使用Pandas DataSeries在Jupyter中工作我有一个包含如下行的数据集:
color: white
engineType: diesel
make: Ford
manufacturingYear: 2004
accidentCount: 123
我需要做的是绘制颜色/ engineType / make的所有排列的制造年份(x轴)的事故计数图表(y轴)。任何想法如何处理这个?
为了加快速度,我有了这个初始设置:
import numpy as np
import pandas as pd
from pandas import DataFrame, Series
import random
colors = ['white', 'black','silver']
engineTypes = ['diesel', 'petrol']
makes = ['ford', 'mazda', 'subaru']
years = range(2000,2005)
rowCount = 100
def randomEl(data):
rand_items = [data[random.randrange(len(data))] for item in range(rowCount)]
return rand_items
df = DataFrame({
'color': Series(randomEl(colors)),
'engineType': Series(randomEl(engineTypes)),
'make': Series(randomEl(makes)),
'year': Series(randomEl(years)),
'accidents': Series([int(1000*random.random()) for i in range(rowCount)])
})
您可以使用color
通过独特的engineType
,make
和groupby()
组合获得事故数量:
accident_counts = df.groupby(['color', 'engineType', 'make'])['accidents'].sum()
Matplotlib是绘制结果的一种方式:
import matplotlib.pyplot as plt
accident_counts.plot(kind='bar')
plt.show()