Slice Copy error

[charlesedwards]

Hi,

When I run a simple command to add TA lib indicators to a Pandas Dataframe (in Python3), I get the slice copy error. Will this be resolved in the next release?

Code (were df is a pandas dataframe)

ta.add_trend_ta(
    df,
    colprefix="BTC:",
    **{k: "BTC:" + k for k in ['high', 'low', 'close']}
)

Note: the calculation work, but I get a lot of the following error messages.

Error Message:

C:\ProgramData\Anaconda3\lib\site-packages\ta\wrapper.py:95: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  close=df[close], high=df[high], low=df[low], n=10, fillna=fillna).average_true_range()
C:\ProgramData\Anaconda3\lib\site-packages\ta\wrapper.py:99: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  df[f'{colprefix}volatility_bbm'] = indicator_bb.bollinger_mavg()
C:\ProgramData\Anaconda3\lib\site-packages\ta\wrapper.py:100: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  df[f'{colprefix}volatility_bbh'] = indicator_bb.bollinger_hband()
C:\ProgramData\Anaconda3\lib\site-packages\ta\wrapper.py:101: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  df[f'{colprefix}volatility_bbl'] = indicator_bb.bollinger_lband()
C:\ProgramData\Anaconda3\lib\site-packages\ta\wrapper.py:102: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  df[f'{colprefix}volatility_bbw'] = indicator_bb.bollinger_wband()