def data_visual_6(path, filename, colorgrade=16):
"""
读取GPS+1_4数据，如42042633
给定direction、x_step、x_num、y_step、y_num四个属性，构造矩阵
选取关键属性，并计算统计数据，并插值作图
输入：文件
输出：在本地保存一份文件，加图片
"""
print("------读取并解析类型6数据------")
header_name, file_data, iflose = data_read(path + '/' + filename)
header_names1 = headname_tran(header_name[[4]])
header_names = range(len(header_name))
if_gps = 1 # 1表示在地图上展示
file_data = file_data[:, [0, 1, 4]]
file_data, ifminus = data_process(file_data, [2])
Y = cal_w(file_data[:, [1]]) # 计算维度
X = cal_w(file_data[:, [0]]) # 计算经度
file_data = file_data[:, [2]].astype(float)
output_name = filename + '.xlsx'
data = cal_statistic(file_data)
# excel_write(data, str(header_names), path+'/'+output_name)
txt_write(data, header_names1, path + '/' + output_name)
# file_save(X,Y,fileData)
X, Y, Z, southwest, northeast = run_gps(np.array(X), np.array(Y),
file_data.T, filename,
header_names, if_gps, colorgrade)
save_new_file(X, Y, Z, header_names1, path + '/' + filename)
return iflose, ifminus, southwest, northeast
def data_visual_2(path, filename):
"""
读取continual+1_4数据，如50201905
选取关键属性，并计算统计数据
输入：文件
输出：在本地保存一份文件
"""
print("------读取并解析类型2数据------")
header_name, fileData, iflose = data_read(path + '/' + filename)
fileData = np.array(fileData)[:, [2]].astype(float)
fileData, ifminus = data_process(fileData, [0])
output_name = filename + '.xlsx'
data = cal_statistic(fileData)
txt_write(data, headname_tran(header_name[[2]]), path + '/' + output_name)
return iflose, ifminus
def data_visual_4(path,
filename,
direction='x',
x_step=2,
x_num=16,
y_step=3,
y_num=16,
colorgrade=16):
"""
读取Manual+1_4数据，如10sxc1
给定direction、x_step、x_num、y_step、y_num四个属性，构造矩阵
选取关键属性，并计算统计数据，并插值作图
输入：文件
输出：在本地保存一份文件，加图片
根据需求，若生成的点数小于实际点数，则输入点数错误，重新输入
"""
print("------读取并解析类型4数据------")
header_name, file_data, iflose = data_read(path + '/' + filename)
header_names1 = headname_tran(header_name[[2]])
header_names = range(len(header_name))
if not (direction == 'x' or direction == 'y'):
print("输入非法字符")
return False, True, True
index = cal_xy(direction, x_step, x_num, y_step, y_num)
if_gps = 0 # 0表示不在地图上展示
print("输入XY的乘积：", len(index))
print("实际点数：", len(file_data))
if len(index) < len(file_data):
print("用户输入数据有误")
return False, True, True
else:
file_data = file_data[:, [2]].astype(float)
print(file_data.shape)
file_data, ifminus = data_process(file_data, [0])
index = index[:len(file_data)]
index = list(zip(*index))
X = list(index[0])
Y = list(index[1])
output_name = filename + '.xlsx'
data = cal_statistic(file_data)
txt_write(data, header_names1, path + '/' + output_name)
X, Y, Z, _, _ = run_gps(X, Y, file_data.T, filename, header_names,
if_gps, colorgrade)
save_new_file(X, Y, Z, header_names1, path + '/' + filename)
return True, iflose, ifminus
def data_visual_1(path, filename):
"""
读取continual+Explorer数据，如10sxblnexh
选取关键属性，并计算统计数据
输入：文件
输出：在本地保存一份文件
"""
print("------读取并解析类型1数据------")
header_name, file_data, iflose = data_read(path + '/' + filename)
file_data = file_data[:, [2, 4, 6]].astype(float)
file_data, ifminus = data_process(file_data, [0, 1, 2])
output_name = filename + '.xlsx'
data = cal_statistic(file_data)
# , filename.split('/')[1].split('.')[0]
txt_write(data, headname_tran(header_name[[2, 4, 6]]),
path + '/' + output_name)
return iflose, ifminus