Python 循环遍历列并避免索引器

给定样本数据集（实际数据具有

（931674）

）：

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\u lat\u name=border.columns[col\u num+1]

行中，我得到：

索引器：索引3超出大小为3的轴0的界限

---

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访问它

len（border.columns）

是（我猜）3。因此，

col_num

将在for循环中取值0和2

---

当它取值2，然后在有问题的行中执行

border.columns[col_num+1]

时，您试图访问其边界之外的轴，因为

col_num+1

是3。

您能告诉我为什么要在范围（0，len（border.columns），2）中迭代替换列吗为您提供了备用列，看起来您在border中没有第三个索引。columnstry for语句中的这个：for col_num在范围（0，len（border.columns）-1，2）@giulio一些好东西！但输出只有1行，但我需要338行（因为我每2对夫妇就需要338行），因此，我应该怎么做？

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)