matplotlib绘图难题解决
# coding=utf-8
import pandas as pd
import yagmail
import requests
import arrow
import numpy as np
import matplotlib as mpl
from matplotlib.font_manager import _rebuild _rebuild() # reload一下
mpl.rcParams['font.sans-serif'] = ['SimHei']
mpl.rcParams['font.serif'] = ['SimHei'] now = arrow.now()
start_time = now.format("YYYY-MM-DD")
end_time = now.shift(days=7).format("YYYY-MM-DD")
filter = '''[{"cxxx"}]''' % (
start_time, end_time) brand_url = 'hxxx} headers = {xxx
} def get_brand_info(tar):
visible_flag = True
info = requests.post(brand_url, data=data, headers=headers)
df_data = info.json()['data']['records']
df = pd.DataFrame(df_data)
df_8 = df[df['ad_zone_id'] == 8]
df_105 = df[df['ad_zone_id'] == 105] df_8 = df_8[['ptdate', 'fill_rate']]
df_105 = df_105[['ptdate', 'fill_rate']] df_8['预xxx级'] = pd.cut(df_8['fill_rate'], bins=[0, 0.05, 0.10, 0.15, np.inf], labels=['空闲', '适中', '紧张', '非常紧张'])
df_105['预xxx级'] = pd.cut(df_105['fill_rate'], bins=[0, 0.05, 0.10, 0.15, np.inf], labels=['空闲', '适中', '紧张', '非常紧张']) df_8.rename(columns={'ptdate': '日期', 'fill_rate': '品xxxx率'}, inplace=True)
df_105.rename(columns={'ptdate': '日期', 'fill_rate': '品xxx率'}, inplace=True) if tar == 'inner':
ax_8 = df_8.plot('日期', '品xxxx率', kind='bar', title='首页未来xxxx图', rot=30,
color='#0f88eb')
vals_8 = ax_8.get_yticks()
ax_8.set_yticklabels(['{:,.2%}'.format(x) for x in vals_8])
ax_8.set_xticklabels(df_8['日期'].tolist())
for i, v in enumerate(df_8['品xxx率'].tolist()):
ax_8.text(i, v + 0.002, str(df_8['预xx级'].tolist()[i]), ha='center', fontweight='bold')
ax_8.yaxis.set_visible(visible_flag)
fig_8 = ax_8.get_figure()
fig_8.savefig('fig8_inner.png') ax_105 = df_105.plot('日期', '品牌填充率', kind='bar', title='回xxxx图', rot=30,
color='#0f88eb')
vals_105 = ax_105.get_yticks()
ax_105.set_yticklabels(['{:,.2%}'.format(x) for x in vals_105])
ax_105.set_xticklabels(df_105['日期'].tolist())
for index, value in enumerate(df_105['品xx率'].tolist()):
ax_105.text(index, value + 0.002, str(df_105['预xxx等级'].tolist()[index]), ha='center', fontweight='bold')
ax_105.yaxis.set_visible(visible_flag)
fig_105 = ax_105.get_figure()
fig_105.savefig('fig105_inner.png')
df_8['品xxxx充率'] = round(df_8['品xxxx率'] * 100, 2).apply(str) + '%'
df_105['xxxx率'] = round(df_105['品xxx率'] * 100, 2).apply(str) + '%' if tar == 'outter': visible_flag = False
ax_8 = df_8.plot('日期', '品xxxx充率', kind='bar', title='首xxxxx图', rot=30,
color='#0f88eb')
vals_8 = ax_8.get_yticks()
ax_8.set_yticklabels(['{:,.2%}'.format(x) for x in vals_8])
ax_8.set_xticklabels(df_8['日期'].tolist())
for i, v in enumerate(df_8['品xxxx率'].tolist()):
ax_8.text(i, v + 0.002, str(df_8['预xxx级'].tolist()[i]), ha='center', fontweight='bold')
ax_8.yaxis.set_visible(visible_flag)
fig_8 = ax_8.get_figure()
fig_8.savefig('fig8_outter.png') ax_105 = df_105.plot('日期', '品xxx率', kind='bar', title='回xxxx量走势图', rot=30,
color='#0f88eb')
vals_105 = ax_105.get_yticks()
ax_105.set_yticklabels(['{:,.2%}'.format(x) for x in vals_105])
ax_105.set_xticklabels(df_105['日期'].tolist())
for index, value in enumerate(df_105['品xxxx率'].tolist()):
ax_105.text(index, value + 0.002, str(df_105['xxx级'].tolist()[index]), ha='center', fontweight='bold')
ax_105.yaxis.set_visible(visible_flag)
fig_105 = ax_105.get_figure()
fig_105.savefig('fig105_outter.png')
df_8.drop('品xxxxx率', axis=1, inplace=True)
df_105.drop('品xxx率', axis=1, inplace=True) all_html_8 = df_8.to_html(escape=False, index=False).replace("\n", "")
all_html_105 = df_105.to_html(escape=False, index=False).replace("\n", "")
body = \
"""
<body>
<div align="center" class="header">
<!--标题部分的信息-->
<h1 align="center">您好，以下为xxxx占量情况！</h1>
</div>
<hr>
<div class="content">
<!--正文内容-->
<div>
<h4>近一xxxxxx量数据</h4>
{}
<div style="float:left;margin-left:30px;">
<img src='./fig8_{}.png' />
</div>
</div>
<br/>
<br/>
<div style="clear:both"></div>
<div>
<h4>近xxx据</h4>
{}
<div style="float:left;margin-left:30px;">
<img src='./fig105_{}.png' />
</div>
</div>
<div style="clear:both"></div>
<hr>
<p style="text-align: left">
—— 本次报告完 ——
</p>
</div>
</body>
""".format(all_html_8, tar,all_html_105,tar) head = \
'''
<head>
<meta charset="utf-8">
<STYLE TYPE="text/css" MEDIA=screen> table.dataframe {
border-collapse: collapse;
border: 2px solid #a19da2;
float:left;
margin-top:56px;
/*居中显示整个表格*/
/*margin: auto;*/
} table.dataframe thead {
border: 2px solid #91c6e1;
background: #f1f1f1;
padding: 10px 10px 10px 10px;
color: #333333;
} table.dataframe tbody {
border: 2px solid #91c6e1;
padding: 10px 10px 10px 10px;
} table.dataframe tr { } table.dataframe th {
vertical-align: top;
font-size: 14px;
padding: 10px 10px 10px 10px;
color: #105de3;
font-family: 微软雅黑;
text-align: center;
} table.dataframe td {
text-align: center;
padding: 10px 10px 10px 10px;
} body {
font-family: 微软雅黑;
} h1 {
color: blue;
} div.header h2 {
color: #0002e3;
font-family: 微软雅黑;
} h3 {
font-size: 22px;
background-color: rgba(0, 2, 227, 0.71);
text-shadow: 2px 2px 1px #de4040;
color: rgba(239, 241, 234, 0.99);
line-height: 1.5;
} h4 {
color: blue;
font-family: 微软雅黑;
font-size: 20px;
text-align: left;
} </STYLE>
</head>
''' foot = \
'''
<br/>
<p>
<br/>
</p>
'''
html_msg = "<html>" + head + body + foot + "</html>"
html_msg = html_msg.replace("\n", "")
with open('./' + tar + '.html', 'w', encoding='UTF-8', newline='') as fout:
fout.write(html_msg)
print(df_8.head())
print(df_105.head()) def send_week_mail(tar):
yag = yagmail.SMTP(user="xxxx@zhihu.com", password="cxxxx", host='smtp.xxxx.com')
print('正在准xxxx...')
if tar == 'inner':
# 链接邮箱服务器
# zhihu_staff = [xxx]
yag.send(to=zhihu_staff, subject='未来xxxx页占量',
contents=open('./' + tar + '.html', 'r', encoding='UTF-8', newline='').read())
print('内部xxxx发送!')
else:
# agent_staff = ['cxxx']
agent_staff = ['zxxxx']
yag.send(to=agent_staff, subject='未来xxxxx页占量',
contents=open('./' + tar + '.html', 'r', encoding='UTF-8', newline='').read())
print('外部每日xxxx发送!') def main():
target = ['inner', 'outter']
for tar in target:
get_brand_info(tar)
send_week_mail(tar) if __name__ == '__main__':
main()
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