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Visualization tool that makes it easier to get scatter plots right.

Project description

quantile_scatter

下の方に日本語の説明があります

Overview

  • Visualization tool that makes it easier to get scatter plots right.
  • The number of uniform data is divided into intervals on the x-axis, and the quantile points for each interval are displayed.

Usage

import quantile_scatter

# dummy data
x_ls = [(4 * random.random() - 2) ** 3
	for _ in range(1000)]
y_ls = [math.sin(x) + random.random() * 0.5
	for x in x_ls]

# plot [quantile_scatter]
quantile_scatter.plot(
	x = x_ls,	# x-list
	y = y_ls,	# y-list
	group_n = 20,	# divide group number
	ile_ls = [0.25, 0.5, 0.75]
)

概要

  • 散布図を正しく把握しやすくする可視化ツール
  • 均一データ数の横軸区間に分け、各区間の分位点を表示する
  • 説明は執筆中です

使用例

import quantile_scatter

# ダミーデータ
x_ls = [(4 * random.random() - 2) ** 3
	for _ in range(1000)]
y_ls = [math.sin(x) + random.random() * 0.5
	for x in x_ls]

# 分位点散布図の描画 [quantile_scatter]
quantile_scatter.plot(
	x = x_ls,	# 横軸数値リスト
	y = y_ls,	# 縦軸数値リスト
	group_n = 20,	# 分割グループ数
	ile_ls = [0.25, 0.5, 0.75]	# どこの分位点を出すか
)

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