import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    from scipy import stats
    dataFileName='Input.xlsx'
    sheetName='Data'
    dataRaw=pd.read_excel(dataFileName,sheetname=sheetName)
    noData=len(dataRaw)
    import matplotlib.pylab as plt
    from sklearn.cross_validation import train_test_split
    from sklearn.cross_validation import cross_val_score
    from sklearn.preprocessing import StandardScaler
    import pandas as pd
    import numpy as np

    labels=['GasFlow','Pressureset','Temperature']
    x=dataRaw[labels]
    sm=pd.tools.plotting.scatter_matrix(x,alpha=0.2,figsize=(10,10),c='red',hist_kwds={'color':[burlywood']})
    [s.xaxis.label.set_rotaion(90) for s in sm.reshape(-1)]
    [s.yaxis.label.set_rotaion(0) for s in sm.reshape(-1)]


Here, the y-axis labels are overlapping with axis, 

my input data for first three variables:

My data is below:
GasFlow   Pressureset  Temperature
1.2       1.6          3.2
1.2       1.6          3.2
2.6       1.9          6.5 
1.2       1.6          3.2
2.6       1.9          6.5
1.2       1.6          3.2
1.2       1.6          3.2
2.6       1.9          6.5
1.2       1.6          3.2

ax.tick_params(axis='x', which='major', pad=10)
ax.tick_params(axis='y', which='major', pad=10)
ax.tick_params(axis='both', which='major', pad=10)