def get_viz(method, label, data):
if method == 'bar':
viz = charts.Bar()
viz.add_xaxis(label)
viz.add_yaxis('', data)
elif method == 'pie':
data = [list(d) for d in zip(label, data)]
viz = charts.Pie()
viz.add('', data)
return viz
def draw_multi_bar(self):
date = 0
iccid_list = []
x_data = [[0], [50], [100], [150], [200], [250], [300], [350], [400],
[450], [500], [550], [600], [650], [700], [750], [800],
[850], [900], [950], '>1G']
v1 = [[8, 5, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[64, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3],
[
63, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1
],
[
197, 60, 26, 24, 17, 11, 14, 9, 6, 6, 6, 5, 6, 1, 5, 9, 4, 2,
2, 0, 116
],
[
144, 52, 29, 17, 15, 11, 10, 6, 8, 3, 10, 8, 22, 17, 14, 10,
10, 7, 10, 0, 159
],
[
1225, 507, 288, 192, 129, 90, 62, 71, 46, 28, 32, 29, 58, 43,
25, 21, 30, 11, 12, 0, 242
],
[
416, 180, 146, 78, 49, 49, 46, 16, 23, 16, 13, 10, 15, 23,
18, 11, 15, 11, 4, 0, 215
],
[
602, 244, 115, 83, 57, 37, 22, 35, 33, 27, 19, 13, 25, 22,
10, 15, 17, 13, 8, 0, 288
]]
bar = pyec.Bar()
for i in range(201905, 201913):
bar.add_xaxis(x_data)
bar.add_yaxis(series_name=str(i), yaxis_data=v1[i - 201905])
bar.overlap(bar)
bar.render('../TotalData.html')
bar.add('软件工程师',
attr,
a3_list,
mark_point=['max'],
tooltip_trigger='axis',
tooltip_axispointer_type='cross',
bar_category_gap=45) #追加最大值标记点、最小值标记点
bar.add('管理',
attr,
a4_list,
mark_point=['max'],
tooltip_trigger='axis',
tooltip_axispointer_type='cross',
bar_category_gap=45,
is_label_show=True) #追加最大值标记点、最小值标记点
bar.render(r"D:\BI大屏\统计学招聘\前五职位薪资对比柱状图.html")
# 用pyechart 1.5.11版的命令
#==============================================================================
import pyecharts.charts as pyec
import pyecharts.options as opts
bar = pyec.Bar()
# 添加标题
bar.set_global_opts(title_opts=opts.TitleOpts(title='2018-2019薪资比较图'))
bar.add_xaxis(attr)
bar.add_yaxis('2019', b)
bar.add_yaxis('2018', c)
bar.render(r"D:\BI大屏\图\薪资对比柱状图.html")
import numpy as np
import re
import pandas as pd
from pyecharts import charts as chas
from pyecharts import options as opts
file_path = r'E:\爬虫pycharm\data\goods_detail\10231420_with_ad.xlsx'
data_df = pd.DataFrame(pd.read_excel(file_path))
data_df.dropna(subset=['sales_est'], inplace=True)
data_df.sort_values(by=['sales_est'], inplace=True, ascending=False)
data_bar = (chas.Bar().add_xaxis(data_df['ASIN'].tolist()).add_yaxis(
"预测销量",
data_df['sales_est'].tolist(),
label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title='销量预测'),
legend_opts=opts.LegendOpts(is_show=True),
toolbox_opts=opts.ToolboxOpts(),
datazoom_opts=opts.DataZoomOpts(),
))
def money_change(strr):
money_ = None
if strr:
try:
money_ = float(strr.replace(',', '').strip('$'))
except:
money_ = None
if re.search(strr, '-'):
try:
strr_1, strr_2 = strr.split('-')
def create_bar(x_list, col_name, y_list):
bar = charts.Bar()
bar.add_xaxis(x_list)
bar.add_yaxis(col_name, y_list)
bar.render("Main/Sources/bar.html")
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 31 08:16:29 2019
@author: Administrator
"""
import pyecharts.charts as pyec
# 柱状图
x = ['甲','乙','丙']
y = [300,800,600]
bar = pyec.Bar()
bar.add_xaxis(x)
bar.add_yaxis(series_name = '公司A',yaxis_data = y)
# 保存
bar.render(r'D:\Python Spyder\数据可视化\My PyEcharts\柱状图.html')
#加一些配置选项
import pyecharts.options as opts
# 添加标题
bar.set_global_opts(title_opts = opts.TitleOpts(title = '比较图'))
bar.render(r'D:\Python Spyder\数据可视化\My PyEcharts\柱状图2.html')
#增加一个数据系列
y1 = [1200,500,200]
bar.add_yaxis(series_name = '公司B',yaxis_data=y1)
bar.render(r'D:\Python Spyder\数据可视化\My PyEcharts\柱状图3.html')
# 变成条形图
'''
page = Page() # 使用page则只需要最后page进行render即可
# 也可以采用如下的链式调用, 使用options配置项
xtick = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
ytickA = [5, 20, 36, 10, 75, 90]
ytickB = [15, 6, 45, 20, 35, 66]
# 在使用 Pandas&Numpy 时，请确保将数值类型转换为 python 原生的 int/float。
# 比如整数类型请确保为 int，而不是 numpy.int32
labelA = "商家A"
labelB = "商家B"
bar = (
charts.Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK)) # 使用主题
.add_xaxis(xtick).add_yaxis(labelA, ytickA).add_yaxis(labelB, ytickB)
# 设置title
.set_global_opts(title_opts={
'text': '主标题',
'subtext': '副标题'
}))
# bar.render('bar_echats.html') # 渲染网页
# 渲染图片： snapshot-selenium
# make_snapshot(snapshot, bar.render('bar_echats.html'), "bar_echarts.jpeg")
page.add(bar)
begin = datetime.date(2018, 1, 1)
end = datetime.date(2019, 1, 1)
data = []
for i in range((end - begin).days):
temp = [
str(begin + datetime.timedelta(days=i)),
random.randint(1000, 25000)
def bar_chart_display_delay(request):
category = ["类目{}".format(i) for i in range(0, 100)]
red_bar = [
0,
-8.901463875624668,
-17.025413764148556,
-24.038196249566663,
-29.66504684804471,
-33.699527649688676,
-36.00971978255796,
-36.541005056170455,
-35.31542466107655,
-32.427752866005996,
-28.038563739693934,
-22.364693082297347,
-15.667600860943732,
-8.240217424060843,
-0.3929067389459173,
7.560799717904647,
15.318054209871054,
22.599523033552096,
29.16065418543528,
34.800927952557615,
39.37074152590451,
42.77569739999406,
44.97819140223978,
45.99632376477021,
45.900279829731865,
44.806440199911805,
42.86957840395034,
40.2735832137877,
37.22119936652441,
33.92331243435557,
30.588309963978517,
27.412031986865767,
24.56878097935778,
22.203796820272576,
20.427519715115604,
19.311867685884827,
18.888649906111855,
19.150128087782186,
20.051630602288828,
21.516023200879346,
23.439750867099516,
25.700091656548704,
28.163208735293757,
30.692553648214542,
33.1571635093161,
35.439407573791215,
37.44177367693234,
39.09234039030659,
40.34865356244595,
41.19981246258526,
41.66666666666667,
41.80012531240646,
41.67768039516203,
41.39834040182826,
41.07625507973403,
40.833382300579814,
40.79160029175877,
41.06470032034727,
41.75070457358366,
42.924940903672564,
44.63427081999565,
46.89281122872821,
49.679416561286956,
52.93709961387478,
56.574470884754874,
60.46917221906629,
64.47317623531558,
68.41972346252496,
72.1315793340836,
75.43021771943799,
78.14548044723074,
80.12522637371026,
81.24447108408411,
81.41353029256493,
80.58471628367427,
78.75719600392792,
75.97969924353211,
72.35086229880064,
68.01710226438443,
63.16803467673056,
58.029567166714706,
52.854918421647554,
47.91391949819902,
43.48104807503482,
39.82272085822884,
37.18442111754884,
35.778264289169215,
35.77160292258658,
37.27724241244461,
40.345781666728996,
44.96051012913295,
51.035187614675685,
58.41491053964701,
66.8801325453253,
76.15376513468516,
85.91114110149952,
95.79248672571518,
105.41742429574506,
114.40092042993717,
122.37001313784816,
]
blue_bar = [
-50,
-47.18992898088751,
-42.54426104547181,
-36.290773900754886,
-28.71517529663627,
-20.146937097399626,
-10.94374119697364,
-1.4752538113770308,
7.893046603320797,
16.81528588241657,
24.979206795219028,
32.11821023962515,
38.02096119056733,
42.53821720798438,
45.58667093073836,
47.14973738101559,
47.275355710354944,
46.07100702178889,
43.6962693226927,
40.35333240268025,
36.275975292575026,
31.71756381888028,
26.938653692729076,
22.194784893913152,
17.725026430574392,
13.741778696752679,
10.422266555457615,
7.902063853319403,
6.270884006107842,
5.570756810898967,
5.796594266992678,
6.899033489892203,
8.7893381290192,
11.346045936704996,
14.42297348773613,
17.858132851517098,
21.483081596548438,
25.132218074866262,
28.651548555679597,
31.906490373810854,
34.788333671419466,
37.21906041552118,
39.154309232933485,
40.58437366457342,
41.5332247510366,
42.05565130942339,
42.23270781895,
42.165745792772285,
41.969375711588256,
41.76375960543808,
41.66666666666667,
41.7857343479728,
42.21136481847887,
43.01065209435119,
44.22268037417866,
45.855461823273586,
47.88469584957917,
50.25443606443524,
52.879650371477126,
55.650558977584225,
58.43853958732492,
61.10330341815434,
63.500974294013034,
65.49264961151306,
66.95298925309743,
67.77836838841961,
67.89414332224722,
67.26061575374229,
65.87733853082335,
63.785482681031894,
61.068077697490004,
57.84804048526095,
54.284018163297375,
50.564180830851214,
46.89820707575337,
43.50780217852947,
40.616171775045245,
38.4369379107128,
37.16302649485318,
36.95607267600796,
37.93688225696513,
40.17745279877072,
43.694998595987045,
48.44834150353593,
54.33692802801367,
61.20261650152743,
68.83425165632042,
76.97491319735354,
85.33159602026458,
93.58695857541488,
101.4126683297632,
108.48378461530217,
114.49355390682695,
119.16795429637915,
122.27931702317058,
123.65837448506679,
123.20413594805603,
120.89107255501017,
116.7731992576505,
110.98476877890735,
]
c = pc.Bar(init_opts=opts.InitOpts(width="1300px", height="600px"))\
.add_xaxis ( xaxis_data = category)\
.add_yaxis(
series_name = "bar" , yaxis_data = red_bar , label_opts = opts.LabelOpts ( is_show = False )
) \
.add_yaxis(
series_name="bar2" ,
yaxis_data=blue_bar ,
label_opts=opts.LabelOpts(is_show=False) ,
)\
.set_global_opts(
title_opts=opts.TitleOpts(title="柱状图动画延迟") ,
xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=False)) ,
yaxis_opts=opts.AxisOpts(
axistick_opts=opts.AxisTickOpts(is_show=True) ,
splitline_opts=opts.SplitLineOpts(is_show=True) ,
) ,
)
return HttpResponse(c.render_embed())
def bar(request):
c = (pc.Bar().add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]).add_yaxis(
"商家A", [5, 20, 36, 10, 75, 90]).add_yaxis(
"商家B", [15, 25, 16, 55, 48, 8]).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题")))
return HttpResponse(c.render_embed())
def draw_dymatic_bar(self, x_data, y_data, name, title):
bar = pyec.Bar()
bar.add_xaxis(x_data)
bar.add_yaxis(series_name=title, yaxis_data=y_data)
bar.render('./TotalData' + name + '.html')