boxplots using matplotlib of a dataset

Question

Newbie to matplotlibs/boxplots. I have a dataset in a spreadsheet in two columns something similar to below

type [1, 0, 1, 1, 0, 0, 0, 1, 0, 0]

value [230, 300, 342, 218, 393, 273, 333, 317, 287, 291]

I want to group the values of 0 types and 1 types and boxplot the three data sets (original set, 0s and 1s) in a single frame.

I have tried a few different things but none has worked:

x = inData['value']
grouped = inData.groupby(["type"])
out0, out1 = [grouped.get_group(value) for value in grouped.groups]

fig1, ax1 = plt.subplots()
ax1.set_title('Box Plot')
data = [out0, value, out1[::2]]
ax1.boxplot(data)

plt.show()

Boxplot has to be constructed using python/matplotlibs

Any help is appreciated.

Answer 1

import numpy as np
import matplotlib.pyplot as plt


# fake up some data
spread = np.random.rand(50) * 100
center = np.ones(25) * 50
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
data = np.concatenate((spread, center, flier_high, flier_low))

fig1, ax1 = plt.subplots()
ax1.set_title('Basic Plot')
ax1.boxplot(data)