Data Visualisation for Dataframe having 3 columns
use matplotlib:

import matplotlib.pyplot as plt
%matplotlib inline
f, (ax1, ax2) = plt.subplots(1, 2)
ax1.plt(Data_X_err.min, Data_X_err.err)
ax2.plt(Data_X_err.max, Data_X_err.err)


Alternatively you could use seaborn's pairplot

import seaborn as sns
%matplotlib inline
sns.set(style="ticks")

sns.pairplot(df)