More details to follow: https://pyecharts.org/#/zh-cn/rectangular_charts?id=bar%ef%bc%9a%e6%9f%b1%e7%8a%b6%e5%9b%be%e6%9d%a1%e5%bd%a2%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_stack():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
# Series with the same stack name will be mounted together.
bar.add_yaxis('A', Faker.values(), stack='stack1')
bar.add_yaxis('B', Faker.values(), stack='stack1')
bar.add_yaxis('C', Faker.values(), stack='stack2')
bar.add_yaxis('D', Faker.values(), stack='stack2')
return bar
chart = bar_stack()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_axis_off():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('', Faker.values(), itemstyle_opts=opts.ItemStyleOpts(color='red'))
# Enable lable
bar.set_series_opts(label_opts=opts.LabelOpts(position='insideLeft', formatter='{b}:{c}'))
# Do not show axis
bar.set_global_opts(xaxis_opts=opts.AxisOpts(is_show=False),
yaxis_opts=opts.AxisOpts(is_show=False))
# Reverse axis
bar.reversal_axis()
return bar
chart = bar_with_axis_off()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = list(range(2010, 2020))
y_data = [random.randint(20, 200) for _ in range(len(x_data))]
def bar_with_custom_axis_label():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(x_data)
bar.add_yaxis('', y_data, is_show_background=True, itemstyle_opts=opts.ItemStyleOpts(color='#33FFFF'))
bar.set_global_opts(xaxis_opts=opts.AxisOpts(
# Add "Year" before each year
axislabel_opts=opts.LabelOpts(formatter='Year {value}')))
return bar
chart = bar_with_custom_axis_label()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ['Banana', 'Pear', 'Peach', 'Orange', 'Watermelon', 'Apple']
y_data_1 = [random.randint(10, 50) for _ in range(len(x_data))]
y_data_2 = [random.randint(100, 500) for _ in range(len(x_data))]
def bar_with_multiple_axis():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(x_data)
# Add a Y-axis
bar.extend_axis(yaxis=opts.AxisOpts())
# Assign Y axis
bar.add_yaxis('Left Y Axis', y_data_1, yaxis_index=0)
bar.add_yaxis('Right Y Axis', y_data_2, yaxis_index=1)
return bar
chart = bar_with_multiple_axis()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
ios_icon = 'path://M24.734 17.003c-0.040-4.053 3.305-5.996 3.454-6.093-1.88-2.751-4.808-3.127-5.851-3.171-2.492-0.252-4.862 1.467-6.127 1.467-1.261 0-3.213-1.43-5.28-1.392-2.716 0.040-5.221 1.579-6.619 4.012-2.822 4.897-0.723 12.151 2.028 16.123 1.344 1.944 2.947 4.127 5.051 4.049 2.026-0.081 2.793-1.311 5.242-1.311s3.138 1.311 5.283 1.271c2.18-0.041 3.562-1.981 4.897-3.931 1.543-2.255 2.179-4.439 2.216-4.551-0.048-0.022-4.252-1.632-4.294-6.473zM20.705 5.11c1.117-1.355 1.871-3.235 1.665-5.11-1.609 0.066-3.559 1.072-4.713 2.423-1.036 1.199-1.942 3.113-1.699 4.951 1.796 0.14 3.629-0.913 4.747-2.264z'
android_icon = 'path://M28 12c-1.1 0-2 0.9-2 2v8c0 1.1 0.9 2 2 2s2-0.9 2-2v-8c0-1.1-0.9-2-2-2zM4 12c-1.1 0-2 0.9-2 2v8c0 1.1 0.9 2 2 2s2-0.9 2-2v-8c0-1.1-0.9-2-2-2zM7 23c0 1.657 1.343 3 3 3v0 4c0 1.1 0.9 2 2 2s2-0.9 2-2v-4h4v4c0 1.1 0.9 2 2 2s2-0.9 2-2v-4c1.657 0 3-1.343 3-3v-11h-18v11zM24.944 10c-0.304-2.746-1.844-5.119-4.051-6.551l1.001-2.001c0.247-0.494 0.047-1.095-0.447-1.342s-1.095-0.047-1.342 0.447l-1.004 2.009-0.261-0.104c-0.893-0.297-1.848-0.458-2.84-0.458s-1.947 0.161-2.84 0.458l-0.261 0.104-1.004-2.009c-0.247-0.494-0.848-0.694-1.342-0.447s-0.694 0.848-0.447 1.342l1.001 2.001c-2.207 1.433-3.747 3.805-4.051 6.551v1h17.944v-1h-0.056zM13 8c-0.552 0-1-0.448-1-1s0.447-0.999 0.998-1c0.001 0 0.002 0 0.003 0s0.001-0 0.002-0c0.551 0.001 0.998 0.448 0.998 1s-0.448 1-1 1zM19 8c-0.552 0-1-0.448-1-1s0.446-0.999 0.998-1c0 0 0.001 0 0.002 0s0.002-0 0.003-0c0.551 0.001 0.998 0.448 0.998 1s-0.448 1-1 1z'
x_data = ["2020/7/{}".format(i + 1) for i in range(10)]
# Generate random data
y_data_1 = [random.randint(10, 20) for i in range(len(x_data))]
y_data_2 = [random.randint(15, 25) for i in range(len(x_data))]
def bar_custom_legend_symbol():
# 当前并不支持同一个图表针对不同的系列设置不同的icon
# 方案是将多个系列的数据拆分到多个图表设置各自的icon，最后通过grid将图表组合起来
ios_bar = Bar()
ios_bar.add_xaxis(x_data)
ios_bar.add_yaxis('IOS', y_data_1)
ios_bar.set_global_opts(legend_opts=opts.LegendOpts(legend_icon=ios_icon,
pos_right='15%'))
az_bar = Bar()
az_bar.add_xaxis(x_data)
az_bar.add_yaxis('Android', y_data_2)
az_bar.set_global_opts(legend_opts=opts.LegendOpts(legend_icon=android_icon,
pos_right='5%'))
# 将az_bar和ios_bar组合起来
grid = Grid(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
grid.add(ios_bar, is_control_axis_index=True, grid_opts=opts.GridOpts())
grid.add(az_bar, is_control_axis_index=True, grid_opts=opts.GridOpts())
return grid
chart = bar_custom_legend_symbol()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_single_selected():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
# Single selection mode for legend
bar.set_global_opts(legend_opts=opts.LegendOpts(selected_mode='single'))
return bar
chart = bar_single_selected()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random data
y_data = [random.randint(10, 20) for i in range(len(x_data))]
def bar_datazoom_inside():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(x_data)
bar.add_yaxis('', y_data)
bar.set_global_opts(datazoom_opts=opts.DataZoomOpts(type_='inside',
range_start=50, # setup the starting and end point，50%-100%
range_end=100))
return bar
chart = bar_datazoom_inside()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random data
y_data = [random.randint(10, 20) for i in range(len(x_data))]
def bar_with_datazoom_slider():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(x_data)
bar.add_yaxis('', y_data)
bar.set_global_opts(datazoom_opts=opts.DataZoomOpts(range_start=50, # setup the starting and end point，50%-100%
range_end=100))
return bar
chart = bar_with_datazoom_slider()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random data
y_data = [random.randint(10, 20) for i in range(len(x_data))]
def bar_datazoom_both_way():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(x_data)
bar.add_yaxis('', y_data)
# transfer 2 datazoom_opts via list
bar.set_global_opts(datazoom_opts=[opts.DataZoomOpts(),
opts.DataZoomOpts(type_='inside', range_start=50, range_end=100)])
return bar
chart = bar_datazoom_both_way()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_reverse_axis():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
# Flip X, Y Axis
bar.reversal_axis()
return bar
chart = bar_reverse_axis()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_animation():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px',
animation_opts=opts.AnimationOpts(animation_delay=1000, # animation delay
animation_easing='bounceIn')
)
)
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
return bar
chart = bar_with_animation()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_visualmap_color():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
# set visual map using different color to represent the data, data range from 0-100 using min_ and max_ to customize.
bar.set_global_opts(visualmap_opts=opts.VisualMapOpts())
return bar
chart = bar_with_visualmap_color()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.commons.utils import JsCode
color_js = """
new echarts.graphic.LinearGradient(
0,
1,
0,
0,
[{offset: 0, color: '#008B8B'},
{offset: 1, color: '#FF6347'}],
false)
"""
def bar_with_linear_gradient_color():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('', Faker.values(),
# using JsCode for color gradient
itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_js)))
return bar
chart = bar_with_linear_gradient_color()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_custom_splitline():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
# Define split line
bar.set_global_opts(yaxis_opts=opts.AxisOpts(
splitline_opts=opts.SplitLineOpts(is_show=True,
linestyle_opts=opts.LineStyleOpts(type_='dotted'))))
return bar
chart = bar_with_custom_splitline()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_custom_splitarea():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
# Define split area
bar.set_global_opts(yaxis_opts=opts.AxisOpts(
splitarea_opts=opts.SplitAreaOpts(is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=1))))
return bar
chart = bar_with_custom_splitarea()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_dict_config():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('', Faker.values())
# configre itemstyle using dictionary
bar.set_series_opts(itemstyle_opts=dict(color='#008B8B', opacity=0.8))
return bar
chart = bar_with_dict_config()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def bar_with_guide_line():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
# Configure mark line
bar.set_series_opts(
markline_opts=opts.MarkLineOpts(
data=[
opts.MarkLineItem(type_="min", name="Min"),
opts.MarkLineItem(type_="max", name="Max"),
opts.MarkLineItem(type_="average", name="Avg"),
]
)
)
return bar
chart = bar_with_guide_line()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/rectangular_charts?id=scatter%ef%bc%9a%e6%95%a3%e7%82%b9%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = [random.randint(0, 20) for _ in range(100)]
y_data = [random.randint(0, 50) for _ in range(100)]
def scatter_with_value_xaxis():
scatter = Scatter(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
scatter.add_xaxis(x_data)
scatter.add_yaxis('', y_data)
# X轴默认数据类型为离散数据，设置为数值型
scatter.set_global_opts(xaxis_opts=opts.AxisOpts(type_="value"))
return scatter
chart = scatter_with_value_xaxis()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.commons.utils import JsCode
color_js = """new echarts.graphic.RadialGradient(
0.4, 0.3, 1,
[{offset: 0,
color: '#F8F8FF'},
{offset: 1,
color: '#00BFFF'}
])"""
def scatter_with_radial_gradient_color():
scatter = Scatter(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
scatter.add_xaxis(Faker.choose())
scatter.add_yaxis("", Faker.values(),
symbol_size=50,
itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_js)))
return scatter
chart = scatter_with_radial_gradient_color()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def scatter_with_visualmap_size():
scatter = Scatter(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
scatter.add_xaxis(Faker.choose())
scatter.add_yaxis('', Faker.values())
# Configure visual options
scatter.set_global_opts(visualmap_opts=opts.VisualMapOpts(type_='size'))
return scatter
chart = scatter_with_visualmap_size()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = [random.randint(0, 100) for _ in range(30)]
y_data = [(random.randint(0, 100), random.randint(0, 100), random.randint(0, 100)) for _ in range(30)]
def scatter_with_visualmap_color_size():
scatter = Scatter(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
scatter.add_xaxis(x_data)
scatter.add_yaxis('', y_data)
# Define visual options using list, define dimension.
scatter.set_global_opts(visualmap_opts=[opts.VisualMapOpts(is_show=True, type_='size', dimension=2, pos_top='20%'),
opts.VisualMapOpts(is_show=True, type_='color', dimension=3, pos_top='60%')
],
xaxis_opts=opts.AxisOpts(type_="value"))
return scatter
chart = scatter_with_visualmap_color_size()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = [random.randint(0, 100) for _ in range(30)]
y_data = [(random.randint(0, 100), random.randint(0, 100), random.randint(0, 100), random.randint(0, 100))
for _ in range(30)]
def scatter_with_visualmap_color_size_opacity():
scatter = Scatter(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
scatter.add_xaxis(x_data)
scatter.add_yaxis('', y_data)
# Define visual options using list, define dimension.
scatter.set_global_opts(visualmap_opts=[opts.VisualMapOpts(is_show=True, type_='size', dimension=2, pos_top='10%'),
opts.VisualMapOpts(is_show=True, type_='color', dimension=3, pos_top='40%'),
opts.VisualMapOpts(is_show=True, type_='opacity', dimension=4,
range_opacity=[0.2, 1], pos_top='70%')],
xaxis_opts=opts.AxisOpts(type_="value"))
return scatter
chart = scatter_with_visualmap_color_size_opacity()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = [random.randint(0, 100) for _ in range(30)]
y_data = [(random.randint(0, 100), random.randint(0, 100), random.randint(0, 100)) for _ in range(30)]
def scatter_with_custom_bgColor():
scatter = Scatter(
init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px',
# Define background color
bg_color='#008B8B'))
scatter.add_xaxis(x_data)
scatter.add_yaxis('', y_data)
# Define visual options using list, define dimension.
scatter.set_global_opts(visualmap_opts=[opts.VisualMapOpts(is_show=True, type_='size', dimension=2),
opts.VisualMapOpts(is_show=True, type_='color', dimension=3)],
xaxis_opts=opts.AxisOpts(type_="value"))
return scatter
chart = scatter_with_custom_bgColor()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/rectangular_charts?id=line%ef%bc%9a%e6%8a%98%e7%ba%bf%e9%9d%a2%e7%a7%af%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data_1 = ["2020/10/{}".format(i + 1) for i in range(30)]
x_data_2 = ["2019/10/{}".format(i + 1) for i in range(30)]
y_data_1 = [random.randint(10, 50) for _ in range(30)]
y_data_2 = [random.randint(20, 60) for _ in range(30)]
def line_with_two_xaxis():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data_1)
# Add a X-axis
line.extend_axis(xaxis_data=x_data_2, xaxis=opts.AxisOpts())
line.add_yaxis('Up X Axis', y_data_1)
line.add_yaxis('Down X Axis', y_data_2)
return line
chart = line_with_two_xaxis()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ['Banana', 'Pear', 'Peach', 'Orange', 'Watermellon', 'Apple']
y_data_1 = [random.randint(10, 50) for _ in range(len(x_data))]
y_data_2 = [random.randint(100, 500) for _ in range(len(x_data))]
def bar_line_combine_with_two_axis():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(x_data)
# Add a Y-axis
bar.extend_axis(yaxis=opts.AxisOpts())
bar.add_yaxis('Left Y Axis', y_data_1, yaxis_index=0)
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data)
# Assign line data to the second Y axis
line.add_yaxis('Right Y Axis', y_data_2, yaxis_index=1, itemstyle_opts=opts.ItemStyleOpts(color='red'))
bar.overlap(line)
return bar
chart = bar_line_combine_with_two_axis()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random values
y_data = [i + random.randint(10, 20) for i in range(len(x_data))]
def line_with_area():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data)
line.add_yaxis('', y_data)
# opacity default 0
line.set_series_opts(areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
return line
chart = line_with_area()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def line_stack_area():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(Faker.choose())
line.add_yaxis('A',
Faker.values(),
stack='stack')
line.add_yaxis('B',
Faker.values(),
stack='stack')
line.add_yaxis('C',
Faker.values(),
stack='stack')
# opacity default 0
line.set_series_opts(areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
return line
chart = line_stack_area()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def line_with_custom_linestyle():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(Faker.choose())
line.add_yaxis('Pattern 1',
Faker.values(),
linestyle_opts=opts.LineStyleOpts(width=5,
curve=0,
opacity=0.7,
type_='solid',
color='red')
)
line.add_yaxis('Pattern 2',
Faker.values(),
linestyle_opts=opts.LineStyleOpts(width=3,
curve=0.5,
opacity=0.9,
type_='dashed',
color='yellow')
)
line.add_yaxis('Pattern 3',
Faker.values(),
linestyle_opts=opts.LineStyleOpts(width=1,
curve=1,
opacity=0.5,
type_='dotted',
color='green')
)
return line
chart = line_with_custom_linestyle()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
line_style = {
'normal': {
'width': 4, # line width
'shadowColor': 'rgba(155, 18, 184, .3)', # shadow color
'shadowBlur': 10, # shadow size
'shadowOffsetY': 10, # Y Axis shadow offset
'shadowOffsetX': 10, # x Axis shadow offset
'curve': 0.5 # curve ratio
}
}
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random data
y_data_1 = [i + random.randint(10, 20) for i in range(len(x_data))]
y_data_2 = [i + random.randint(15, 25) for i in range(len(x_data))]
def line_with_shadow():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data)
line.add_yaxis("Android",
y_data_1,
is_symbol_show=False,
is_smooth=True,
# import line style parameters
linestyle_opts=line_style)
line.add_yaxis("IOS",
y_data_2,
is_symbol_show=False,
is_smooth=True,
# import line style parameters
linestyle_opts=line_style)
line.set_global_opts(title_opts=opts.TitleOpts(title="Terminal Daily Activity Trend"))
return line
chart = line_with_shadow()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def line_with_smooth_connect():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(Faker.choose())
# configure is_smooth=True for smooth curve
line.add_yaxis('Smooth Curve', Faker.values(), is_smooth=True)
line.add_yaxis('Straight Curve', Faker.values(), is_smooth=False)
return line
chart = line_with_smooth_connect()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random data
y_data = [i + random.randint(10, 20) for i in range(len(x_data))]
def line_with_custom_mark_point():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data)
line.add_yaxis('', y_data)
# Define mark point
line.set_series_opts(
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(name="Define mark point", coord=[x_data[2], y_data[2]], value=y_data[2])]
)
)
return line
chart = line_with_custom_mark_point()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import random
x_data = ["2020/10/{}".format(i + 1) for i in range(30)]
# Generate random data
y_data = [i + random.randint(10, 20) for i in range(len(x_data))]
def line_with_mark_area():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data)
line.add_yaxis('', y_data)
# Define mark area
line.set_series_opts(
markarea_opts=opts.MarkAreaOpts(
data=[
opts.MarkAreaItem(name="Golden Week", x=("2020/10/1", "2020/10/8"))
]
)
)
return line
chart = line_with_mark_area()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [0.98, 0.89, 0.92, 1.07, 0.81, 1.23]
js = """function (param) {return param.name +':'+ Math.floor(param.value[1])+'%';}"""
def line_with_per_show():
line = Line(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
line.add_xaxis(x_data)
# Multiple 100 on data before import
line.add_yaxis('', [round(v * 100, 0) for v in y_data])
# Execute js code to display %
line.set_series_opts(label_opts=opts.LabelOpts(is_show=True,
formatter=JsCode(js)))
return line
chart = line_with_per_show()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/rectangular_charts?id=pictorialbar%ef%bc%9a%e8%b1%a1%e5%bd%a2%e6%9f%b1%e7%8a%b6%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def pictorialbar_with_custom_symbol():
pictorialbar = PictorialBar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
pictorialbar.add_xaxis(Faker.choose())
pictorialbar.add_yaxis('A',
Faker.values(),
symbol_size=20,
# Define symbol
symbol='path://M100,0 L41.22,180.90 L195.10,69.09 L4.89,69.09 L158.77,180.90 z',
symbol_repeat="fixed",
is_symbol_clip=True
)
return pictorialbar
chart = pictorialbar_with_custom_symbol()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/basic_charts?id=liquid%ef%bc%9a%e6%b0%b4%e7%90%83%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
ios_icon = 'path://M24.734 17.003c-0.040-4.053 3.305-5.996 3.454-6.093-1.88-2.751-4.808-3.127-5.851-3.171-2.492-0.252-4.862 1.467-6.127 1.467-1.261 0-3.213-1.43-5.28-1.392-2.716 0.040-5.221 1.579-6.619 4.012-2.822 4.897-0.723 12.151 2.028 16.123 1.344 1.944 2.947 4.127 5.051 4.049 2.026-0.081 2.793-1.311 5.242-1.311s3.138 1.311 5.283 1.271c2.18-0.041 3.562-1.981 4.897-3.931 1.543-2.255 2.179-4.439 2.216-4.551-0.048-0.022-4.252-1.632-4.294-6.473zM20.705 5.11c1.117-1.355 1.871-3.235 1.665-5.11-1.609 0.066-3.559 1.072-4.713 2.423-1.036 1.199-1.942 3.113-1.699 4.951 1.796 0.14 3.629-0.913 4.747-2.264z'
def liquid_with_custom_shape():
liquid = Liquid(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
liquid.add('', [0.4, 0.5], shape=ios_icon)
return liquid
chart = liquid_with_custom_shape()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/basic_charts?id=calendar%ef%bc%9a%e6%97%a5%e5%8e%86%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
import datetime
# Covid data in US
data = [(datetime.datetime(2020, 1, 21, 0, 0), 1), (datetime.datetime(2020, 1, 22, 0, 0), 1),
(datetime.datetime(2020, 1, 23, 0, 0), 1), (datetime.datetime(2020, 1, 24, 0, 0), 2),
(datetime.datetime(2020, 1, 25, 0, 0), 2), (datetime.datetime(2020, 1, 26, 0, 0), 5),
(datetime.datetime(2020, 1, 27, 0, 0), 5), (datetime.datetime(2020, 1, 28, 0, 0), 5),
(datetime.datetime(2020, 1, 29, 0, 0), 5), (datetime.datetime(2020, 1, 30, 0, 0), 5),
(datetime.datetime(2020, 1, 31, 0, 0), 7), (datetime.datetime(2020, 2, 1, 0, 0), 8),
(datetime.datetime(2020, 2, 2, 0, 0), 8), (datetime.datetime(2020, 2, 3, 0, 0), 11),
(datetime.datetime(2020, 2, 4, 0, 0), 11), (datetime.datetime(2020, 2, 5, 0, 0), 11),
(datetime.datetime(2020, 2, 6, 0, 0), 11), (datetime.datetime(2020, 2, 7, 0, 0), 11),
(datetime.datetime(2020, 2, 8, 0, 0), 11), (datetime.datetime(2020, 2, 9, 0, 0), 11),
(datetime.datetime(2020, 2, 10, 0, 0), 11), (datetime.datetime(2020, 2, 11, 0, 0), 12),
(datetime.datetime(2020, 2, 12, 0, 0), 12), (datetime.datetime(2020, 2, 13, 0, 0), 13),
(datetime.datetime(2020, 2, 14, 0, 0), 13), (datetime.datetime(2020, 2, 15, 0, 0), 13),
(datetime.datetime(2020, 2, 16, 0, 0), 13), (datetime.datetime(2020, 2, 17, 0, 0), 13),
(datetime.datetime(2020, 2, 18, 0, 0), 13), (datetime.datetime(2020, 2, 19, 0, 0), 13),
(datetime.datetime(2020, 2, 20, 0, 0), 13), (datetime.datetime(2020, 2, 21, 0, 0), 15),
(datetime.datetime(2020, 2, 22, 0, 0), 15), (datetime.datetime(2020, 2, 23, 0, 0), 15),
(datetime.datetime(2020, 2, 24, 0, 0), 15), (datetime.datetime(2020, 2, 25, 0, 0), 15),
(datetime.datetime(2020, 2, 26, 0, 0), 15), (datetime.datetime(2020, 2, 27, 0, 0), 16),
(datetime.datetime(2020, 2, 28, 0, 0), 16), (datetime.datetime(2020, 2, 29, 0, 0), 24),
(datetime.datetime(2020, 3, 1, 0, 0), 30), (datetime.datetime(2020, 3, 2, 0, 0), 53),
(datetime.datetime(2020, 3, 3, 0, 0), 73), (datetime.datetime(2020, 3, 4, 0, 0), 104),
(datetime.datetime(2020, 3, 5, 0, 0), 174), (datetime.datetime(2020, 3, 6, 0, 0), 222),
(datetime.datetime(2020, 3, 7, 0, 0), 337), (datetime.datetime(2020, 3, 8, 0, 0), 451),
(datetime.datetime(2020, 3, 9, 0, 0), 519), (datetime.datetime(2020, 3, 10, 0, 0), 711),
(datetime.datetime(2020, 3, 11, 0, 0), 1109), (datetime.datetime(2020, 3, 12, 0, 0), 1561),
(datetime.datetime(2020, 3, 13, 0, 0), 2157), (datetime.datetime(2020, 3, 14, 0, 0), 2870),
(datetime.datetime(2020, 3, 15, 0, 0), 2968), (datetime.datetime(2020, 3, 16, 0, 0), 4360),
(datetime.datetime(2020, 3, 17, 0, 0), 6141), (datetime.datetime(2020, 3, 18, 0, 0), 8914),
(datetime.datetime(2020, 3, 19, 0, 0), 14153), (datetime.datetime(2020, 3, 20, 0, 0), 19479),
(datetime.datetime(2020, 3, 21, 0, 0), 25818), (datetime.datetime(2020, 3, 22, 0, 0), 33756),
(datetime.datetime(2020, 3, 23, 0, 0), 43845), (datetime.datetime(2020, 3, 24, 0, 0), 54108),
(datetime.datetime(2020, 3, 25, 0, 0), 66044), (datetime.datetime(2020, 3, 26, 0, 0), 84080),
(datetime.datetime(2020, 3, 27, 0, 0), 102254), (datetime.datetime(2020, 3, 28, 0, 0), 122054),
(datetime.datetime(2020, 3, 29, 0, 0), 141194), (datetime.datetime(2020, 3, 30, 0, 0), 162690),
(datetime.datetime(2020, 3, 31, 0, 0), 188701), (datetime.datetime(2020, 4, 1, 0, 0), 214194),
(datetime.datetime(2020, 4, 2, 0, 0), 244593), (datetime.datetime(2020, 4, 3, 0, 0), 276535),
(datetime.datetime(2020, 4, 4, 0, 0), 309699), (datetime.datetime(2020, 4, 5, 0, 0), 337573),
(datetime.datetime(2020, 4, 6, 0, 0), 367210), (datetime.datetime(2020, 4, 7, 0, 0), 397992),
(datetime.datetime(2020, 4, 8, 0, 0), 429686), (datetime.datetime(2020, 4, 9, 0, 0), 464442),
(datetime.datetime(2020, 4, 10, 0, 0), 497943), (datetime.datetime(2020, 4, 11, 0, 0), 527958),
(datetime.datetime(2020, 4, 12, 0, 0), 556517), (datetime.datetime(2020, 4, 13, 0, 0), 581810),
(datetime.datetime(2020, 4, 14, 0, 0), 608845), (datetime.datetime(2020, 4, 15, 0, 0), 637974),
(datetime.datetime(2020, 4, 16, 0, 0), 669272), (datetime.datetime(2020, 4, 17, 0, 0), 701996),
(datetime.datetime(2020, 4, 18, 0, 0), 730317), (datetime.datetime(2020, 4, 19, 0, 0), 756375),
(datetime.datetime(2020, 4, 20, 0, 0), 783716), (datetime.datetime(2020, 4, 21, 0, 0), 809213),
(datetime.datetime(2020, 4, 22, 0, 0), 837414), (datetime.datetime(2020, 4, 23, 0, 0), 871617),
(datetime.datetime(2020, 4, 24, 0, 0), 907908), (datetime.datetime(2020, 4, 25, 0, 0), 940829),
(datetime.datetime(2020, 4, 26, 0, 0), 968517), (datetime.datetime(2020, 4, 27, 0, 0), 990993),
(datetime.datetime(2020, 4, 28, 0, 0), 1015518), (datetime.datetime(2020, 4, 29, 0, 0), 1042926),
(datetime.datetime(2020, 4, 30, 0, 0), 1072667)]
def calendar_custom_cell():
calendar = Calendar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
calendar.add('Positive Cases',
yaxis_data=data,
label_opts=opts.LabelOpts(is_show=True),
calendar_opts=opts.CalendarOpts(
# Calendar position
pos_top='10%',
pos_left='10%',
# Calendar range
range_=['2020-01-21', '2020-04-30'],
# Calendar cell size
cell_size=50,
# Year Month Day Format
yearlabel_opts=opts.CalendarYearLabelOpts(margin=40,
label_font_size=20,
label_color='rgba(130,134,112,0.8)'),
daylabel_opts=opts.CalendarDayLabelOpts(label_color='#778633', label_font_weight='bold'),
monthlabel_opts=opts.CalendarMonthLabelOpts(label_color='#778633', label_font_weight='bold')
)
)
# Configure visual options
calendar.set_global_opts(visualmap_opts=opts.VisualMapOpts(
max_=1000000,
is_piecewise=True,
pieces=[{"min": 1000000},
{"min": 10000, "max": 1000000},
{"min": 100, "max": 10000},
{"max": 100}],
range_color=["#CCD3D9", "#E6B6C2", "#D4587A", "#DC364C"]
))
return calendar
chart = calendar_custom_cell()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
import datetime
# Covid data in US
data = [(datetime.datetime(2020, 1, 21, 0, 0), 1), (datetime.datetime(2020, 1, 22, 0, 0), 1),
(datetime.datetime(2020, 1, 23, 0, 0), 1), (datetime.datetime(2020, 1, 24, 0, 0), 2),
(datetime.datetime(2020, 1, 25, 0, 0), 2), (datetime.datetime(2020, 1, 26, 0, 0), 5),
(datetime.datetime(2020, 1, 27, 0, 0), 5), (datetime.datetime(2020, 1, 28, 0, 0), 5),
(datetime.datetime(2020, 1, 29, 0, 0), 5), (datetime.datetime(2020, 1, 30, 0, 0), 5),
(datetime.datetime(2020, 1, 31, 0, 0), 7), (datetime.datetime(2020, 2, 1, 0, 0), 8),
(datetime.datetime(2020, 2, 2, 0, 0), 8), (datetime.datetime(2020, 2, 3, 0, 0), 11),
(datetime.datetime(2020, 2, 4, 0, 0), 11), (datetime.datetime(2020, 2, 5, 0, 0), 11),
(datetime.datetime(2020, 2, 6, 0, 0), 11), (datetime.datetime(2020, 2, 7, 0, 0), 11),
(datetime.datetime(2020, 2, 8, 0, 0), 11), (datetime.datetime(2020, 2, 9, 0, 0), 11),
(datetime.datetime(2020, 2, 10, 0, 0), 11), (datetime.datetime(2020, 2, 11, 0, 0), 12),
(datetime.datetime(2020, 2, 12, 0, 0), 12), (datetime.datetime(2020, 2, 13, 0, 0), 13),
(datetime.datetime(2020, 2, 14, 0, 0), 13), (datetime.datetime(2020, 2, 15, 0, 0), 13),
(datetime.datetime(2020, 2, 16, 0, 0), 13), (datetime.datetime(2020, 2, 17, 0, 0), 13),
(datetime.datetime(2020, 2, 18, 0, 0), 13), (datetime.datetime(2020, 2, 19, 0, 0), 13),
(datetime.datetime(2020, 2, 20, 0, 0), 13), (datetime.datetime(2020, 2, 21, 0, 0), 15),
(datetime.datetime(2020, 2, 22, 0, 0), 15), (datetime.datetime(2020, 2, 23, 0, 0), 15),
(datetime.datetime(2020, 2, 24, 0, 0), 15), (datetime.datetime(2020, 2, 25, 0, 0), 15),
(datetime.datetime(2020, 2, 26, 0, 0), 15), (datetime.datetime(2020, 2, 27, 0, 0), 16),
(datetime.datetime(2020, 2, 28, 0, 0), 16), (datetime.datetime(2020, 2, 29, 0, 0), 24),
(datetime.datetime(2020, 3, 1, 0, 0), 30), (datetime.datetime(2020, 3, 2, 0, 0), 53),
(datetime.datetime(2020, 3, 3, 0, 0), 73), (datetime.datetime(2020, 3, 4, 0, 0), 104),
(datetime.datetime(2020, 3, 5, 0, 0), 174), (datetime.datetime(2020, 3, 6, 0, 0), 222),
(datetime.datetime(2020, 3, 7, 0, 0), 337), (datetime.datetime(2020, 3, 8, 0, 0), 451),
(datetime.datetime(2020, 3, 9, 0, 0), 519), (datetime.datetime(2020, 3, 10, 0, 0), 711),
(datetime.datetime(2020, 3, 11, 0, 0), 1109), (datetime.datetime(2020, 3, 12, 0, 0), 1561),
(datetime.datetime(2020, 3, 13, 0, 0), 2157), (datetime.datetime(2020, 3, 14, 0, 0), 2870),
(datetime.datetime(2020, 3, 15, 0, 0), 2968), (datetime.datetime(2020, 3, 16, 0, 0), 4360),
(datetime.datetime(2020, 3, 17, 0, 0), 6141), (datetime.datetime(2020, 3, 18, 0, 0), 8914),
(datetime.datetime(2020, 3, 19, 0, 0), 14153), (datetime.datetime(2020, 3, 20, 0, 0), 19479),
(datetime.datetime(2020, 3, 21, 0, 0), 25818), (datetime.datetime(2020, 3, 22, 0, 0), 33756),
(datetime.datetime(2020, 3, 23, 0, 0), 43845), (datetime.datetime(2020, 3, 24, 0, 0), 54108),
(datetime.datetime(2020, 3, 25, 0, 0), 66044), (datetime.datetime(2020, 3, 26, 0, 0), 84080),
(datetime.datetime(2020, 3, 27, 0, 0), 102254), (datetime.datetime(2020, 3, 28, 0, 0), 122054),
(datetime.datetime(2020, 3, 29, 0, 0), 141194), (datetime.datetime(2020, 3, 30, 0, 0), 162690),
(datetime.datetime(2020, 3, 31, 0, 0), 188701), (datetime.datetime(2020, 4, 1, 0, 0), 214194),
(datetime.datetime(2020, 4, 2, 0, 0), 244593), (datetime.datetime(2020, 4, 3, 0, 0), 276535),
(datetime.datetime(2020, 4, 4, 0, 0), 309699), (datetime.datetime(2020, 4, 5, 0, 0), 337573),
(datetime.datetime(2020, 4, 6, 0, 0), 367210), (datetime.datetime(2020, 4, 7, 0, 0), 397992),
(datetime.datetime(2020, 4, 8, 0, 0), 429686), (datetime.datetime(2020, 4, 9, 0, 0), 464442),
(datetime.datetime(2020, 4, 10, 0, 0), 497943), (datetime.datetime(2020, 4, 11, 0, 0), 527958),
(datetime.datetime(2020, 4, 12, 0, 0), 556517), (datetime.datetime(2020, 4, 13, 0, 0), 581810),
(datetime.datetime(2020, 4, 14, 0, 0), 608845), (datetime.datetime(2020, 4, 15, 0, 0), 637974),
(datetime.datetime(2020, 4, 16, 0, 0), 669272), (datetime.datetime(2020, 4, 17, 0, 0), 701996),
(datetime.datetime(2020, 4, 18, 0, 0), 730317), (datetime.datetime(2020, 4, 19, 0, 0), 756375),
(datetime.datetime(2020, 4, 20, 0, 0), 783716), (datetime.datetime(2020, 4, 21, 0, 0), 809213),
(datetime.datetime(2020, 4, 22, 0, 0), 837414), (datetime.datetime(2020, 4, 23, 0, 0), 871617),
(datetime.datetime(2020, 4, 24, 0, 0), 907908), (datetime.datetime(2020, 4, 25, 0, 0), 940829),
(datetime.datetime(2020, 4, 26, 0, 0), 968517), (datetime.datetime(2020, 4, 27, 0, 0), 990993),
(datetime.datetime(2020, 4, 28, 0, 0), 1015518), (datetime.datetime(2020, 4, 29, 0, 0), 1042926),
(datetime.datetime(2020, 4, 30, 0, 0), 1072667)]
def calendar_in_Chinese():
calendar = Calendar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
calendar.add('确诊人数',
yaxis_data=data,
label_opts=opts.LabelOpts(is_show=True),
calendar_opts=opts.CalendarOpts(
# Calendar range
range_=['2020-01-21', '2020-04-30'],
# Calendar cell size
cell_size=50,
# Year Month Day Format
# Display Chinese for day and month label, default is English.
yearlabel_opts=opts.CalendarYearLabelOpts(margin=50),
daylabel_opts=opts.CalendarDayLabelOpts(name_map='cn'),
monthlabel_opts=opts.CalendarMonthLabelOpts(name_map='cn')
)
)
# Configure visual map
calendar.set_global_opts(visualmap_opts=opts.VisualMapOpts(
max_=1000000,
is_piecewise=True,
pieces=[{"min": 1000000},
{"min": 10000, "max": 1000000},
{"min": 100, "max": 10000},
{"max": 100}],
range_color=["#CCD3D9", "#E6B6C2", "#D4587A", "#DC364C"]
))
return calendar
chart = calendar_in_Chinese()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/geography_charts
from pyecharts.charts import *
from pyecharts import options as opts
def geo_add_custom_coordinate():
geo = Geo(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
# Add coordinates
geo.add_coordinate('x', 116.397428, 39.90923)
geo.add_coordinate('y', 112.398615, 29.91659)
geo.add_schema(maptype="china")
geo.add("", [('x', 1), ('y', 2)])
return geo
chart = geo_add_custom_coordinate()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.datasets import register_url
import ssl
def geo_foreign_country():
# Add other countries' map
# noinspection PyBroadException
try:
register_url("https://echarts-maps.github.io/echarts-countries-js/")
except Exception:
ssl._create_default_https_context = ssl._create_unverified_context
register_url("https://echarts-maps.github.io/echarts-countries-js/")
geo = Geo(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
geo.add_schema(maptype="美国")
return geo
chart = geo_foreign_country()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
def geo_effect_scatter():
geo = Geo(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
geo.add_schema(maptype="china")
geo.add("",
[("广州", 150), ("北京", 70), ("长沙", 64), ("上海", 74), ("厦门", 63)],
# Effect Scatter type
type_='effectScatter')
return geo
chart = geo_effect_scatter()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
def geo_heatmap():
geo = Geo(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
geo.add_schema(maptype="china")
geo.add("",
[("广州", 150), ("北京", 70), ("深圳", 64), ("上海", 74), ("杭州", 63)],
type_='heatmap')
# Heatmap needs visualmap_opts
geo.set_global_opts(visualmap_opts=opts.VisualMapOpts())
return geo
chart = geo_heatmap()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
def geo_lines():
geo = Geo(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
geo.add_schema(maptype="china")
geo.add("Departure Guangzhou",
# format（from， to）
[("广州", "上海"), ("广州", "北京"), ("广州", "西宁"), ("广州", "重庆")],
type_='lines')
geo.add("Departure Chengdu",
# format（from， to）
[("成都", '长沙'), ("成都", "武汉"), ("成都", "长春"), ("成都", "南京")],
type_='lines')
return geo
chart = geo_lines()
chart.render_notebook()
More details to follow:
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def pie_custom_radius():
pie = Pie(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
pie.add("",
[list(z) for z in zip(Faker.choose(), Faker.values())],
# Define radius，0%-100%
radius=["40%", "75%"])
return pie
chart = pie_custom_radius()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def pie_with_custom_label():
pie = Pie(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
pie.add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
pie.set_series_opts(
# Define data label
label_opts=opts.LabelOpts(position='top',
color='red',
font_family='Arial',
font_size=12,
font_style='italic',
interval=1,
formatter='{b}:{d}%'
)
)
return pie
chart = pie_with_custom_label()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def pie_multiple():
pie = Pie(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='800px'))
pie.add("",
[list(z) for z in zip(Faker.choose(), Faker.values())],
radius=["20%", "50%"],
center=["25%", "50%"])
# Add another Pie chart
pie.add("",
[list(z) for z in zip(Faker.choose(), Faker.values())],
radius=["20%", "50%"],
center=["75%", "50%"])
return pie
chart = pie_multiple()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/basic_charts?id=wordcloud%ef%bc%9a%e8%af%8d%e4%ba%91%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
import random
text = """
I used to rule the world
Seas would rise when I gave the word
Now in the morning I sleep alone
Sweep the streets I used to own
I used to roll the dice
Feel the fear in my enemy eyes
Listen as the crowd would sing
Now the old king is dead
Long live the king
One minute I held the key
Next the walls were closed on me
And I discovered that my castles stand
Upon pillars of salt and pillars of sand
I hear Jerusalem bells are ringing
Roman Cavalry choirs are singing
Be my mirror my sword and shield
My missionaries in a foreign field
For some reason I can't explain
Once you go there was never
Never an honest word
That was when I ruled the world
"""
word_list = set(text.split(' '))
words = [(word, random.randint(1, 100)) for word in word_list]
def wordcloud_custom_word_size():
wordcloud = WordCloud(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
wordcloud.add('',
words,
# Define word size range
word_size_range=[10, 50])
return wordcloud
chart = wordcloud_custom_word_size()
chart.render_notebook()
More details to follow: https://pyecharts.org/#/zh-cn/geography_charts?id=map%ef%bc%9a%e5%9c%b0%e5%9b%be
from pyecharts.charts import *
from pyecharts import options as opts
data = [('广东省', 10430),
('山东省', 9579),
('河南省', 9402),
('四川省', 8041),
('江苏省', 7866),
('河北省', 7185),
('湖南省', 6568),
('安徽省', 5950),
('湖北省', 5724),
('浙江省', 5442),
('广西壮族自治区', 4603),
('云南省', 4597),
('江西省', 4457),
('辽宁省', 4375),
('黑龙江省', 3831),
('陕西省', 3733),
('山西省', 3571),
('福建省', 3552),
('贵州省', 3477),
('重庆市', 2884),
('吉林省', 2746),
('甘肃省', 2557),
('内蒙古自治区', 2471),
('台湾省', 2316),
('上海市', 2301),
('新疆维吾尔自治区', 2181),
('北京市', 1961),
('天津市', 1294),
('海南省', 867),
('香港特别行政区', 710),
('宁夏回族自治区', 630),
('青海省', 562),
('西藏自治区', 300),
('澳门特别行政区', 55)]
def map_with_viusalmap():
map_chart = Map(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
map_chart.add('Population（100K）',
data_pair=data,
maptype='china',
is_map_symbol_show=False)
map_chart.set_global_opts(visualmap_opts=opts.VisualMapOpts(
max_=10430,
is_piecewise=True,
range_color=["#CCD3D9", "#E6B6C2", "#D4587A", "#DC364C"]
))
return map_chart
chart = map_with_viusalmap()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def page_simple_layout():
# Chart 1
bar_1 = Bar(init_opts=opts.InitOpts(theme='light',
width='500px',
height='300px'))
bar_1.add_xaxis(Faker.choose())
bar_1.add_yaxis('A', Faker.values())
bar_1.add_yaxis('B', Faker.values())
# Chart 2
bar_2 = Bar(init_opts=opts.InitOpts(theme='light',
width='500px',
height='300px'))
bar_2.add_xaxis(Faker.choose())
bar_2.add_yaxis('A', Faker.values())
# X, Y Axis flirt
bar_2.reversal_axis()
# Chart 3
line = Line(init_opts=opts.InitOpts(theme='light',
width='500px',
height='300px'))
line.add_xaxis(Faker.choose())
line.add_yaxis('A', Faker.values())
line.add_yaxis('B', Faker.values())
# Chart 4
pie = Pie(init_opts=opts.InitOpts(theme='light',
width='500px',
height='300px'))
pie.add("",
[list(z) for z in zip(Faker.choose(), Faker.values())],
radius=["40%", "75%"])
page = Page(layout=Page.SimplePageLayout)
# The position can be adjusted
page.add(bar_1, bar_2, line, pie)
return page
chart = page_simple_layout()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def tab_with_multiple_chart():
# Chart 1
bar = Bar()
bar.add_xaxis(Faker.choose())
bar.add_yaxis("商家A", Faker.values())
bar.add_yaxis("商家B", Faker.values())
# Chart 2
line = Line()
line.add_xaxis(Faker.choose())
line.add_yaxis("商家A", Faker.values())
line.add_yaxis("商家B", Faker.values())
# Combine Chart 1 and Chart 2 using Grid
grid = Grid()
grid.add(bar, grid_opts=opts.GridOpts(pos_bottom="60%"))
grid.add(line, grid_opts=opts.GridOpts(pos_top="60%"))
# add Grid to Tab
tab = Tab()
tab.add(grid, 'Example')
return tab
chart = tab_with_multiple_chart()
chart.render_notebook()
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.faker import Faker
def timeline_auto_play():
timeline = Timeline(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
timeline.add_schema(is_auto_play=True, # Auto Play
is_loop_play=True # Loop Play
)
for year in range(2000, 2020):
bar = Bar()
bar.add_xaxis(['香蕉', '梨子', '水蜜桃', '核桃', '西瓜', '苹果', '菠萝'])
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
timeline.add(bar, '{}年'.format(year))
return timeline
chart = timeline_auto_play()
chart.render_notebook()