Question

给出示例数据集（实际数据具有(931, 674)）：

12_longitude_1  12_latitude_1   14_longitude_2  14_latitude_2   15_longitude_3  15_latitude_3
           16             11             12               13             14              15     
           16             11             12               13             14              15  
           16             11             12               13             14              15

我正在跑步：

pd_out = pd.DataFrame({'zone': [], 'number': []})

for col_num in range(0, len(border.columns), 2):
    curr_lon_name = border.columns[col_num]
    curr_lat_name = border.columns[col_num + 1] # PROBLEM IS HERE
    num = curr_lon_name.split("_")[-1]
    border = border[[curr_lon_name, curr_lat_name]].dropna()
    border[curr_lon_name] = border[curr_lon_name].replace(r'[()]', '', regex=True)
    border[curr_lat_name] = border[curr_lat_name].replace(r'[()]', '', regex=True)
    border[curr_lon_name] = pd.to_numeric(border[curr_lon_name], errors='coerce')
    border[curr_lat_name] = pd.to_numeric(border[curr_lat_name], errors='coerce')
    geometry2 = [Point(xy) for xy in zip(border[curr_lon_name],border[curr_lat_name])]
    border_point = gpd.GeoDataFrame(border,crs=crs,geometry=geometry2)
    turin_final = Polygon([[p.x, p.y] for p in border_point.geometry])
    within_turin = turin_point[turin_point.geometry.within(turin_final)]
    curr_len = len(within_turin)
    pd_out = pd_out.append({'zone': "long_lat_{}".format(num), 'number': curr_len}, ignore_index=True)

但是在----> 7 curr_lat_name = border.columns[col_num + 1]行中，我得到了

IndexError：索引3超出了大小为3的轴0的边界

Answer 1

Python从0开始索引。因此，如果轴的大小为3，则只能使用索引0、1和2进行访问。

len(border.columns)是3（我猜是3）。因此col_num将在您的for循环中使用值0和2。

当它取值为2，然后在有问题的行中执行border.columns[col_num + 1]时，您将尝试访问其边界之外的轴，因为col_num+1为3。

遍历各列并避免IndexError

1 个答案: