Python绘图极坐标图切片对齐

Question

所以我要做的是用plotly创建一个极坐标图。但是，它需要看起来类似于饼图，每个label都有一个圆的切片。目前，如果我将圆分成相等的切片，极坐标图工作正常。但是，当我尝试给他们一个对应于weights的切片时，结果不太好，因为它倾向于在每个切片之间重叠或留下空间。这主要是由于θ

有人能解释一下我哪里出错了吗

Ratings-最大值为5，最小值为1。这用于确定极坐标图中切片的长度

Weights-最大值为100，最小值为1。这用于确定极坐标图中切片的宽度

Labels-标识每个切片

等分圆时

import plotly.graph_objects as go
import plotly.express as px


ratings = [3, 2, 5, 1, 2]
weights = [65, 79, 81, 98, 58]
labels = ["Strength", "Intelligence", "Dexterity", "Wisdom", "Stealth"]

def make_barpolar(ratings, weights, labels=None, colors=None, layout_options = None, **fig_kwargs):
    # infer slice angles
    num_slices = len(weights)
    theta = [(i) * 360 / num_slices for i in range(0, num_slices)]
    width = [360 / num_slices for _ in range(num_slices)]
    
    # optionally infer colors
    if colors is None:
        color_seq = px.colors.qualitative.Safe
        color_indices = range(0, len(color_seq), len(color_seq) // num_slices)
        colors = [color_seq[i] for i in color_indices]

    if layout_options is None:
        layout_options = {}

    if labels is None:
        labels = ["" for _ in range(num_slices)]
        layout_options["showlegend"] = False

    # make figure
    barpolar_plots = [go.Barpolar(r=[r], theta=[t], width=[w], name=n, marker_color=[c], **fig_kwargs)
                      for r, t, w, n, c in zip(ratings, theta, width, labels, colors)]
    
    fig = go.Figure(barpolar_plots)
    
    # additional layout parameters
    fig.update_layout(**layout_options)
    
    return fig


layout_options = {"title": "My Stats",
                  "title_font_size": 24,
                  "title_x": 0.5,
                  "legend_x": 0.85,
                  "legend_y": 0.5,
                  "polar_radialaxis_ticks": "",
                  "polar_radialaxis_showticklabels": False,
                  "polar_radialaxis_range": [0, max(ratings)],
                  "polar_angularaxis_ticks": "",
                  "polar_angularaxis_showticklabels": False}

fig = make_barpolar(ratings, weights, labels, layout_options=layout_options, opacity = 0.7)
fig.show()

Polar Chart 1

使用weights计算宽度和θ时

import plotly.graph_objects as go
import plotly.express as px


ratings = [3, 2, 5, 1, 2]
weights = [65, 79, 81, 98, 38]
labels = ["Strength", "Intelligence", "Dexterity", "Wisdom", "Stealth"]

def make_barpolar(ratings, weights, labels=None, colors=None, layout_options = None, **fig_kwargs):
    # infer slice angles
    
    angles = [(weight / sum(weights) * 360) for weight in weights]
    theta = []
    num_slices = len(ratings)
    theta = []
    for index, angle in enumerate(angles):
        if index < len(angles)-1:
            if index == 0:
                theta.append(0)
            theta.append(theta[index] + angle)
    width = angles
    
    # optionally infer colors
    if colors is None:
        color_seq = px.colors.qualitative.Safe
        color_indices = range(0, len(color_seq), len(color_seq) // num_slices)
        colors = [color_seq[i] for i in color_indices]

    if layout_options is None:
        layout_options = {}

    if labels is None:
        labels = ["" for _ in range(num_slices)]
        layout_options["showlegend"] = False

    # make figure
    barpolar_plots = [go.Barpolar(r=[r], theta=[t], width=[w], name=n, marker_color=[c], **fig_kwargs)
                      for r, t, w, n, c in zip(ratings, theta, width, labels, colors)]
    
    fig = go.Figure(barpolar_plots)
    
    # additional layout parameters
    fig.update_layout(**layout_options)
    
    return fig


layout_options = {"title": "My Stats",
                  "title_font_size": 24,
                  "title_x": 0.5,
                  "legend_x": 0.85,
                  "legend_y": 0.5,
                  "polar_radialaxis_ticks": "",
                  "polar_radialaxis_showticklabels": False,
                  "polar_radialaxis_range": [0, max(ratings)],
                  "polar_angularaxis_ticks": "",
                  "polar_angularaxis_showticklabels": False}

fig = make_barpolar(ratings, weights, labels, layout_options=layout_options, opacity = 0.7)
fig.show()

Polar Chart 2

Answer 1

我想你是假设theta设置了一个径向扇区的一条边的位置，而实际上它是该径向扇区的中心。这是您的代码，但计算了theta来解释此差异：

import plotly.graph_objects as go
import plotly.express as px


ratings = [3, 2, 5, 1, 2]
weights = [65, 79, 81, 98, 38]
labels = ["Strength", "Intelligence", "Dexterity", "Wisdom", "Stealth"]

def make_barpolar(ratings, weights, labels=None, colors=None, layout_options = None, **fig_kwargs):
    # infer slice angles
    
    angles = [(weight / sum(weights) * 360) for weight in weights]
    num_slices = len(ratings)
    theta = [0.5 * angle for angle in angles]
    for index, angle in enumerate(angles):
        for subsequent_index in range(index + 1, len(angles)):
            theta[subsequent_index] += angle
    width = angles
    
    # optionally infer colors
    if colors is None:
        color_seq = px.colors.qualitative.Safe
        color_indices = range(0, len(color_seq), len(color_seq) // num_slices)
        colors = [color_seq[i] for i in color_indices]

    if layout_options is None:
        layout_options = {}

    if labels is None:
        labels = ["" for _ in range(num_slices)]
        layout_options["showlegend"] = False

    # make figure
    barpolar_plots = [go.Barpolar(r=[r], theta=[t], width=[w], name=n, marker_color=[c], **fig_kwargs)
                      for r, t, w, n, c in zip(ratings, theta, width, labels, colors)]
    
    fig = go.Figure(barpolar_plots)
    
    # additional layout parameters
    fig.update_layout(**layout_options)
    
    return fig


layout_options = {"title": "My Stats",
                  "title_font_size": 24,
                  "title_x": 0.5,
                  "legend_x": 0.85,
                  "legend_y": 0.5,
                  "polar_radialaxis_ticks": "",
                  "polar_radialaxis_showticklabels": False,
                  "polar_radialaxis_range": [0, max(ratings)],
                  "polar_angularaxis_ticks": "",
                  "polar_angularaxis_showticklabels": False}

fig = make_barpolar(ratings, weights, labels, layout_options=layout_options, opacity = 0.7)
fig.show()

给

如果要将所有内容向后移动，使浅蓝色扇区直接指向右侧，则始终可以从theta的每个元素中减去0.5 * angle[0]，作为一个附加的小步

_uuu

附言：非常高质量的第一次海报帖子。好极了