diff --git "a/\345\233\276\347\211\207\350\275\254\345\255\227\347\254\246\347\224\273.md" "b/\345\233\276\347\211\207\350\275\254\345\255\227\347\254\246\347\224\273.md"
new file mode 100644
index 0000000000000000000000000000000000000000..e7047e9a5ac93e19f9f3b5fdb3a1912c3f749082
--- /dev/null
+++ "b/\345\233\276\347\211\207\350\275\254\345\255\227\347\254\246\347\224\273.md"
@@ -0,0 +1,38 @@
+```
+"""
+图片转字符画
+版本: python version >= 3 
+扩展:
+pip install --upgrade pip
+pip install --user matplotlib
+pip install pillow
+"""
+
+import matplotlib.pyplot as plt
+#显示区域的长宽
+show_width = 150
+show_height = 50    
+
+ascii_char = list("$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. ")
+char_len = len(ascii_char)
+
+# 读取图片,这里要指定图片路径
+pic = plt.imread("E:/1.jpg")
+pic_height ,pic_width,_ = pic.shape
+#获取图像的高、宽
+
+gray = 0.2126 * pic[:,:,0] + 0.7152 * pic[:,:,1] + 0.0722 * pic[:,:,2]
+#RGB转灰度图的公式 gray = 0.2126 * r + 0.7152 * g + 0.0722 * b
+
+#思路就是根据灰度值，映射到相应的ascii_char
+for i in range(show_height):
+    #根据比例映射到对应的像素
+    y = int(i * pic_height / show_height )
+    text = ""
+    for j in range(show_width):
+        x = int(j * pic_width / show_width)
+        text += ascii_char[int(gray[y][x] / 256 * char_len)]
+    print(text)
+```
+
+![截图](https://gitee.com/lovefc/images/raw/master/20200527.png "屏幕截图.png")
\ No newline at end of file