In [1]:

    

import hydropy as hp


    

In [2]:

    

hp.draw_map(width=800)


    

    
Out[2]:




Use HydroCloud.org to find a stream gauge. Click on the red dots to learn more about a site.

In [3]:

    

help(hp.draw_map)


    

    




Help on function draw_map in module hydropy.ipython:

draw_map(width=700, height=400)
    Draw an interactive map from hydrocloud.org.
    
    Places a map of USGS stream gauges from hydrocloud.org into an IFrame and
    displays it in an IPython interactive session.  To use the map, click on
    the red dots to display information about each USGS stream gauge.
    
    Args:
    -----
        width (int): The width of the map iframe.
        height (int): The height of the map iframe.
    
    Returns:
    --------
        HTML display object.
    
    Example:
    --------
        >>> import hydropy as hp
        >>> hp.draw_map()
        A map is drawn.
    
        >>> hp.draw_map(width=900, height=600)
        A big map is drawn!
    
    TODO:
    -----
        - use ipywidgets to allow users to click on the map, and this will
            return a value that can be used in another IPython cell. This
            feature would allow the map to act as an interactive site selection
            tool.

In [6]:

    

hp.draw_map?


    

In [5]:

    

help(hp)


    

    




Help on package hydropy:

NAME
    hydropy - # Hydropy

DESCRIPTION
    Analysis of hydrological oriented time series.
    
    This package is especially designed to simplify the collection and analysis of
    hydrology data in an interpretive Python session.  Use HydroPy in a Jupyter
    notebook and save your analysis so that you can recreate your procedures and
    share them with others.  
    
    Hydropy uses the power of Numpy and Pandas to quickly process large datasets.
    
    Matplotlib and Seaborn are built-in to Hydropy, allowing you to create
    publication-ready diagrams quickly and easily.
    
    Try Hydropy in a notebook: hydropy_tutorial.ipynb
    
    Hydropy is available through [Github](https://github.com/stijnvanhoey/hydropy)
    and [PyPI](https://pypi.python.org/pypi/hydropy). The easiest way to use it is
    with the Anaconda scientific distribution. If you have Anaconda, or if you
    already have numpy, pandas, and matplotlib installed, then use Pip to install
    hydropy like this::
    
        $ pip install hydropy
    
    ## Basic Usage::
    
        >>> import numpy as np
        >>> import pandas as pd
    
        >>> import hydropy as hp
        >>> flowdata = pd.read_pickle("./data/FlowData")
        >>> flowdata.head()
    
        >>> myflowserie = hp.HydroAnalysis(flowdata)
        >>> myflowserie.get_year('2009').get_season('summer').plot(figsize=(12,6))

PACKAGE CONTENTS
    baseflow
    composition
    exceptions
    flowanalysis
    ipython
    old_tests
    reading_third_party_data
    storm

DATA
    __license__ = 'BSD'
    __title__ = 'hydropy'
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    c:\users\marty\google drive\pydev\src\hydropy\hydropy\__init__.py

In [5]:

    

hp.startsession()


    

    




---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-5-5756248fa4bd> in <module>()
----> 1 hp.startsession()

AttributeError: module 'hydropy' has no attribute 'startsession'

In [6]:

    

hp?