locate a particular date in python multiindex dataframe

I have a date = '21/11/2018'

And I have a dataframe, columns are val1, val2, val3.

My df is multiindex. currency is first level, aud and eur, and next is a datetime with a time of day, called time_x.

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 0.724300     

2018-11-21 08:00:00    0.349 8.0 0.725500     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 0.724300     

2018-11-21 11:00:00    0.349 8.0 0.725500     

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

I want to make val3 = np.nan, when the index=date.

The issue im having is that:

df.loc[(df.index.get_level_values('time_x') == date)]

gives nothing because I think the index has a time associated to it?

Thanks in advance.

expected output:

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 nan     

2018-11-21 08:00:00    0.349 8.0 nan     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 nan          

2018-11-21 11:00:00    0.349 8.0 nan          

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

add a comment |

I have a date = '21/11/2018'

And I have a dataframe, columns are val1, val2, val3.

My df is multiindex. currency is first level, aud and eur, and next is a datetime with a time of day, called time_x.

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 0.724300     

2018-11-21 08:00:00    0.349 8.0 0.725500     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 0.724300     

2018-11-21 11:00:00    0.349 8.0 0.725500     

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

I want to make val3 = np.nan, when the index=date.

The issue im having is that:

df.loc[(df.index.get_level_values('time_x') == date)]

gives nothing because I think the index has a time associated to it?

Thanks in advance.

expected output:

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 nan     

2018-11-21 08:00:00    0.349 8.0 nan     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 nan          

2018-11-21 11:00:00    0.349 8.0 nan          

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

add a comment |

I have a date = '21/11/2018'

And I have a dataframe, columns are val1, val2, val3.

My df is multiindex. currency is first level, aud and eur, and next is a datetime with a time of day, called time_x.

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 0.724300     

2018-11-21 08:00:00    0.349 8.0 0.725500     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 0.724300     

2018-11-21 11:00:00    0.349 8.0 0.725500     

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

I want to make val3 = np.nan, when the index=date.

The issue im having is that:

df.loc[(df.index.get_level_values('time_x') == date)]

gives nothing because I think the index has a time associated to it?

Thanks in advance.

expected output:

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 nan     

2018-11-21 08:00:00    0.349 8.0 nan     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 nan          

2018-11-21 11:00:00    0.349 8.0 nan          

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

I have a date = '21/11/2018'

And I have a dataframe, columns are val1, val2, val3.

My df is multiindex. currency is first level, aud and eur, and next is a datetime with a time of day, called time_x.

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 0.724300     

2018-11-21 08:00:00    0.349 8.0 0.725500     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 0.724300     

2018-11-21 11:00:00    0.349 8.0 0.725500     

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

I want to make val3 = np.nan, when the index=date.

The issue im having is that:

df.loc[(df.index.get_level_values('time_x') == date)]

gives nothing because I think the index has a time associated to it?

Thanks in advance.

expected output:

                       val1  val2  val3

aud time_x

2018-11-22 12:00:00    0.280 10.0 0.72420    

2018-11-21 18:00:00    0.292 9.0 nan     

2018-11-21 08:00:00    0.349 8.0 nan     

2018-11-20 11:00:00    0.343 7.0 0.725200     

2018-11-19 06:00:00    0.347 6.0 0.724900

eur

2018-11-22 16:00:00    0.280 10.0 0.72420    

2018-11-21 21:00:00    0.292 9.0 nan          

2018-11-21 11:00:00    0.349 8.0 nan          

2018-11-20 06:00:00    0.343 7.0 0.725200     

2018-11-20 06:00:00    0.347 6.0 0.724900

python

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

asked Nov 22 '18 at 13:27

Junaid Mohammad

1779

add a comment |

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