在python中绘制框图而不对数据进行分组 [英] Plotting box plots in python without grouping the data

问题描述

我想根据存储在另一个数组(one_zero_map)中的1,0映射在数据帧xldata['yaxis_data']中绘制变量的箱形图.

I want to plot a box plot for a variable in a data frame xldata['yaxis_data'] according to 1,0 mapping stored in another array (one_zero_map).

我为此有一个有效的代码，只是不确定这是否是最好的方法.任何帮助将是巨大的.

I have a working code for this I am just not sure if this is the best way. Any help would be great.

我不确定的原因是，如果我直接输入one_zero_map和xldata['yaxis_data']而不创建good_ones和bad_ones，然后将它们放入名为

Reason I am unsure is I am guessing there should be a direct way for boxplot to understand what I want if I input directly one_zero_map and xldata['yaxis_data'] without creating good_ones and bad_ones and then putting them in a list called final_list

%matplotlib inline
import matplotlib.pyplot as plt

good_ones=[val for ind, val in zip(one_zero_map,xldata['yaxis_data']) if  ind==1]
bad_ones=[val for ind, val in zip(one_zero_map,xldata['yaxis_data']) if ind==0]

final_list=[good_ones,bad_ones]

plt.boxplot(final_list)

为了更清楚我要寻找的内容，我正在寻找与 R等效的Python 就是这样

Just to be more clear on what I am looking for, I am looking for Python equivalent of R which is like this

# Boxplot of MPG by Car Cylinders 
boxplot(mpg~cyl,data=mtcars, main="Car Milage Data", 
xlab="Number of Cylinders", ylab="Miles Per Gallon")

或graphlab的phython等价物

or phython equivalent of graphlab as

sales.show(view='BoxWhisker Plot',x='zipcode',y='price')

推荐答案

您可以使用

You can use the boxplot method directly from pandas DataFrames. This code is equivalent to your R example:

# statsmodels only needed to get the R mtcars dataset
import statsmodels.api as sm
mtcars = sm.datasets.get_rdataset('mtcars').data

mtcars.boxplot('mpg', by='cyl')

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