python dateutil.relativedelta_Python找不到dateutil.relativedelta

博主运行程序时遇到ImportError: No module named dateutil.relativedelta错误,虽已安装对应版本,但dateutil仅安装在Python 2.7。解决办法一是切换到虚拟环境安装,二是在命令后加--upgrade强制重新安装。

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I am trying to run a program using paster serve, but I keep getting the error:

ImportError: No module named dateutil.relativedelta

I am running Python version 2.6.7 and dateutil version 1.5, so it should be installed.

Has anyone got any ideas as to why this would happen?

I am importing using

from dateutil.relativedelta import *

I can even see the package when I search:

/usr/lib/python2.7/site-packages/dateutil/relativedelta.pyc

/usr/lib/python2.7/site-packages/dateutil/relativedelta.py

/usr/lib/python2.7/site-packages/dateutil/relativedelta.pyo

UPDATE

Immediately I look at this and see that dateutil is only installed for Python 2.7, and I bet what I was doing was this:

sudo yum install python-dateutil

To which sudo would have switch to the default Python version (i.e., Python 2.7 instead of 2.6.4).

Solving this would have been as simple as:

su

(switch to virtual environment)

yum install python-dateutil

Using su and then switching to the virtual environment will give root access and install to the virtual Python directory. Using sudo will install libraries to the default directory, not the virtual environments site-packages.

解决方案

I also ran into this issue. The simple solution I ended up using was to add --upgrade to the end of the command. This forced it to install it even though Python thought it was installed. This resolved the issue.

So if you have this issue, try the following:

sudo pip install python-dateutil --upgrade

It can't possibly hurt anything, so there is no harm in just forcing it to be reinstalled.

# 导入聚宽函数库 from jqdata import * from dateutil.relativedelta import relativedelta # 初始化策略 def initialize(context): # 设置参数 set_parameters() # 参数配置 set_backtest() # 回测设置 def set_parameters(): # ETF列表(需替换为实际可交易的ETF代码) g.etf_list = ['510300.XSHG', '510500.XSHG', '159915.XSHE'] g.hold_num = 100 # 持仓数量 g.momentum_day = 20 # 动量计算周期 def set_backtest(): set_option('use_real_price', True) # 使用真实价格 set_order_cost(OrderCost(open_tax=0, close_tax=0.001, open_commission=0.0003, close_commission=0.0003, min_commission=5), type='stock') # 设置手续费 set_benchmark('000300.XSHG') # 设定基准 log.set_level('order', 'error') # 设置日志级别 # 每个交易日运行 def handle_data(context, data): # 每月第一个交易日调仓 if not is_trade_day(context.current_dt): return # 获取动量排名 momentum_rank = get_momentum_rank(g.etf_list, g.momentum_day) # 确定持仓标的 to_hold = momentum_rank[:g.hold_num] # 执行调仓 adjust_position(context, to_hold) # 计算动量排名 def get_momentum_rank(etf_list, period): momentum_dict = {} for etf in etf_list: # 获取历史价格 prices = attribute_history(etf, period, fields='close') # 计算收益率 returns = (prices['close'][-1] - prices['close'][0])/prices['close'][0] momentum_dict[etf] = returns # 按收益率降序排序 return sorted(momentum_dict.keys(), key=lambda x: momentum_dict[x], reverse=True) # 调整持仓 def adjust_position(context, to_hold): # 卖出当前持仓中不在目标列表的标的 for etf in context.portfolio.positions: if etf not in to_hold: order_target_value(etf, 0) # 买入目标标的 position_value = context.portfolio.total_value / len(to_hold) for etf in to_hold: order_target_value(etf, position_value) # 判断是否为调仓日 def is_trade_day(dt): # 示例为每月首个交易日调仓 today = dt.date() last_day = (dt - relativedelta(months=1)).date() return today.month != last_day.month 给上述代码解决一下如下问题开仓数量不能小于 100
03-08
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