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Today I will show you how to draw a pictographic bar chart by Python Pyecharts. The content of the article is good. Now I would like to share it with you. Friends who feel in need can understand it. I hope it will be helpful to you. Let's read it along with the editor's ideas.

In the process of visual display, in order to achieve a more vivid display effect, we often need to customize some intuitive legends. Let's introduce the pictographs in the visualization library Pyecharts. I hope it will be helpful to you.

1. Preparation 1.1Import module from pyecharts import options as optsfrom pyecharts.charts import PictorialBarfrom pyecharts.globals import SymbolType

If you don't have pyecharts installed, just install pip.

1.2 partial parameter def add_yaxis (# series name series_name: str, # series data y_axis: Sequence, # graphic type symbol: Optional [str] = None, # graphic size symbol_size: Union [Numeric, Sequence, None] = None, # graphic location symbol_pos: Optional [str] = None # offset of graphics from original position symbol_offset: Optional [Sequence] = None, # rotation angle of graphics symbol_rotate: Optional [Numeric] = None, # whether to clip graphics is_symbol_clip: bool = False, # series label colors color: Optional [str] = None, # distance between columns of the same series Default is 10% of the category spacing. You can set a fixed value of category_gap: Union [Numeric, str] = "10%", # tag configuration item, refer to `series_ options.LabelOpts` label_opts: Union [opts.LabelOpts, dict] = opts.LabelOpts (),) 2. Basic pictogram

Population of some provinces and cities:

Province = ["Beijing", "Tianjin", "Hubei", "Shanxi", "Shanghai", "Inner Mongolia", "Yunnan", "Heilongjiang", "Guangdong", "Fujian"] values = [2189, 1386, 5775, 3491, 2487, 2404, 4720, 3185, 12601, 4154] c = (PictorialBar () .add _ xaxis (province) .add _ yaxis (", values") Label_opts=opts.LabelOpts (is_show=False), symbol_size=18, symbol_repeat= "fixed", symbol_offset= [0,0], is_symbol_clip=True, symbol=SymbolType.ARROW,) .reversal _ axis () .set _ global_opts (title_opts=opts.TitleOpts (title= "provincial population (10,000)"), xaxis_opts=opts.AxisOpts (is_show=True) Yaxis_opts=opts.AxisOpts (axistick_opts=opts.AxisTickOpts (is_show=False), axisline_opts=opts.AxisLineOpts (linestyle_opts=opts.LineStyleOpts (opacity=0)),),) c.render_notebook ()

Effect:

Symbol styles are available: RECT, ROUND_RECT, TRIANGLE, DIAMOND, ARROW.

The effect of setting to "DIAMOND" is as follows:

3. Custom Legend 3.1 Image Legend

3.2 generate pictographs

Code:

C = (PictorialBar () .add _ xaxis (list (dic.keys () .add _ yaxis ("2020", [{"value": 18, "symbol": dic ['plane']}, {"value": 40, "symbol": dic ['train']}, {"value": 78, "symbol": dic ['car']}) {"value": 66, "symbol": dic ['ship']},], label_opts=opts.LabelOpts (is_show=False), symbol_size=22, symbol_repeat= "fixed", symbol_offset= [0,5], is_symbol_clip=True,) .add _ yaxis ("2021", [{"value": 54) "symbol": dic ['plane']}, {"value": 68, "symbol": dic ['train']}, {"value": 105, "symbol": dic ['car']}, {"value": 73, "symbol": dic ['ship']},], label_opts=opts.LabelOpts (is_show=False), symbol_size=22 Symbol_repeat= "fixed", symbol_offset= [0,-25], is_symbol_clip=True,) .reversal _ axis () .set _ global_opts (title_opts=opts.TitleOpts (title= "urban transport"), xaxis_opts=opts.AxisOpts (is_show=False), yaxis_opts=opts.AxisOpts (axistick_opts=opts.AxisTickOpts (is_show=False)) Axisline_opts=opts.AxisLineOpts (linestyle_opts=opts.LineStyleOpts (opacity=0)),) c.render_notebook ()

Effect:

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