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This article mainly explains "how to use Python to draw a column chart", the content of the article is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "how to use Python to draw a column chart"!

Bar = (Bar () .add _ xaxis (x_vals) .add _ yaxis ("Guangzhou stores", [random.randint (10,100) for _ in range (6)]) .add _ yaxis ("Zhongshan stores", [random.randint (10,100) for _ in range (6)]) .add _ yaxis ("Shenzhen stores", [random.randint (10,100) for _ in range (6)]) .add _ yaxis ("Dongguan stores") [random.randint (10,100) for _ in range (6)] .set _ series_opts (label_opts=opts.LabelOpts (is_show=True, font_size=14), markline_opts=opts.MarkLineOpts (data= [opts.MarkLineItem (yearly 40, name= "line of attainment = 40")) .set _ global_opts (title_opts=opts.TitleOpts (title=' actual sales amount', subtitle= "QDM") Xaxis_opts=opts.AxisOpts (name=' goods'), yaxis_opts=opts.AxisOpts (name=' units: ten thousand yuan')) # bar.render ('bar chart .html') # or bar.render_notebook ()

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Goods = ["vegetables", "fruit", "pork", "e-commerce", "comprehensive", "aquatic products"] bar = (Bar () .add _ xaxis (goods) .add _ yaxis ('supplier Agar, [random.randint (10,100) for _ in range (6)], stack='stack1') .add _ yaxis (' supplier Baker, [random.randint (10,100) for _ in range (6)] Stack='stack1') .add _ yaxis ('supplier clients, [random.randint (10,100) for _ in range (6)], stack='stack1') .set _ series_opts (label_opts=opts.LabelOpts (is_show=False)) .set _ global_opts (title_opts=opts.TitleOpts (title= "actual sales quantity"), xaxis_opts=opts.AxisOpts (name= "category") Yaxis_opts=opts.AxisOpts (name= "sales volume (unit: unit)") # bar.render ('columnar stack chart .html') # or bar.render_notebook ()

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# Bar chart x_vals1 = ["White Pomfret", "Little Oyster", "saury", "Spring Fish", "South Pomfret", "Sea Sanbao"] x_vals2 = ["Silver Fish", "Shrimp", "Sand Carp", "Mud fierce", "abalone"] x_vals3 = ["crucian carp", "Wuchang fish", "white flower fish", "sea bass", "eyebrow grass carp" "Aconitum"] # change the simulated random number into a list form And in ascending order, y_vals = [1 x_vals1 2 x_vals2 3 4 5, 6 7, 8 9, 10 11, 13 15 16 18] bar = Bar (). Add_xaxis (x_vals1 + x_vals2 + x_vals3) bar.add_yaxis ("quality control discount acceptance item", y_vals, markpoint_opts=opts.MarkPointOpts (data= [opts.MarkPointItem (type_='average'), opts.MarkPointItem (type_='max')) Opts.MarkPointItem (type_='min')], symbol_size=80)) bar.set_series_opts (label_opts=opts.LabelOpts (is_show=True) Position= "right") # items are more attractive than bars bar.set_global_opts (title_opts=opts.TitleOpts (title= "number of discounted items", subtitle= "mail")) bar.reversal_axis () # Flip the XY axis Convert a bar chart to a bar chart # bar.render ('bar chart .html') # or bar.render_notebook ()

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# Bar chart # merge three lists into one list-> Ctrl+H, Windows+10, "," > needed in Excel

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# Bar chart (pure version) # merge three lists into one list-> Ctrl+H and Windows+10 in Excel Keyboard shortcut x_vals1 = ["White Pomfret", "Little Oyster", "saury", "Spring Fish", "South Pomfret", "Sea Sanbao", "Silver Fish", "Kei Wai Shrimp", "Sand Carp", "Mud fierce", "abalone", "Carassius auratus", "Wuchang Fish", "White Flower Fish", "Sea perch", "eyebrow Grass Carp" "Aconitum"] # change the simulated random number into a list form In ascending order, y_vals = [1 x_vals1 2, 3 4, 5 5, 6, 7, 8, 9, 10, 11, 13, 15, 15, 17, 18] bar = Bar (). Add_xaxis (x_vals1) bar.add_yaxis ("quality control discount acceptance item", y_vals,) bar.set_series_opts (label_opts=opts.LabelOpts (is_show=True) Position= "right") # items are more attractive than bars bar.set_global_opts (title_opts=opts.TitleOpts (title= "number of discounted items", subtitle= "mail")) bar.reversal_axis () # Flip the XY axis Convert a bar chart to a bar chart # bar.render ('bar chart .html') # or bar.render_notebook ()

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Thank you for your reading, the above is the content of "how to draw a column chart with Python". After the study of this article, I believe you have a deeper understanding of how to draw a column chart with Python, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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