matplotlib可视化练习
%matplotlib inline
import matplotlib as mpl
from matplotlib import pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
- 分析年度乘客总量变化情况（折线图）
- 分析乘客在一年中各月份的分布（柱状图）
data = sns.load_dataset("flights")
data.head()
# 年份，月份，乘客数
Paste_Image.png
聚合求出每年的旅客数量
data_number = data.groupby(data['year']).sum()
data_number
Paste_Image.png
plt.plot(data_number.index,data_number.values)
output_6_1.png
各个月的分布
data_number = data[['month','passengers']].groupby(['month']).sum()
data_number = pd.Series(data_number['passengers'].values,index=(np.arange(1,13,1)))
data_number
1 2901
2 2820
3 3242
4 3205
5 3262
6 3740
7 4216
8 4213
9 3629
10 3199
11 2794
12 3142
dtype: int64
plt.bar(data_number.index,data_number.values)
output_9_1.png
