min(nrows,ncols)
时间: 2023-05-03 16:07:27 浏览: 49
min(nrows,ncols)表示求出行数nrows和列数ncols中的较小值。在编程中,常用该函数来限定某一个矩阵或数组的大小。这样做是因为程序通常需要在内存中为这些数据分配空间,而内存空间有限,如果数据过大,程序就可能会出现错误或崩溃。通过使用min(nrows,ncols),可以确保矩阵或数组的大小不会超出内存限制,从而保证程序的正确性和稳定性。此外,在图像处理中,该函数也常被用来计算图像的分辨率,以便于在不失真的前提下缩小或放大图像。总之,min(nrows,ncols)在计算机科学和工程领域中有着广泛的应用,是一个简单而实用的函数。
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def plot_regression_result(model, fit_result, X, y): """ 绘制回归拟合后的图表,包括 - 估计值和实际值的对比 - 趋势 - 季节性 """ year_month = [x[-5:] for x in UNIQUE_YEAR_MONTH] fig,(ax1,ax2,ax3) = plt.subplots(nrows=3,ncols=1,figsize=(16,10)) params = fit_result.params ax1.plot(year_month,model.predict(params, X),label="估计值") ax1.plot(year_month,y,label="实际值") ax1.legend() ax1.set_ylim(0,) ax1.set_title("估计值和实际值对比") x = range(1,len(year_month)+1) trend = lambda x:params["ts_rank"] * x + params["constant"] trend_value = [trend(i) for i in x] ax2.plot(year_month, trend_value) ax2.set_ylim(min(0,min(trend_value) * 1.5),max(trend_value) *1.5) ax2.set_title("趋势") month_coef = params.drop(["ts_rank","constant"]) month_coef_values = month_coef.values.tolist() ax3.plot(month_coef.index.values.tolist(),month_coef_values ) ax3.set_ylim(min(0,min(month_coef_values) *1.5),max(month_coef_values) *1.5) ax3.set_title("季节性") fig.suptitle(f"针对{product}的时间序列分析", fontsize=20, fontweight="bold") fig.tight_layout() def plot_product_regression(product): model,fit_result,X,y = fit_regression_model(product) plot_regression_result(model,fit_result,X,y) plot_product_regression(product)
这段代码的作用是绘制回归分析的结果图表,包括估计值和实际值的对比,趋势以及季节性。具体实现包括创建一个包含三个子图的图表,分别用于展示估计值和实际值的对比、趋势以及季节性;使用回归模型对给定的变量进行预测估计值,并将估计值和实际值绘制在第一个子图中;计算趋势并将其绘制在第二个子图中;计算季节性并将其绘制在第三个子图中。该代码需要传入一个产品名称作为参数。
void CMyImageView::OnBianyuan() { // TODO: 在此添加命令处理程序代码 CMyImageDoc* pDoc = GetDocument();//获取文档指针 ASSERT_VALID(pDoc); suanzi dlginputyuzhi;//定义阈值对话框类对象 dlginputyuzhi.DoModal();//弹出对话框 UpdateData(TRUE); if (pDoc->m_pDib == NULL) { AfxMessageBox("Error!"); return; } int mcols = pDoc->m_pDib->m_nCols; int mrows = pDoc->m_pDib->m_nRows; unsigned char* m_pData = NULL; m_pData = pDoc->m_pDib->pImgData; unsigned char* m_pDataOldPos = m_pData; unsigned char* a; int* b = NULL; int irows, jcols; int max = 0; int min = 255; vector<int>v; for (irows = 0; irows < mrows; irows++) { for (jcols = 0; jcols < mcols; jcols++) { int j = 0; int p = 0, q = 0; m_pData += irows * mcols + jcols; j += irows * mcols + jcols; if (j > mcols && (j + 1) % mcols != 0 && j < (mrows * (mcols - 1))) { p = 4 * (*m_pData) - *(m_pData + 1) - *(m_pData - 1) - *(m_pData - mcols) - *(m_pData + mcols); if (p > dlginputyuzhi.suanzi_1) { v.push_back(0); } else { v.push_back(255); } } m_pData = m_pDataOldPos; } } int aq = 0; for (irows = 0; irows < mrows; irows++) { for (jcols = 0; jcols < mcols; jcols++) { int j = 0; int p = 0, q = 0; m_pData += irows * mcols + jcols; j += irows * mcols + jcols; if (j > mcols && (j + 1) % mcols != 0 && j < (mrows * (mcols - 1))) { *m_pData = v[aq]; aq++; } m_pData = m_pDataOldPos; } } for (irows = 0; irows < mrows; irows++) { for (jcols = 0; jcols < mcols; jcols++) { int j = 0; int p = 0, q = 0; m_pData += irows * mcols + jcols; j += irows * mcols + jcols; if (irows>0&&irows<mrows-1&&jcols>0&&jcols<mcols-1) { if (*m_pData==0) { if (*(m_pData + 1) == 0 || *(m_pData - 1) == 0 || *(m_pData - mcols) == 0 || *(m_pData + mcols) == 0) { } else { *m_pData = 255; } } } m_pData = m_pDataOldPos; } } pDoc->UpdateAllViews(NULL); }仿照此代码,将其中的sobel算子改成Robert算子
void CMyImageView::OnBianyuan() {
// TODO: 在此添加命令处理程序代码
CMyImageDoc* pDoc = GetDocument();//获取文档指针
ASSERT_VALID(pDoc);
suanzi dlginputyuzhi;//定义阈值对话框类对象
dlginputyuzhi.DoModal();//弹出对话框
UpdateData(TRUE);
if (pDoc->m_pDib == NULL) {
AfxMessageBox("Error!");
return;
}
int mcols = pDoc->m_pDib->m_nCols;
int mrows = pDoc->m_pDib->m_nRows;
unsigned char* m_pData = NULL;
m_pData = pDoc->m_pDib->pImgData;
unsigned char* m_pDataOldPos = m_pData;
unsigned char* a;
int* b = NULL;
int irows, jcols;
int max = 0;
int min = 255;
vector<int>v;
for (irows = 0; irows < mrows; irows++) {
for (jcols = 0; jcols < mcols; jcols++) {
int j = 0;
int p = 0, q = 0;
m_pData += irows * mcols + jcols;
j += irows * mcols + jcols;
if (j > mcols && (j + 1) % mcols != 0 && j < (mrows * (mcols - 1))) {
// Robert算子
p = abs(*m_pData - *(m_pData + mcols + 1)) + abs(*(m_pData + 1) - *(m_pData + mcols));
if (dlginputyuzhi.suanzi_1 != 0 && p > dlginputyuzhi.suanzi_1) {
v.push_back(0);
}
else {
v.push_back(255);
}
}
m_pData = m_pDataOldPos;
}
}
int aq = 0;
for (irows = 0; irows < mrows; irows++) {
for (jcols = 0; jcols < mcols; jcols++) {
int j = 0;
int p = 0, q = 0;
m_pData += irows * mcols + jcols;
j += irows * mcols + jcols;
if (j > mcols && (j + 1) % mcols != 0 && j < (mrows * (mcols - 1))) {
*m_pData = v[aq];
aq++;
}
m_pData = m_pDataOldPos;
}
}
for (irows = 0; irows < mrows; irows++) {
for (jcols = 0; jcols < mcols; jcols++) {
int j = 0;
int p = 0, q = 0;
m_pData += irows * mcols + jcols;
j += irows * mcols + jcols;
if (irows > 0 && irows < mrows - 1 && jcols > 0 && jcols < mcols - 1) {
if (*m_pData == 0) {
if (*(m_pData + 1) == 0 || *(m_pData - 1) == 0 || *(m_pData - mcols) == 0 || *(m_pData + mcols) == 0) {
}
else {
*m_pData = 255;
}
}
}
m_pData = m_pDataOldPos;
}
}
pDoc->UpdateAllViews(NULL);
}