Zipline installation on Google Colab

[rukawa917]

Dear Zipline Maintainers,

Before I tell you about my issue, let me describe my environment:

Environment

• Operating System: google colab (MAC OS)
• Python Version: google colab python (not sure)
• Python Bitness: not sure
• How did you install Zipline: !pip
• Python packages: not sure

Now that you know a little about me, let me tell you about the issue I am having:

Description of Issue

• What did you expect to happen? I can't seem to install zipline on google colab. An error came up and I ignored it and carried on with the example on the website.

• What happened instead? ModuleNotFoundError: No module named 'Zipline'

The above message popped up...

Here is how you can reproduce this issue on your machine:

Reproduction Steps

1. make a file in google colab
2. !pip install Zipline
3. Error! ...

What steps have you taken to resolve this already?

...

Anything else?

...

Sincerely,

rukawa917

[noobmaster29]

I haven't checked myself, but note that Zipline only works with Python 3.5 not Python 3.6.

[jason40418]

Currently, the Google Colab Python version is 3.6.9 and works through the POSIX, however, it could still install the Zipline package on this platform. I follow the official documentation to install it, and it could work to run without the benchmark.

You could also check manually as the following code:

[Input]
import os
import platform
import sys

print("OS Name:", os.name)
print("Platfrom:", platform.system())
print("Platform Version:", platform.release())
print("Python Version:", platform.python_version())

[Output]
OS Name: posix
Platform: Linux
Platform Version: 4.19.104+
Python Version: 3.6.9

Installation Step

1. Because of it run on GNU/Linux-based OS, you need to install the needed packages by running the following code first:

!apt-get install libatlas-base-dev python-dev gfortran pkg-config libfreetype6-dev hdf5-tools

2. You could run install the Zipline package command:

!pip install zipline

Notice that: You would get some error message like the following, but it could automate to solve these kind of issues. ERROR: xarray 0.15.1 has requirement pandas>=0.25, but you'll have pandas 0.22.0 which is incompatible. ERROR: scikit-image 0.16.2 has requirement networkx>=2.0, but you'll have networkx 1.11 which is incompatible. ...

3. You have to restart the runtime, click the top tools line Runtime > Restart Runtime.
4. Then you could set the Qundal API Key (You need to register an account.) to the environment variable.

import os
os.environ['QUANDL_API_KEY'] = 'Your Key'

5. Load the zipline and run the ingest command.

%load_ext zipline

!zipline ingest -b quantopian-quandl

6. Finally, you could run your trading algorithm without the benchmark.

%%zipline --start 2016-1-1 --end 2018-1-1 --no-benchmark
from zipline.api import order_target, record, symbol
import pandas as pd

def initialize(context):
    context.i = 0
    context.asset = symbol('AAPL')


def handle_data(context, data):
    # Skip first 300 days to get full windows
    context.i += 1
    if context.i < 300:
        return

    # Compute averages
    # data.history() has to be called with the same params
    # from above and returns a pandas dataframe.
    short_mavg = data.history(context.asset, 'price', bar_count=100, frequency="1d").mean()
    long_mavg = data.history(context.asset, 'price', bar_count=300, frequency="1d").mean()

    # Trading logic
    if short_mavg > long_mavg:
        # order_target orders as many shares as needed to
        # achieve the desired number of shares.
        order_target(context.asset, 100)
    elif short_mavg < long_mavg:
        order_target(context.asset, 0)

    # Save values for later inspection
    record(AAPL=data.current(context.asset, 'price'),
           short_mavg=short_mavg,
           long_mavg=long_mavg)

P.S.You could access this Notebook to see the full install record.

[VisheshJain112]

just running !pip install zipline works fine on Google colab

[RadCopperman]

Hello All, How about Zipline WITH Benchmark I am not using quantopian .. (I use Google Colab) Code: from zipline.data import bundles import os os.environ['QUANDL_API_KEY'] = 'XXXXXXXXXXXXXXXXXXXXXXX'

%%zipline --start 2016-1-1 --end 2017-12-31 --capital-base 10000.0 -o buy_and_hold.pkl

imports from zipline.api import order_percent, symbol, record from zipline.finance import commission bundles.ingest('quandl')

Error i got: no data for bundle 'quantopian-quandl' on or before 2020-12-10 14:37:21.206189+00:00 maybe you need to run: $ zipline ingest -b quantopian-quandl

How can I fix this error?

[rm-rf-etc]

AttributeError                            Traceback (most recent call last)
<ipython-input-15-48e32e2ff76d> in <module>()
      9 from pathlib import Path
     10 from dotenv import load_dotenv
---> 11 from zipline import run_algorithm
     12 from zipline.api import order, symbol
     13 # from oandapyV20.contrib.factories import InstrumentsCandlesFactory

3 frames
/usr/local/lib/python3.7/dist-packages/zipline/utils/pandas_utils.py in <module>()
    221 
    222 _INDEXER_NAMES = [
--> 223     '_' + name for (name, _) in pd.core.indexing.get_indexers_list()
    224 ]
    225 

AttributeError: module 'pandas.core.indexing' has no attribute 'get_indexers_list'

[george-adams1]

If you're running this in IPython or a Jupyter Notebook you should shut down the notebook and restart it again.

I had this issue in IPython and I shut it down and it worked when I rebooted it.

On Sun, Feb 28, 2021 at 5:26 AM Rob [email protected] wrote:

AttributeError Traceback (most recent call last) in () 9 from pathlib import Path 10 from dotenv import load_dotenv ---> 11 from zipline import run_algorithm 12 from zipline.api import order, symbol 13 # from oandapyV20.contrib.factories import InstrumentsCandlesFactory

3 frames /usr/local/lib/python3.7/dist-packages/zipline/utils/pandas_utils.py in () 221 222 INDEXER_NAMES = [ --> 223 '' + name for (name, _) in pd.core.indexing.get_indexers_list() 224 ] 225

AttributeError: module 'pandas.core.indexing' has no attribute 'get_indexers_list'

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