Update 09. 排序，搜索和计数.ipynb

IntroductionToNumpy/task05-3天排序搜索计数及集合操作/09. 排序，搜索和计数.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# 排序，搜索和计数\n",
     "## 排序\n",
-    "\n",
+    "### numpy.sort()\n",
     "- `numpy.sort(a[, axis=-1, kind='quicksort', order=None])` Return a sorted **copy** of an array.\n",
     "    - axis：排序沿数组的（轴）方向，0表示按行，1表示按列，None表示展开来排序，默认为-1，表示沿最后的轴排序。\n",
     "    - kind：排序的算法，提供了快排'quicksort'、混排'mergesort'、堆排'heapsort'， 默认为‘quicksort'。\n",
@@ -69,7 +69,7 @@
     "\n",
     "\n",
     "如果排序后，想用元素的索引位置替代排序后的实际结果，该怎么办呢？\n",
-    "\n",
+    "### numpy.argsort()\n",
     "- `numpy.argsort(a[, axis=-1, kind='quicksort', order=None])` Returns the indices that would sort an array.\n",
     "\n",
     "\n",
@@ -147,7 +147,7 @@
     "```\n",
     "\n",
     "如何将数据按照某一指标进行排序呢？\n",
-    "\n",
+    "### numpy.lexsort()\n",
     "- `numpy.lexsort(keys[, axis=-1])` Perform an indirect stable sort using a sequence of keys.（使用键序列执行间接稳定排序。）\n",
     "\n",
     "- 给定多个可以在电子表格中解释为列的排序键，lexsort返回一个整数索引数组，该数组描述了按多个列排序的顺序。序列中的最后一个键用于主排序顺序，倒数第二个键用于辅助排序顺序，依此类推。keys参数必须是可以转换为相同形状的数组的对象序列。如果为keys参数提供了2D数组，则将其行解释为排序键，并根据最后一行，倒数第二行等进行排序。\n",
@@ -223,7 +223,7 @@
     "print(y[z])\n",
     "# [0 0 1 2 4 4 9]\n",
     "```\n",
-    "\n",
+    "### numpy.partition()\n",
     "- `numpy.partition(a, kth, axis=-1, kind='introselect', order=None)` Return a partitioned copy of an array.\n",
     "\n",
     "Creates a copy of the array with its elements rearranged in such a way that the value of the element in k-th position is in the position it would be in a sorted array. All elements smaller than the k-th element are moved before this element and all equal or greater are moved behind it. The ordering of the elements in the two partitions is undefined.\n",
@@ -309,7 +309,7 @@
     "print(z[-3])\n",
     "# [17 24 17]\n",
     "```\n",
-    "\n",
+    "### numpy.argpartition()\n",
     "\n",
     "- `numpy.argpartition(a, kth, axis=-1, kind='introselect', order=None)`\n",
     "\n",
@@ -401,7 +401,7 @@
     "\n",
     "---\n",
     "## 搜索\n",
-    "\n",
+    "### numpy.argmax()\n",
     "- `numpy.argmax(a[, axis=None, out=None])`Returns the indices of the maximum values along an axis.\n",
     "\n",
     "【例】\n",
@@ -429,7 +429,7 @@
     "print(y)\n",
     "# [2 3 4 0 0]\n",
     "```\n",
-    "\n",
+    "### numpy.argmin()\n",
     "- `numpy.argmin(a[, axis=None, out=None])`Returns the indices of the minimum values along an axis.\n",
     "\n",
     "\n",
@@ -458,7 +458,7 @@
     "print(y)\n",
     "# [3 1 0 2 1]\n",
     "```\n",
-    "\n",
+    "### numppy.nonzero()\n",
     "\n",
     "- `numppy.nonzero(a)` Return the indices of the elements that are non-zero.\n",
     "\n",
@@ -580,7 +580,7 @@
     "print(y)\n",
     "# [4 5 6 7 8 9]\n",
     "```\n",
-    "\n",
+    "### numpy.where()\n",
     "- `numpy.where(condition, [x=None, y=None])`  Return elements chosen from `x` or `y` depending on `condition`.\n",
     "\n",
     "【例】满足条件`condition`，输出`x`，不满足输出`y`。\n",
@@ -643,7 +643,7 @@
     "\n",
     "\n",
     "\n",
-    "\n",
+    "### numpy.searchsorted()\n",
     "- `numpy.searchsorted(a, v[, side='left', sorter=None])` Find indices where elements should be inserted to maintain order.\n",
     "    - a：一维输入数组。当`sorter`参数为`None`的时候，`a`必须为升序数组；否则，`sorter`不能为空，存放`a`中元素的`index`，用于反映`a`数组的升序排列方式。\n",
     "    - v：插入`a`数组的值，可以为单个元素，`list`或者`ndarray`。\n",
@@ -727,7 +727,7 @@
     "\n",
     "---\n",
     "## 计数\n",
-    "\n",
+    "### numpy.count_nonzero()\n",
     "- `numpy.count_nonzero(a, axis=None)` Counts the number of non-zero values in the array a.\n",
     "\n",
     "【例】返回数组中的非0元素个数。\n",