在使用的是pandas讀取文件內的數據時,通常會默認保持7精度左右的數據(具體有多少進度沒有在意)
而有時候我們需要精度比較高的數據,在這里就需要進行處理了,
一般需要在使用pandas讀取文件的那一行之后,添加一行代碼:
1 with pd.option_context('display.precision', 12)
就行了,完整例子如下
point = pd.read_csv('point.csv') with pd.option_context('display.precision', 12): # print(point) B0 = np.double(point.loc[0, ['x']]) L0 = np.double(point.loc[0, ['y']]) #print(B0, L0) for i in range(len(point)): if i % 10 == 0: waypoint = point.loc[i, ["x", "y", "heading"]].values.astype(float) lat = np.double(waypoint[[0]]) lon = np.double(waypoint[[1]]) x, y = transformation(lat, lon, B0, L0) line = "%s,%s,%s" % (x, y, waypoint[[2]][0]) with open("test.csv", 'a+') as f: f.write(line + '\n')