pandas_utils.py

import pandas as pd
import matplotlib.pyplot as plt

# Assuming following csv format 
#
# time                 | Column_Name1 | Column_Name2
# --------------------------------------------
# 2017-02-31 12:00:00  | 1.05597      | 1.05557
# 2017-02-30 16:02:00  | 1.05560      | 1.05558
# 

# read csv data into pandas dataframe and use time column as an index
df = pd.read_csv('/path/to/file.csv', index_col='time', parse_dates=True)
df['Column_Name'] # accessing a column

# ploting a column
df['Column_Name1'].plot() # Or df.plot(y='Column_Name1')
plt.show()

# plotting a column vs time
df.plot(x='time', y='Column_Name2')
plt.show()

# plotting all columns vs time
df.plot(x='time')
plt.show()