Pyecharts是一個用于生成 Echarts 圖表的 Python 庫。Echarts 是一個基于 JavaScript 的數據可視化庫，提供了豐富的圖表類型和交互功能。通過 Pyecharts，你可以使用 Python 代碼生成各種類型的 Echarts 圖表，例如折線圖、柱狀圖、餅圖、散點圖等。

Pyecharts 提供了許多方便的 API 和方法，可以讓你輕松地創建和定制自己的圖表。以下是一些常用的 Pyecharts 方法：

Bar()：用于創建柱狀圖

Line()：用于創建折線圖

Pie()：用于創建餅圖

Scatter()：用于創建散點圖

Option()：用于設置圖表選項

render()：用于生成 HTML 文件并打開圖表

01百分比源碼如下

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.commons.utils import JsCode
from pyecharts.globals import ThemeType#兩組數據
list2 = [{"value": 12, "percent": 12 / (12 + 3)},{"value": 23, "percent": 23 / (23 + 21)},{"value": 33, "percent": 33 / (33 + 5)},{"value": 3, "percent": 3 / (3 + 52)},{"value": 33, "percent": 33 / (33 + 43)},
]list3 = [{"value": 3, "percent": 3 / (12 + 3)},{"value": 21, "percent": 21 / (23 + 21)},{"value": 5, "percent": 5 / (33 + 5)},{"value": 52, "percent": 52 / (3 + 52)},{"value": 43, "percent": 43 / (33 + 43)},
]c = (Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)).add_xaxis([1, 2, 3, 4, 5]).add_yaxis("product1", list2, stack="stack1", category_gap="50%").add_yaxis("product2", list3, stack="stack1", category_gap="50%").set_series_opts(label_opts=opts.LabelOpts(position="right",formatter=JsCode("function(x){return Number(x.data.percent * 100).toFixed() + '%';}"),)).render("stack_bar_percent.html")
)

02源碼示例

from pyecharts import options as opts
from pyecharts.charts import Barc = (Bar().add_xaxis(["名字很長的X軸標簽1","名字很長的X軸標簽2","名字很長的X軸標簽3","名字很長的X軸標簽4","名字很長的X軸標簽5","名字很長的X軸標簽6",]).add_yaxis("商家A", [10, 20, 30, 40, 50, 40]).add_yaxis("商家B", [20, 10, 40, 30, 40, 50]).set_global_opts(xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),title_opts=opts.TitleOpts(title="Bar-旋轉X軸標簽", subtitle="解決標簽名字過長的問題"),).render("bar_rotate_xaxis_label.html")
)

03源碼示例

import pyecharts.options as opts
from pyecharts.charts import Bar, Linex_data = ["1月", "2月", "3月", "4月", "5月", "6月", "7月", "8月", "9月", "10月", "11月", "12月"]bar = (Bar().add_xaxis(xaxis_data=x_data).add_yaxis(series_name="蒸發量",y_axis=[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3],label_opts=opts.LabelOpts(is_show=False),).add_yaxis(series_name="降水量",y_axis=[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3],label_opts=opts.LabelOpts(is_show=False),).extend_axis(yaxis=opts.AxisOpts(name="溫度",type_="value",min_=0,max_=25,interval=5,axislabel_opts=opts.LabelOpts(formatter="{value} °C"),)).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="水量",type_="value",min_=0,max_=250,interval=50,axislabel_opts=opts.LabelOpts(formatter="{value} ml"),axistick_opts=opts.AxisTickOpts(is_show=True),splitline_opts=opts.SplitLineOpts(is_show=True),),)
)line = (Line().add_xaxis(xaxis_data=x_data).add_yaxis(series_name="平均溫度",yaxis_index=1,y_axis=[2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2],label_opts=opts.LabelOpts(is_show=False),)
)bar.overlap(line).render("mixed_bar_and_line.html")

04示例源碼

from pyecharts.charts import Bar
from pyecharts import options as optsx_data = [f"11月{str(i)}日" for i in range(1, 12)]
y_total = [0, 900, 1245, 1530, 1376, 1376, 1511, 1689, 1856, 1495, 1292]
y_in = [900, 345, 393, "-", "-", 135, 178, 286, "-", "-", "-"]
y_out = ["-", "-", "-", 108, 154, "-", "-", "-", 119, 361, 203]bar = (Bar().add_xaxis(xaxis_data=x_data).add_yaxis(series_name="",y_axis=y_total,stack="總量",itemstyle_opts=opts.ItemStyleOpts(color="rgba(0,0,0,0)"),).add_yaxis(series_name="收入", y_axis=y_in, stack="總量").add_yaxis(series_name="支出", y_axis=y_out, stack="總量").set_global_opts(yaxis_opts=opts.AxisOpts(type_="value")).render("bar_waterfall_plot.html")
)