Dev

.gitignore

@@ -12,7 +12,6 @@ wheels/
 # backup
 *.bak
 
-# notebooks
+.vscode/*
 notebooks/figures/*
-
 tests/figures/*

README.md

@@ -77,7 +77,7 @@ rm -rf surfplot
 推荐先 Fork 仓库，然后克隆您自己的 Fork 并安装 `dev` 分支：
 
 ```bash
-git clone -b dev https://github.com/ <your-username >/plotfig.git
+git clone -b dev https://github.com/<your-username>/plotfig.git
 cd plotfig
 pip install -e .
 ```
@@ -90,4 +90,4 @@ pip install -e .
 
 都非常欢迎在 [Issue](https://github.com/RicardoRyn/plotfig/issues) 中提出。
 
-也可以直接提交 [PR](https://github.com/RicardoRyn/plotfig/pulls)，一起变得更强 🙌！
+也可以直接提交 [PR](https://github.com/RicardoRyn/plotfig/pulls)，一起变得更强 💪！

docs/installation.md

@@ -55,7 +55,7 @@ pip install .
 推荐先 Fork 仓库，然后克隆您自己的 Fork 并安装 `dev` 分支：
 
 ```bash
-git clone -b dev https://github.com/ <your-username >/plotfig.git
+git clone -b dev https://github.com/<your-username>/plotfig.git
 cd plotfig
 pip install -e .
 ```
@@ -68,4 +68,4 @@ pip install -e .
 
 都非常欢迎在 [Issue](https://github.com/RicardoRyn/plotfig/issues) 中提出。
 
-也可以直接提交 [PR](https://github.com/RicardoRyn/plotfig/pulls)，一起变得更强 🙌！
+也可以直接提交 [PR](https://github.com/RicardoRyn/plotfig/pulls)，一起变得更强 💪！

src/plotfig/bar.py

@@ -205,7 +205,7 @@ def _stars(pval, i, y, color, fontsize):
                 xy=(i, y),
                 xytext=(j, y),
                 arrowprops=dict(
-                    edgecolor=line_color, width=0.5, headwidth=0.1, headlength=0.1
+                    color=line_color, width=0.5, headwidth=0.1, headlength=0.1
                 ),
             )
             _stars(pval, (i + j) / 2, y + star_offset, color, fontsize)

tests/test.py

@@ -1,17 +1,12 @@
-import random
+import numpy as np
+import matplotlib.pyplot as plt
+from plotfig import plot_one_group_bar_figure
 
-input_file = r"e:\git_repositories\plotfig\src\plotfig\data\neurodata\atlases\macaque_D99\label.txt"
-output_file = r"e:\git_repositories\plotfig\src\plotfig\data\neurodata\atlases\macaque_D99\label1.txt"
+fig, ax = plt.subplots()
 
-with open(input_file, "r", encoding="utf-8") as fin, \
-    open(output_file, "w", encoding="utf-8") as fout:
+data1 = np.random.rand(10)
+data2 = np.random.rand(10)
 
-    for idx, line in enumerate(fin, start=1):
-        region_name = line.rstrip("\n")
-        fout.write(region_name + "\n")
+ax = plot_one_group_bar_figure([data1, data2], ax=ax)
 
-        r = random.randint(0, 255)
-        g = random.randint(0, 255)
-        b = random.randint(0, 255)
-        # 写格式：序号, r, g, b, 255
-        fout.write(f"{idx} {r} {g} {b} 255\n")
+fig.savefig("test.png")