jupyter/户外运动.ipynb

In [7]:

import pymysql
import pyecharts
from datetime import datetime

db = pymysql.connect("localhost","songyi","yylzs","mydata" )
cursor = db.cursor()
item_id =1
per_id = 1
list_date = []
dict_tar = {}
dict_det = {}
dict_date = {}
## 获取项目信息
sql = "select a.id,a.name,a.unit from sports_target as a,sports_item_target as b where b.item_id =%s and a.id =b.target_id"
cursor.execute(sql, (item_id))
results = cursor.fetchall()
for result in results:
    dict_tar[result[0]] = [result[1],result[2]]
## 获取运动记录信息
sql = "select id,re_date from sports_record where item_id =%s and person_id =%s order by re_date"
cursor.execute(sql, (item_id,per_id))
results = cursor.fetchall()
for result in results:
    list_date.append(result[0])
    dict_date[result[0]] = result[1].strftime("%Y-%m-%d")
s_date = ''    
sql = "select rec_id_id,target_id_id,value from sports_detail where rec_id_id in {}".format(tuple(list_date))
cursor.execute(sql)
results = cursor.fetchall()
for s in list_date:
    dict_det[dict_date[s]] = {}
for result in results:
    s = result[0]
    dict_det[dict_date[s]][result[1]] = result[2]
#print(dict_det)

In [8]:

from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB
from pyecharts import options as opts
from pyecharts.charts import Bar,Line
import pyecharts.options as opts
x_data = []
y_data1 = []
y_data2 = []
y_data3 = []
y_data4 = []
for key,value in dict_det.items():
    x_data.append(key)
    y_data1.append(value[8])
    y_data2.append(value[9])
    y_data3.append(value[4])
    y_data4.append(value[5])
bar = (
    Bar()
    .add_xaxis(x_data)
    .add_yaxis("平均心率", y_data1,label_opts=opts.LabelOpts(is_show=False),gap="0%")
    .add_yaxis("最大心率", y_data2,label_opts=opts.LabelOpts(is_show=False),gap="0%")   
    .add_yaxis("平均步频", y_data4,label_opts=opts.LabelOpts(is_show=False),gap="0%")
    .extend_axis(
        yaxis=opts.AxisOpts(
            name="平均速度",
            type_="value",
            min_=min(y_data3),
            max_=max(y_data3),
            interval=(max(y_data3)-min(y_data3))/5,
            axislabel_opts=opts.LabelOpts(formatter="{value} km/h"),
        )
    )
    .set_global_opts(
        tooltip_opts=opts.TooltipOpts(
            is_show=True, trigger="axis", axis_pointer_type="cross"
        ),
        xaxis_opts=opts.AxisOpts(
            type_="category",
            axispointer_opts=opts.AxisPointerOpts(is_show=True, type_="shadow"),
        ),
        yaxis_opts=opts.AxisOpts(
            name="心率",
            type_="value",
            min_=0,
            max_=180,
            interval=20,
            axislabel_opts=opts.LabelOpts(formatter="{value} 次/分钟"),
            axistick_opts=opts.AxisTickOpts(is_show=True),
            splitline_opts=opts.SplitLineOpts(is_show=True),
        ),
    )
    .set_global_opts(title_opts=opts.TitleOpts(title="运动心率", subtitle="户外运动"),)
)
line = (
    Line()
    .add_xaxis(xaxis_data=x_data)
    .add_yaxis(
        series_name="平均速度",
        yaxis_index=1,
        y_axis=y_data3,
        label_opts=opts.LabelOpts(is_show=False),
    )
)

bar.overlap(line).load_javascript()

Out [8]:

<pyecharts.render.display.Javascript at 0x7fd1881d60d0>

In [9]:

bar.overlap(line).render_notebook()

Out [9]:

In [5]:

from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB
from pyecharts import options as opts
from pyecharts.charts import Bar,Line
import pyecharts.options as opts

colors = ["#5793f3", "#d14a61", "#675bba"]
x_data = []
y_data1 = []
y_data2 = []
y_data3 = []
for key,value in dict_det.items():
    x_data.append(key)
    y_data1.append(value[6])
    y_data2.append(value[5])
    y_data3.append(value[2])
bar = (
    Bar()
    .add_xaxis(x_data)
    .add_yaxis(
        series_name="平均步幅", 
        yaxis_data=y_data1,
        yaxis_index=0,
        color=colors[1],
        gap="0%"
    )
    .add_yaxis("平均步频", yaxis_data=y_data2, yaxis_index=1, color=colors[0],gap="0%")    
    .extend_axis(
        yaxis=opts.AxisOpts(
            name="平均步幅",
            type_="value",
            min_=0,
            max_=200,
            position="right",
            axisline_opts=opts.AxisLineOpts(
                linestyle_opts=opts.LineStyleOpts(color=colors[1])
            ),
            axislabel_opts=opts.LabelOpts(formatter="{value} 厘米"),
        )
    )
    .extend_axis(
        yaxis=opts.AxisOpts(
            name="运动时间",
            type_="value",
            min_=min(y_data3),
            max_=max(y_data3),
            interval=int((max(y_data3)-min(y_data3))/4),
            axislabel_opts=opts.LabelOpts(formatter="{value} 分"),
            position="left",
        )
    )
    .set_global_opts(
        tooltip_opts=opts.TooltipOpts(
            is_show=True, trigger="axis", axis_pointer_type="cross"
        ),
        xaxis_opts=opts.AxisOpts(
            type_="category",
            axispointer_opts=opts.AxisPointerOpts(is_show=True, type_="shadow"),
        ),
        yaxis_opts=opts.AxisOpts(
            name="步频",
            type_="value",
            min_=0,
            max_=200,
            interval=50,
            position="right",
            offset=40,
            axislabel_opts=opts.LabelOpts(formatter="{value} 步/分钟"),
            axistick_opts=opts.AxisTickOpts(is_show=True),
            splitline_opts=opts.SplitLineOpts(is_show=True),
        ),
    )
    .set_global_opts(title_opts=opts.TitleOpts(title="运动步幅及步频", subtitle="户外运动"),)
)
line = (
    Line()
    .add_xaxis(xaxis_data=x_data)
    .add_yaxis(
        series_name="运动时间",
        yaxis_index=2,
        y_axis=y_data3,
        label_opts=opts.LabelOpts(is_show=False),
    )
)

bar.overlap(line).load_javascript()

Out [5]:

<pyecharts.render.display.Javascript at 0x7fd1881d6e20>

In [6]:

bar.overlap(line).render_notebook()

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