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Charts
Commit
3640f6d0
authored
Oct 17, 2021
by
BellCodeEditor
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parent
f4936340
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4 changed files
with
208 additions
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8 deletions
a.py
my_analysi.html
my_analysis.html
my_analysis.py
a.py
0 → 100644
View file @
3640f6d0
from
pyecharts.charts
import
Line
line
=
Line
()
x
=
[
"1月"
,
"2月"
,
"3月"
,
"4月"
,
"5月"
,
"6月"
,
"7月"
,
"8月"
,
"9月"
,
"10月"
,
"11月"
,
"12月"
]
y
=
[
2.6
,
5.9
,
9
,
26.7
,
136.2
,
175.196
.
3
,
5
,
4
,
2
,
2
,
5
,
3
]
line
.
add_xaxis
(
x
)
line
.
add_yaxis
(
"降水量"
,
y
)
line
.
render
(
"rain.html"
)
\ No newline at end of file
my_analysi.html
0 → 100644
View file @
3640f6d0
<!DOCTYPE html>
<html>
<head>
<meta
charset=
"UTF-8"
>
<title>
Awesome-pyecharts
</title>
<script
type=
"text/javascript"
src=
"https://assets.pyecharts.org/assets/echarts.min.js"
></script>
</head>
<body>
<div
id=
"74884db3559c4021a51524b1eb2efbcc"
class=
"chart-container"
style=
"width:900px; height:500px;"
></div>
<script>
var
chart_74884db3559c4021a51524b1eb2efbcc
=
echarts
.
init
(
document
.
getElementById
(
'74884db3559c4021a51524b1eb2efbcc'
),
'white'
,
{
renderer
:
'canvas'
});
var
option_74884db3559c4021a51524b1eb2efbcc
=
{
"animation"
:
true
,
"animationThreshold"
:
2000
,
"animationDuration"
:
1000
,
"animationEasing"
:
"cubicOut"
,
"animationDelay"
:
0
,
"animationDurationUpdate"
:
300
,
"animationEasingUpdate"
:
"cubicOut"
,
"animationDelayUpdate"
:
0
,
"color"
:
[
"#c23531"
,
"#2f4554"
,
"#61a0a8"
,
"#d48265"
,
"#749f83"
,
"#ca8622"
,
"#bda29a"
,
"#6e7074"
,
"#546570"
,
"#c4ccd3"
,
"#f05b72"
,
"#ef5b9c"
,
"#f47920"
,
"#905a3d"
,
"#fab27b"
,
"#2a5caa"
,
"#444693"
,
"#726930"
,
"#b2d235"
,
"#6d8346"
,
"#ac6767"
,
"#1d953f"
,
"#6950a1"
,
"#918597"
],
"series"
:
[
{
"type"
:
"bar"
,
"name"
:
"\u671f\u4e2d"
,
"legendHoverLink"
:
true
,
"data"
:
[
92
,
95
,
0
,
88
],
"showBackground"
:
false
,
"barWidth"
:
20
,
"barMinHeight"
:
0
,
"barCategoryGap"
:
"20%"
,
"barGap"
:
"30%"
,
"large"
:
false
,
"largeThreshold"
:
400
,
"seriesLayoutBy"
:
"column"
,
"datasetIndex"
:
0
,
"clip"
:
true
,
"zlevel"
:
0
,
"z"
:
2
,
"label"
:
{
"show"
:
true
,
"position"
:
"top"
,
"margin"
:
8
}
},
{
"type"
:
"bar"
,
"name"
:
"\u671f\u672b"
,
"legendHoverLink"
:
true
,
"data"
:
[
95
,
79
,
2
,
90
],
"showBackground"
:
false
,
"barWidth"
:
20
,
"barMinHeight"
:
0
,
"barCategoryGap"
:
"20%"
,
"barGap"
:
"30%"
,
"large"
:
false
,
"largeThreshold"
:
400
,
"seriesLayoutBy"
:
"column"
,
"datasetIndex"
:
0
,
"clip"
:
true
,
"zlevel"
:
0
,
"z"
:
2
,
"label"
:
{
"show"
:
true
,
"position"
:
"top"
,
"margin"
:
8
}
}
],
"legend"
:
[
{
"data"
:
[
"\u671f\u4e2d"
,
"\u671f\u672b"
],
"selected"
:
{
"\u671f\u4e2d"
:
true
,
"\u671f\u672b"
:
true
}
}
],
"tooltip"
:
{
"show"
:
true
,
"trigger"
:
"item"
,
"triggerOn"
:
"mousemove|click"
,
"axisPointer"
:
{
"type"
:
"line"
},
"showContent"
:
true
,
"alwaysShowContent"
:
false
,
"showDelay"
:
0
,
"hideDelay"
:
100
,
"textStyle"
:
{
"fontSize"
:
14
},
"borderWidth"
:
0
,
"padding"
:
5
},
"xAxis"
:
[
{
"show"
:
true
,
"scale"
:
false
,
"nameLocation"
:
"end"
,
"nameGap"
:
15
,
"gridIndex"
:
0
,
"inverse"
:
false
,
"offset"
:
0
,
"splitNumber"
:
5
,
"minInterval"
:
0
,
"splitLine"
:
{
"show"
:
false
,
"lineStyle"
:
{
"show"
:
true
,
"width"
:
1
,
"opacity"
:
1
,
"curveness"
:
0
,
"type"
:
"solid"
}
},
"data"
:
[
"\u6d48\u6d48"
,
"\u806a\u806a"
,
"\u5c0f\u9e4f"
,
"\u6ce2\u5947"
]
}
],
"yAxis"
:
[
{
"show"
:
true
,
"scale"
:
false
,
"nameLocation"
:
"end"
,
"nameGap"
:
15
,
"gridIndex"
:
0
,
"inverse"
:
false
,
"offset"
:
0
,
"splitNumber"
:
5
,
"minInterval"
:
0
,
"splitLine"
:
{
"show"
:
false
,
"lineStyle"
:
{
"show"
:
true
,
"width"
:
1
,
"opacity"
:
1
,
"curveness"
:
0
,
"type"
:
"solid"
}
}
}
]
};
chart_74884db3559c4021a51524b1eb2efbcc
.
setOption
(
option_74884db3559c4021a51524b1eb2efbcc
);
</script>
</body>
</html>
my_analysis.html
View file @
3640f6d0
...
...
@@ -7,11 +7,11 @@
</head>
<body>
<div
id=
"
994ad716a1c24255b06a5ff1697fc8bd
"
class=
"chart-container"
style=
"width:900px; height:500px;"
></div>
<div
id=
"
e062aa389fbe4d3ab1e0836d88af3ffa
"
class=
"chart-container"
style=
"width:900px; height:500px;"
></div>
<script>
var
chart_
994ad716a1c24255b06a5ff1697fc8bd
=
echarts
.
init
(
document
.
getElementById
(
'
994ad716a1c24255b06a5ff1697fc8bd
'
),
'white'
,
{
renderer
:
'canvas'
});
var
option_
994ad716a1c24255b06a5ff1697fc8bd
=
{
var
chart_
e062aa389fbe4d3ab1e0836d88af3ffa
=
echarts
.
init
(
document
.
getElementById
(
'
e062aa389fbe4d3ab1e0836d88af3ffa
'
),
'white'
,
{
renderer
:
'canvas'
});
var
option_
e062aa389fbe4d3ab1e0836d88af3ffa
=
{
"animation"
:
true
,
"animationThreshold"
:
2000
,
"animationDuration"
:
1000
,
...
...
@@ -186,7 +186,7 @@
}
]
};
chart_
994ad716a1c24255b06a5ff1697fc8bd
.
setOption
(
option_994ad716a1c24255b06a5ff1697fc8bd
);
chart_
e062aa389fbe4d3ab1e0836d88af3ffa
.
setOption
(
option_e062aa389fbe4d3ab1e0836d88af3ffa
);
</script>
</body>
</html>
my_analysis.py
View file @
3640f6d0
from
pyecharts.charts
import
Bar
subjects
=
[
"浈浈"
,
"聪聪"
,
"小
智
"
,
"波奇"
]
subjects
=
[
"浈浈"
,
"聪聪"
,
"小
鹏
"
,
"波奇"
]
scores1
=
[
92
,
95
,
0
,
88
]
# 期中成绩
scores2
=
[
95
,
79
,
2
,
90
]
# 期末成绩
bar
=
Bar
()
bar
.
add_xaxis
(
subjects
)
bar
.
add_yaxis
(
"期中"
,
scores1
,
bar_width
=
20
)
bar
.
add_yaxis
(
"期末"
,
scores2
,
bar_width
=
20
)
bar
.
render
(
"my_analysis.html"
)
\ No newline at end of file
bar
.
render
(
"my_analysi.html"
)
\ No newline at end of file
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