title: How to save a seaborn plot as svg or png
body: <p>Hi all I have been trying to save my output chart with <code>plt.savefig(&quot;coeff.png&quot;)</code> as <strong>svg or png</strong> but what I get is only a blank picture.</p>
  <p>Is there anyway I could get my plots exported as a picture format?</p>
  <p>Below is my code.</p>
  <pre><code># These are the (standardized) coefficients found
  # when it refit using that best alpha
  list(zip(X.columns, LGBMR.feature_importances_))
  
  #Now let's make it more presentable in Pandas DataFrame and also in standard form for numbers
  df_LGBM_model_coefficients = pd.DataFrame(list(zip(X_train.columns, LGBMR.feature_importances_)))
  df_LGBM_model_coefficients.rename(columns={0:'Features', 1: 'Coefficients'}, inplace=True)
  
  df_LGBM_model_coefficients = df_LGBM_model_coefficients.iloc[1:]
  df_LGBM_model_coefficients = df_LGBM_model_coefficients.sort_values(by = 'Coefficients', ascending = False)
  
  #only retain the important ones.
  df_LGBM_model_coefficients_top_10 = df_LGBM_model_coefficients.head(10)
  
  
  
  plt.figure(figsize=(12,12))
  sns.set_style('whitegrid')
  sns.set(font_scale=0.8)
  
  ax = sns.barplot(x = 'Coefficients',y='Features', data = df_LGBM_model_coefficients_top_10)
  ax.set_title(&quot;LGBMR Top 10 Features and their coefficients&quot;)
  
  for p in ax.patches:
      ax.annotate(&quot;%.1f&quot; % p.get_width(), (p.get_x() + p.get_width(), p.get_y() + 0.8), xytext=(5, 10), textcoords='offset pixels')
  plt.show()
  plt.savefig(&quot;coeff.png&quot;)
  </code></pre>