2017 q2_trip_history_data.csv
共享单车平均骑行时间的数据分析用原始大量数据,2017 q1_trip_history_data.csv
"""
明确任务:比较共享单车每个季度的平均骑行时间
"""
import os
import numpy as np
import matplotlib.pyplot as plt
data_path = './data/bikeshare'
data_filenames = ['2017-q1_trip_history_data.csv', '2017-q2_trip_history_data.csv',
'2017-q3_trip_history_data.csv', '2017-q4_trip_history_data.csv']
def collect_data():
"""
Step 1: 数据收集
"""
data_arr_list = []
for data_filename in data_filename
1