python - pandas dataframe plot columns -


After reading a series of files, I create a data frame with 7 columns:

Int64Index: 756 entries, 0 to 755

Data columns:

Furd (Hertz) 756 non-zero value

res_ohm * m 756 non-zero value

Step_made 756 non-zero value

IMCSI / M756 non-empty value

RMC / M756 non-empty value

C_el 756 non -No value

dated: 756 non-zero values ​​

dtypes: float64 (6), object (1)

then I call column 6 ) With 12 variables:

  pairs = = data_set.groupby ('C_el')   

21 in each group now I mean that every 21 lines I have a new unique dataset) 21 - Refers to column 1 (frames (hj), where i am using 21 frequencies for each dataset

What do I have to do, y scattered Plot - Column 1 on the x-axis (Fryt (Hertz), and column 3 (step_mrrd) on the Y axis - each data There will be an expression of 21 unique frequencies in the net, and I want to add all the available datasets on the same plot,

The last step, this is repeat for 11 remaining groups (as defined in an AirAir phase

I do not know it will really satisfy your needs, but I think the group By you can do a lot of favors for example, instead of the example code provided by you, you can do this instead:

  for the key, data_set.group In group ('C_el'): # - Define file name, path, etc. Also see the file name = key group.to_csv (filename, sep = '')   

documentation. Sorry, I can not help you with more details, but I hope it helps to move to some extent.

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