def setup_axes(fig, rect):
ax = axislines.Subplot(fig, rect)
fig.add_subplot(ax)
ax.set_yticks([0.2, 0.8])
ax.set_xticks([0.2, 0.8])
return ax
def setup_axes(fig, rect):
ax = axislines.Subplot(fig, rect)
fig.add_subplot(ax)
ax.set_yticks([0.2, 0.8])
#ax.set_yticklabels(["short", "loooong"])
ax.set_xticks([0.2, 0.8])
#ax.set_xticklabels([r"$\frac{1}{2}\pi$", r"$\pi$"])
return ax
def main(table_name):
print("table_name" + table_name)
fig = plt.figure(1, figsize=(10, 6))
fig.subplots_adjust(bottom=0.2)
#1. 连接数据库
conn = ConnDB()
# 子图1
ax1 = axislines.Subplot(fig, 211)
fig.add_subplot(ax1)
results = []
results = SelectDB(conn, table_name)
for row in results:
# print(row[3])
ax1.scatter(row[1], row[3], s=int(row[2]) / 10) # 第三个变量表明根据收入气泡的大
#"豆瓣电影年份-评分图", FontProperties='STKAITI', fontsize=10)
# # 子图2
ax2 = axislines.Subplot(fig, 223)
fig.add_subplot(ax2)
results = []
results = CountDateDB(conn, table_name)
labels = [x[0] for x in results]
# 每个标签占多大，会自动去算百分比
sizes = [x[1] for x in results]
patches, l_text, p_text = plt.pie(sizes,
labels=labels,
labeldistance=1.1,
autopct='%3.1f%%',
shadow=False,
startangle=90,
pctdistance=0.6)
for t in l_text:
t.set_size = (30)
for t in p_text:
t.set_size = (20)
# 设置x，y轴刻度一致，这样饼图才能是圆的
plt.axis('equal')
plt.legend()
plt.suptitle("豆瓣电影年份-饼图", FontProperties='STKAITI', fontsize=10)
# # 子图3
ax2 = axislines.Subplot(fig, 224)
fig.add_subplot(ax2)
results = []
results = CountTimeDB(conn, table_name)
labels = [x[0] for x in results]
# 每个标签占多大，会自动去算百分比
sizes = [x[1] for x in results]
patches, l_text, p_text = plt.pie(sizes,
labels=labels,
labeldistance=1.1,
autopct='%3.1f%%',
shadow=False,
startangle=90,
pctdistance=0.6)
for t in l_text:
t.set_size = (30)
for t in p_text:
t.set_size = (20)
# 设置x，y轴刻度一致，这样饼图才能是圆的
plt.axis('equal')
plt.legend()
plt.suptitle("豆瓣电影时长-饼图", FontProperties='STKAITI', fontsize=10)
plt.show()
CloseDB(conn)
import matplotlib.pyplot as plt
from pylab import mpl
#plt.rcParams['font.sans-serif'] = ['YaHei Consolas Hybrid'] # 用来正常显示中文标签
#plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
import mpl_toolkits.axisartist.axislines as axislines
fig = plt.figure(1, figsize=(10, 6))
fig.subplots_adjust(bottom=0.2)
# 子图1
ax1 = axislines.Subplot(fig, 131)
fig.add_subplot(ax1)
# for axis in ax1.axis.values():
# axis.major_ticks.set_tick_out(True) # 标签全部在外部
ax1.axis[:].major_ticks.set_tick_out(True) # 这句和上面的for循环功能相同
ax1.axis["left"].label.set_text("子图1 -left标签") # 显示在左边
# 设置刻度
ax1.set_yticks([2, 4, 6, 8])
ax1.set_xticks([0.2, 0.4, 0.6, 0.8])
# 子图2
ax2 = axislines.Subplot(fig, 132)
fig.add_subplot(ax2)
ax2.set_yticks([1, 3, 5, 7])
ax2.set_yticklabels(('one', 'two', 'three', 'four', 'five')) # 不显示‘five’
ax2.set_xlim(5, 0) # X轴刻度
ax2.axis["left"].set_axis_direction("right")
ax2.axis["left"].label.set_text("子图2 -left标签") # 显示在右边
ax2.axis["bottom"].set_axis_direction("top")
ax2.axis["right"].set_axis_direction("left")
ax2.axis["top"].set_axis_direction("bottom")
def Get_Movie_Rate(url):
html = requests.get(url).content
page = etree.HTML(html)
title = (page.xpath("//*[@id='content']/h1/span[1]/text()")[0]).split()[0]
info = page.xpath("//*[@id='info']")[0]
movie = {}
movie['director'] = info.xpath("./span[1]/span[2]/a/text()")[0]
movie['screenwriter'] = info.xpath("./span[2]/span[2]/a/text()")[0]
movie['actors'] = '/'.join(info.xpath("./span[3]/span[2]/a/text()"))
movie['type'] = '/'.join(
info.xpath("./span[@property='v:genre']/"
"text()"))
movie['initialReleaseDate'] = '/'. \
join(info.xpath(".//span[@property='v:initialReleaseDate']/text()"))
movie['runtime'] = \
info.xpath(".//span[@property='v:runtime']/text()")[0]
star = page.xpath("//*[@id='interest_sectl']")[0]
movie['five_star'] = re.findall(
r"\d+\.?\d*",
star.xpath("./div[1]/div[3]/div[1]/span[2]/text()")[0])
movie['four_star'] = re.findall(
r"\d+\.?\d*",
star.xpath("./div[1]/div[3]/div[2]/span[2]/text()")[0])
movie['three_star'] = re.findall(
r"\d+\.?\d*",
star.xpath("./div[1]/div[3]/div[3]/span[2]/text()")[0])
movie['two_star'] = re.findall(
r"\d+\.?\d*",
star.xpath("./div[1]/div[3]/div[4]/span[2]/text()")[0])
movie['one_star'] = re.findall(
r"\d+\.?\d*",
star.xpath("./div[1]/div[3]/div[5]/span[2]/text()")[0])
print(movie)
#画图
fig = plt.figure(1, figsize=(10, 6))
fig.subplots_adjust(bottom=0.2)
ax2 = axislines.Subplot(fig, 111)
fig.add_subplot(ax2)
labels = ['一星', '两星', '三星', '四星', '五星']
# 每个标签占多大，会自动去算百分比
explode = [0, 0, 0, 0, 0.05] # 0.1 凸出这部分，
sizes = [
movie['one_star'], movie['two_star'], movie['three_star'],
movie['four_star'], movie['five_star']
]
patches, l_text, p_text = plt.pie(sizes,
labels=labels,
explode=explode,
labeldistance=1.1,
autopct='%3.1f%%',
shadow=False,
startangle=90,
pctdistance=0.6)
for t in l_text:
t.set_size = (30)
for t in p_text:
t.set_size = (20)
# 设置x，y轴刻度一致，这样饼图才能是圆的
plt.axis('equal')
plt.legend()
plt.suptitle(title + "豆瓣评分-饼图", FontProperties='STKAITI', fontsize=24)
plt.show()
def CloseDB(conn):
conn.close()
if __name__ == '__main__':
fig = plt.figure(1, figsize=(10, 6))
fig.subplots_adjust(bottom=0.2)
#1. 连接数据库
conn = ConnDB()
# 子图1
ax1 = axislines.Subplot(fig, 211)
fig.add_subplot(ax1)
results = []
results = SelectDB(conn)
for row in results:
# print(row[3])
ax1.scatter(row[1], row[3], s=int(row[2]) / 10) # 第三个变量表明根据收入气泡的大
#"豆瓣电影年份-评分图", FontProperties='STKAITI', fontsize=10)
# # 子图2
ax2 = axislines.Subplot(fig, 223)
fig.add_subplot(ax2)
results = []
results = CountDateDB(conn)
labels = [x[0] for x in results]