Python3.4 pandas安装

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pandas0.18.1下载地址：
https://pypi.python.org/pypi/pandas#downloads

安装方法：
在命令行下录入：pip install pandas-0.18.1-cp34-cp34m-win32.whl

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如果import pandas出错如下：
C:\Users\joeblow\Desktop\repos\BitBucket\basketball>python test.py
Traceback (most recent call last):
  File "test.py", line 1, in <module>
    import pandas as pd
  File "C:\Python27\lib\site-packages\pandas\__init__.py", line 13, in <module>
    "extensions first.".format(module))
ImportError: C extension: No module named numpy not built. If you want to import
pandas from the source directory, you may need to run 'python setup.py build_ex
t --inplace' to build the C extensions first.


可以升级pandas和numpy:
pip --upgrade pandas

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pip install --upgrade pandas

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pandas函数汇总：
'Categorical', 'CategoricalIndex', 'DataFrame', 'DateOffset', 'DatetimeIndex', 'ExcelFile', 'ExcelWriter', 'Expr', 'Float64Index', 'Grouper', 'HDFStore', 'Index', 'IndexSlice', 'Int64Index', 'MultiIndex', 'NaT', 'Panel', 'Panel4D', 'Period', 'PeriodIndex', 'RangeIndex', 'Series', 'SparseArray', 'SparseDataFrame', 'SparseList', 'SparsePanel', 'SparseSeries', 'SparseTimeSeries', 'Term', 'TimeGrouper', 'TimeSeries', 'Timedelta', 'TimedeltaIndex', 'Timestamp', 'WidePanel', '__builtins__', '__cached__', '__doc__', '__docformat__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', '__version__', '_np_version_under1p10', '_np_version_under1p11', '_np_version_under1p12', '_np_version_under1p8', '_np_version_under1p9', '_period', '_sparse', '_testing', '_version', 'algos', 'bdate_range', 'compat', 'computation', 'concat', 'core', 'crosstab', 'cut', 'date_range', 'datetime', 'datetools', 'dependency', 'describe_option', 'eval', 'ewma', 'ewmcorr', 'ewmcov', 'ewmstd', 'ewmvar', 'ewmvol', 'expanding_apply', 'expanding_corr', 'expanding_count', 'expanding_cov', 'expanding_kurt', 'expanding_max', 'expanding_mean', 'expanding_median', 'expanding_min', 'expanding_quantile', 'expanding_skew', 'expanding_std', 'expanding_sum', 'expanding_var', 'factorize', 'fama_macbeth', 'formats', 'get_dummies', 'get_option', 'get_store', 'groupby', 'hard_dependencies', 'hashtable', 'index', 'indexes', 'infer_freq', 'info', 'io', 'isnull', 'json', 'lib', 'lreshape', 'match', 'melt', 'merge', 'missing_dependencies', 'msgpack', 'notnull', 'np', 'offsets', 'ols', 'option_context', 'options', 'ordered_merge', 'pandas', 'parser', 'period_range', 'pivot', 'pivot_table', 'plot_params', 'pnow', 'qcut', 'read_clipboard', 'read_csv', 'read_excel', 'read_fwf', 'read_gbq', 'read_hdf', 'read_html', 'read_json', 'read_msgpack', 'read_pickle', 'read_sas', 'read_sql', 'read_sql_query', 'read_sql_table', 'read_stata', 'read_table', 'reset_option', 'rolling_apply', 'rolling_corr', 'rolling_count', 'rolling_cov', 'rolling_kurt', 'rolling_max', 'rolling_mean', 'rolling_median', 'rolling_min', 'rolling_quantile', 'rolling_skew', 'rolling_std', 'rolling_sum', 'rolling_var', 'rolling_window', 'scatter_matrix', 'set_eng_float_format', 'set_option', 'show_versions', 'sparse', 'stats', 'test', 'timedelta_range', 'to_datetime', 'to_msgpack', 'to_numeric', 'to_pickle', 'to_timedelta', 'tools', 'tseries', 'tslib', 'types', 'unique', 'util', 'value_counts', 'wide_to_long'