`Project.from_pandas()` creates duplicate `sample_name` column in sample table

[nleroy917]

Issue

When instantiating a peppy.Project() object using the from_pandas method, a duplicate sample_name column is created in the resultant pandas.DataFrame object.

Expected Behavior

I would expect only one sample_name column to be present when the table is instantiated.

Steps to reproduce

1. Create fresh virtual env:

   python -m venv .venv && source .venv/bin/activate
   pip install --upgrade pip && pip install peppy

2. Create the sample table file:

   cat sample_table.csv
   sample_name,protocol,file
   frog_1,anySampleType,data/frog1_data.txt
   frog_2,anySampleType,data/frog2_data.txt

3. Load peppy/pandas and create new Project() object using from_pandas:

   
   import peppy
   import pandas as pd

df = pd.read_csv("sample_table.csv") p = peppy.Project().from_pandas(df) p.sample_table.to_csv("sample_table_processed.csv")

4. Observe duplicate sample_name column:
```console
cat sample_table_processed.csv
sample_name,sample_name,protocol,file
frog_1,frog_1,anySampleType,data/frog1_data.txt
frog_2,frog_2,anySampleType,data/frog2_data.txt

[khoroshevskyi]

After investigating peppy: it's not a problem with Project.from_pandas() function, it's how pandas is working. The problem that you mentioned: duplicated sample_name value it's not actually duplication. One sample_name is name of the index (row names) and second is actual value.

To solve this issue just add parameter index=False --> p.sample_table.to_csv(index=False)