How to create a dataframe from csv file without the index column (using python pandas)?

My script uses pd.read_csv('example.csv') to create data frames in python using pandas. The original CSV files being read only have two columns, but the data frame created by this read_csv method is prepended with sort of an index-like column.

CSV before reading it:

text     100
text     200
text     300
text     400

but after reading it:

         text     100
0        text     200
1        text     300
3        text     400

For the life of me, I can't get rid of that first column. Everything I try instead deletes the second column. I've tried a number of suggestions found online including:

df = df.iloc[: , 1:] (from here)

df = df.drop(df.columns[[0]], axis=1) (from here)

df = df.drop("", 1) from here

For each of those, I either get an error or it removes the second column, leaving me with:

         100
0        200
1        300
3        400

UPDATES:

I have also tried: df = pd.read_csv('example.csv', index_col=False) and I still get the index column.