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This article mainly introduces the Python pyecharts how to draw a bar chart, the article is very detailed, has a certain reference value, interested friends must read it!

First, a brief introduction to the syntax of pyecharts bar chart drawing.

A column / bar chart that represents the size of the data by the height of the column / the width of the bar.

Bar.add () method signature:

Add (name, x_axis, y_axis

Is_stack=False

Bar_category_gap='20%', * * kwargs)

Name- > str legend name

X axis data-> list x axis data

Y axis-> list y axis data

Is_stack- > bool data stack. Stack values with the same series configuration on the same category axis can be stacked.

Bar_category_gap- > the column distance of the int/str axis, which is next to the column when set to 0 (histogram type). The default is'20%'.

The value of mark_point marked point is: average min max

The value of mark_line tag line is: average min max

Is_convert=True x-axis and y-axis exchange

Is_label_show=True display data label

Xaxis_rotate=30, yaxis_rotate=30 rotation x-axis or y-axis label

Label_color sets the column color

Second, draw an ordinary bar chart

From pyecharts import Bar#Note: the global configuration item should be set on the last add (), otherwise the side setting will be washed out. Attr = ["shirt", "cardigan", "chiffon shirt", "trousers", "high heels", "socks", "mattress"] v1 = [5, 20, 36, 10, 75, 90, 30] v2 = [10, 25, 8, 60, 20, 80, 50] bar = Bar ("sample stacking of bar chart data") # sets the title bar.add ("Merchant A", attr, v1 markmarks point = ["average"] Is_label_show=True) bar.add ("merchant B", attr, v2 min markup line = ["min", "max"], is_label_show=True) bar.render (ritual C:\ Users\ ASUS\ Desktop\ restart\ Python use pyecharts drawing\ bar chart 1.html') # generate HTML file

Third, draw a stacked column chart

From pyecharts import Bar#Note: the global configuration item should be set on the last add (), otherwise the side setting will be washed out. # is_stack- > bool data Stack Attr = [shirts "," woolen sweaters "," chiffon shirts "," trousers "," high heels "," socks "," mattresses "] v1 = [5, 20, 36, 10, 75, 90, 30] v2 = [10, 25, 8, 60, 20, 80] can be stacked with the same stack values on the same axis. 50] bar = Bar ("histogram data stacking example") # set the title bar.add ("Merchant A", attr, v1 Markmark pointpoint = ["average"], is_label_show=True,is_stack=True) bar.add ("Merchant B", attr, v2 Markmark line = ["min", "max"], is_label_show=True Is_stack=True) bar.render (ritual C:\ Users\ ASUS\ Desktop\ restart\ Python use pyecharts drawing\ bar chart 1.html') # generate the HTML file

Fourth, draw a horizontal column chart

From pyecharts import Bar#is_convert=True x-axis and y-axis exchange # Note: the global configuration item should be set on the last add (), otherwise the side setting will be washed out. Attr = ["shirt", "cardigan", "chiffon shirt", "trousers", "high heels", "socks", "mattress"] v1 = [5, 20, 36, 10, 75, 90, 30] v2 = [10, 25, 8, 60, 20, 80, 50] bar = Bar ("sample stacking of bar chart data") # sets the title bar.add ("Merchant A", attr, v1 markmarks point = ["average"], is_label_show=True Is_convert=True) bar.add ("merchant B", attr, v2 min markup line = ["min", "max"], is_label_show=True,is_convert=True) bar.render (ritual C:\ Users\ ASUS\ Desktop\ restart\ Python use pyecharts drawing\ bar chart 1.html') # generate HTML file

5. Pyecharts bar chart datazoom case

6. I put together the code corresponding to the datazoom case of pyecharts bar chart with page.

# coding=utf-8from _ _ future__ import unicode_literalsfrom pyecharts import Barfrom pyecharts import Pageimport randompage = Page () # dataZoom effect, 'slider' type attr = ["{} days" .format (I) for i in range (30)] v1 = [random.randint (1,30) for _ in range (30)] bar = Bar ("Bar-datazoom-slider example") bar.add (", attr, v1, is_label_show=True, is_datazoom_show=True,xaxis_rotate=30, yaxis_rotate=30) page.add (bar) # dataZoom effect 'inside' type attr = ["{} days" .format (I) for i in range (30)] v1 = [random.randint (1,30) for _ in range (30)] bar2 = Bar ("Bar-datazoom-inside example") bar2.add (", attr, v1, is_datazoom_show=True, datazoom_type=" inside ", datazoom_range= [1,50],) page.add (bar2) # dataZoom effect 'both' type attr = ["{} days" .format (I) for i in range (30)] v1 = [random.randint (1,30) for _ in range (30)] bar3 = Bar ("Bar-datazoom-both example") bar3.add (", attr, v1, is_datazoom_show=True, datazoom_type=" both ", datazoom_range= [1,40] Label_color= ["# 749f83"]) page.add (bar3) days = ["{} days" .format (I) for i in range (30)] days_v1 = [random.randint (1,30) for _ in range (30)] bar4 = Bar ("Bar-datazoom-xaxis/yaxis example") bar4.add ("", days, days_v1, # defaults to X axis Horizontal is_datazoom_show=True, datazoom_type= "slider", datazoom_range= [1,50], # add additional dataZoom control bar Vertical is_datazoom_extra_show=True, datazoom_extra_type= "slider", datazoom_extra_range= [1,50], is_toolbox_show=False,) page.add (bar4) page.render (ritual C:\ Users\ ASUS\ Desktop\ restart\ Python draw with pyecharts\ histogram 1.html') above are all the contents of this article "how to draw a histogram in Python". Thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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