How to use Python echarts to realize data Visualization

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1. Overview

Pyecharts is Baidu open source, suitable for data visualization tools, flexible configuration, display charts are relatively beautiful, smooth.

two。 Installation

Installation in python3 environment:

Pip3 install pyecharts3. Data visualization code 3.1histogram from pyecharts import options as optsfrom pyecharts.charts import Barfrom pyecharts.faker import Fakerc = (Bar () .add _ xaxis (Faker.choose ()) .add _ yaxis ("merchant A", Faker.values (), stack= "stack1") .add _ yaxis ("merchant B", Faker.values ()) Stack= "stack1") .set _ series_opts (label_opts=opts.LabelOpts (is_show=False)) .set _ global_opts (title_opts=opts.TitleOpts (title= "Bar- stacked data (all) .render (" bar_stack0.html "))

Executing the above code generates a mycharts.html file in the relative directory and opens it through the page.

3.2 Line chart import pyecharts.options as optsfrom pyecharts.charts import Line "" Gallery uses pyecharts 1.1.0 reference address: functions currently not available in https://echarts.apache.org/examples/editor.html?c=line-smooth: "" x_data = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"] y_data = [820,932,901,934, 1290, 1330 1320] (Line () .set _ global_opts (tooltip_opts=opts.TooltipOpts (is_show=False), xaxis_opts=opts.AxisOpts (type_= "category"), yaxis_opts=opts.AxisOpts (type_= "value", axistick_opts=opts.AxisTickOpts (is_show=True), splitline_opts=opts.SplitLineOpts (is_show=True),) ) .add _ xaxis (xaxis_data=x_data) .add _ yaxis (series_name= ", y_axis=y_data, symbol=" emptyCircle ", is_symbol_show=True, is_smooth=True, label_opts=opts.LabelOpts (is_show=False),) .render (" smoothed_line_chart.html "))

From pyecharts import options as optsfrom pyecharts.charts import Piefrom pyecharts.faker import Fakerc = (Pie () .add ("", [list (z) for z in zip (Faker.choose (), Faker.values ())], radius= ["40%", "75"],) .set _ global_opts (title_opts=opts.TitleOpts (title= "Pie-Radius"), legend_opts=opts.LegendOpts (orient= "vertical") Pos_top= "15%", pos_left= "2%"),) .set _ series_opts (label_opts=opts.LabelOpts (formatter= "{b}: {c}")) .render ("pie_radius.html"))

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