Name Time l

1 1.129 1G-d

1 0.113 1G-a

1 3.374 1B-b

1 3.367 1B-c

1 3.374 1B-d

2 3.355 1B-e

2 3.361 1B-a

3 1.129 1G-a

# Assigns the new data frame to "df" with the data from only three columns
header = ['Names','Time','l']
df = pd.DataFrame(df_2, columns = header)

# Sorts the data frame by column "Names" as integers
df.Names = df.Names.astype(int)
df = df.sort_values(by=['Names'])

# Changes the data to match format after converting it to int
df.Time=df.Time.astype(int)
df.Time = df.Time/1000

csv_file = df.to_csv(index=False, columns=header, sep=" " )

plt.xlim(0, 60)
plt.ylim(0, 18)
plt.legend(loc='best')
plt.show()