Matplotlib - why scatter plot markers are stretched?

Community matplotlib-users
1

I was creating scatter plot using matplotlib with python2.7 script and it
worked totally fine. I then upgraded my python script from python2.7 to 3.6
now and the markers in the plot are stretched, not sure why this is
happening. Please help me with this.
<http://matplotlib.1069221.n5.nabble.com/file/t5171/comparison.png>

Data:
    table1.index freq_table1['VarFreq']
                   1 0.2
                   2 0.4
                   3 0.7
                   4 1.0

Code:
        fig = plt.figure(figsize=(20,16))
  ax1 = fig.add_subplot(1,1,1)
  ax1.scatter(table1.index, table1['VarFreq'], color='r', label=VCF1_legend,
marker="*")
  ax1.scatter(table2.index, table2['VarFreq'], color='blue',
label=VCF2_legend, marker="+")
  plt.legend(loc='upper right')
  ax1.set_title('VarFreq correlation, fontsize=20)
  plt.savefig('WESPP_frequency_comparison.png', dpi=600 )

···

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2

What is the data type of the the index?

Can you give us a copy-pasteble example (if we change your example to fill
in the missing variables we may miss a key detail and not be able to
reproduce the issue). Generating random data is usually a good approach
here.

···

On Thu, Jul 19, 2018 at 10:33 AM Gopi1616 <gopisiva1616 at gmail.com> wrote:

I was creating scatter plot using matplotlib with python2.7 script and it
worked totally fine. I then upgraded my python script from python2.7 to 3.6
now and the markers in the plot are stretched, not sure why this is
happening. Please help me with this.
<http://matplotlib.1069221.n5.nabble.com/file/t5171/comparison.png&gt;

Data:
    table1.index freq_table1['VarFreq']
                   1 0.2
                   2 0.4
                   3 0.7
                   4 1.0

Code:
        fig = plt.figure(figsize=(20,16))
        ax1 = fig.add_subplot(1,1,1)
        ax1.scatter(table1.index, table1['VarFreq'], color='r',
label=VCF1_legend,
marker="*")
        ax1.scatter(table2.index, table2['VarFreq'], color='blue',
label=VCF2_legend, marker="+")
        plt.legend(loc='upper right')
        ax1.set_title('VarFreq correlation, fontsize=20)
        plt.savefig('WESPP_frequency_comparison.png', dpi=600 )

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http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html
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Thomas Caswell
tcaswell at gmail.com
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