title: matplotlib - Incorrect Y Values Being Displayed
body: <p>When generating a scatter, I'm getting incorrect Y values being displayed. I'm assuming this is due to the number being quite large. Is there a way to display the actual number itself to make the graphs more readable?</p>
  <p>The graph code is:</p>
  <pre><code>dataset = pd.read_csv('Regression.csv')
      fund_figs, axes = plt.subplots(1, 41)
      dataset.plot(kind='scatter', x='Avon and Somerset', y='Total Funding', ax=axes[0], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Bedfordshire', y='Total Funding', ax=axes[1], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Cambridgeshire', y='Total Funding', ax=axes[2], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Cheshire', y='Total Funding', ax=axes[3], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Cleveland', y='Total Funding', ax=axes[4], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Cumbria', y='Total Funding', ax=axes[5], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Derbyshire', y='Total Funding', ax=axes[6], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Devon and Cornwall', y='Total Funding', ax=axes[7], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Dorset', y='Total Funding', ax=axes[8], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Durham', y='Total Funding', ax=axes[9], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Dyfed-Powys', y='Total Funding', ax=axes[10], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Essex', y='Total Funding', ax=axes[11], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Gloucestershire', y='Total Funding', ax=axes[12], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Greater Manchester', y='Total Funding', ax=axes[13], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Gwent', y='Total Funding', ax=axes[14], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Hampshire', y='Total Funding', ax=axes[15], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Hertfordshire', y='Total Funding', ax=axes[16], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Humberside', y='Total Funding', ax=axes[17], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Kent', y='Total Funding', ax=axes[18], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Lancashire', y='Total Funding', ax=axes[19], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Leicestershire', y='Total Funding', ax=axes[20], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Lincolnshire', y='Total Funding', ax=axes[21], figsize=(150, 8))
      dataset.plot(kind='scatter', x='London, City of', y='Total Funding', ax=axes[22], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Merseyside', y='Total Funding', ax=axes[23], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Norfolk', y='Total Funding', ax=axes[24], figsize=(150, 8))
      dataset.plot(kind='scatter', x='North Wales', y='Total Funding', ax=axes[25], figsize=(150, 8))
      dataset.plot(kind='scatter', x='North Yorkshire', y='Total Funding', ax=axes[26], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Northamptonshire', y='Total Funding', ax=axes[27], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Nottinghamshire', y='Total Funding', ax=axes[28], figsize=(150, 8))
      dataset.plot(kind='scatter', x='South Wales', y='Total Funding', ax=axes[29], figsize=(150, 8))
      dataset.plot(kind='scatter', x='South Yorkshire', y='Total Funding', ax=axes[30], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Staffordshire', y='Total Funding', ax=axes[31], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Suffolk', y='Total Funding', ax=axes[32], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Surrey', y='Total Funding', ax=axes[33], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Sussex', y='Total Funding', ax=axes[34], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Thames Valley', y='Total Funding', ax=axes[35], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Warwickshire', y='Total Funding', ax=axes[36], figsize=(150, 8))
      dataset.plot(kind='scatter', x='West Mercia', y='Total Funding', ax=axes[37], figsize=(150, 8))
      dataset.plot(kind='scatter', x='West Midlands', y='Total Funding', ax=axes[38], figsize=(150, 8))
      dataset.plot(kind='scatter', x='West Yorkshire', y='Total Funding', ax=axes[39], figsize=(150, 8))
      dataset.plot(kind='scatter', x='Wiltshire', y='Total Funding', ax=axes[40], figsize=(150, 8))
  </code></pre>
  <p>The Y values are generated as:
  <a href="https://i.stack.imgur.com/EAV9z.png" rel="nofollow noreferrer">https://i.stack.imgur.com/EAV9z.png</a></p>
  <p>Any help is greatly appreciated.</p>