Arrow direction to python

I am trying to annotate a scatter plot in Python 2.7 using Matplotlib. Here is the graph code:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.DataFrame(np.random.rand(5,3), columns=list('ABC'))
df.insert(0,'Annotation_Text',['ABC','DEF','GHI','JKL','mnop'])

q = 2
pqr = 1

# Scatter Plot:
x = df['A']
y = df.iloc[:,q]
plt.scatter(x, y, marker='o', label = df.columns.tolist()[q])

# Plot annotation:
plt.annotate(df.iloc[pqr,0]+', (%.2f, %.2f)' % (x.ix[pqr],y.ix[pqr]), xy=(x.ix[pqr], y.ix[pqr]), xycoords='data', xytext = (x.ix[pqr], y.ix[pqr]), textcoords='offset points', arrowprops=dict(arrowstyle='-|>'))

# Axes title/legend:
plt.xlabel('xlabel', fontsize=18)
plt.ylabel('ylabel', fontsize=16)
plt.legend(scatterpoints = 1)

plt.show()

      

        
        
        
      

    

As you can see, the main line is the line that starts with plt.annotate(df.iloc[pqr,0]+', (%...............

.

I think that the main problem lies in this part of the line plt.annotate()

: xytext = (x.ix[pqr], y.ix[pqr]), textcoords='offset points', arrowprops=dict(arrowstyle='-|>')

. Hence, it xytext = (x.ix[pqr], y.ix[pqr])

is just a tuple of the x and y coordinates of the data point to be annotated. Unfortunately this puts the annotation right at the data point, which is not what I want. I want to leave a space between the data point and the annotation text.

Also, I am having a problem with the arrow and annotation to this line. See below.

Problems:

• Currently, the annotation text overlaps the arrow. The annotation text is too close to the data point. I don't want it to be this close.
• Also the arrow points from right to left. I don't think I asked him to plot the arrow from right to left, so I don't know why it draws the arrow in that direction.

Is there a way to control the text annotation so that there is no overlap with the data point? Also, how do I change the direction of the arrow from right to left in direction a) best

or b) from left to right?