title='plot', legend=True)

output_file('output.html', title='output')

show(scatter)

样本输出

推荐答案

更新:

查看散景和 Seaborn 画廊-它可以帮助您了解哪种情节适合您的需求

look at Bokeh and Seaborn galleries - it might help you to understand what kind of plot fits your needs

您可以尝试像这样的violinplot:

you may try violinplot like this:

sns.violinplot(x="category", y="val", data=df)

或HeatMaps:

import numpy as np
import pandas as pd
from bokeh.charts import HeatMap, output_file, show

cats = ['active', 'based', 'viewers', 'situational']
df = pd.DataFrame({'val': np.random.randint(1,100, 1000), 'category': np.random.choice(cats, 1000)})

hm = HeatMap(df)
output_file('d:/temp/heatmap.html')
show(hm)

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