def linetest(self):
from pyecharts import Line
line = Line('发帖时间分布折线图', self.ftitle)
key, value = line.cast(self.linedata)
line.add('发帖人数',
key,
value,
is_label_show=True,
is_fill=True,
area_opacity=0.3,
is_smooth=True)
line.render(r'pic\发帖时间折线图.html')
print("折线图测试成功输出")
def draw_sentiment_pic(comments):
print("正在处理观众情感曲线......")
score = comments['score'].dropna() # 获取观众评分
data = Counter(score).most_common() # 记录相应评分对应的的评论数
data = sorted(data, key=lambda data: data[0]) # 使用lambda表达式对数据按评分进行排序
line = Line('《流浪地球》观众情感曲线', '数据来源：猫眼电影 数据分析：16124278-王浩',
**style_others.init_style) # 初始化
attr, value = line.cast(data) # 传值
for i, v in enumerate(attr): # 将分数修改为整数便于渲染图上的展示
attr[i] = v * 2
line.add("",
attr,
value,
is_smooth=True,
is_more_utils=True,
yaxis_max=380000,
xaxis_max=10) # 加入数据和其它参数
line.render("./output/观众情感分析-曲线图.html") # 渲染
print("观众情感曲线已完成!!!")
def gen_line(city, times_prices):
line = Line()
times, prices = line.cast(times_prices)
line.add(city, times, prices)
return line
def time_distribution(self, times):
# 计算v1，按小时统计,计算V2,按天统计
date_hour = []
date_day = []
for time in times:
dtime = datetime.datetime.strptime(time, '%Y-%m-%d %H:%M:%S')
date_hour.append(dtime.strftime('%m-%d|%H'))
date_day.append(dtime.strftime('%m-%d'))
# 按时间升序排序
date_hour.sort()
date_day.sort()
# 不能用counter类，因为他会排序
date_hour_dict = {}
for date in date_hour:
if date not in date_hour_dict:
date_hour_dict[date] = 1
else:
date_hour_dict[date] += 1
# print(date_hour_dict)
# 每日总数
date_day_dict = {}
for date in date_day:
if date not in date_day_dict:
date_day_dict[date] = 1
else:
date_day_dict[date] += 1
# print(date_day_dict)
line_top = Line("评论时间(小时)折线图")
attr1, v1 = line_top.cast(date_hour_dict)
# print(attr)
# print(v)
line_top.add("时间(小时)",
attr1,
v1,
mark_point=['max'],
mark_line=['average'],
is_fill=True,
area_color="#FFCCCC",
area_opacity=0.3,
is_smooth=True,
is_datazoom_show=True,
datazoom_type="both",
datazoom_xaxis_index=[0, 1])
# line.render(self.path + r'/time_line.html')
line_bottom = Line("")
attr2, v2 = line_bottom.cast(date_day_dict)
line_bottom.add(
"时间(天)",
attr2,
v2,
legend_pos="60%",
mark_point=["max", "min"],
mark_line=["average"],
# is_yaxis_inverse=True,
xaxis_pos="top",
is_datazoom_show=True)
grid = Grid(width=1200, height=800)
grid.add(line_top, grid_bottom='60%')
grid.add(line_bottom, grid_top='50%')
grid.render(self.path + r'/time_line.html')
