text: user10684: I am using the below script to get the histogram plot for all values together. However, I want a single plot but different colours for different groups (A, B, C)
  data file
  Group_name  code-1    code-2    Expression
  GroupA  6  6  1.21
  GroupA  6  8  0.611
  GroupA  6  1  0.448
  GroupA  6  3  0.3587
  GroupB  8  6  0.611
  GroupB  8  8  2.11
  GroupB  8  1  0.60113
  GroupB  8  3  0.534858
  GroupC  1  6  0.448
  GroupC  1  8  0.60113
  GroupC  1  1  2.2
  GroupC  1  3  0.622206
  
  Script
  import matplotlib.pyplot as plt
  import seaborn as sns
  plt.rcParams["figure.figsize"] = (12,8)
  
  g1 = sns.histplot(df.Expression)
  g1.set(
      xlim=(-2,2),
      title="Expression"
  )
  g1.axvline(0.0, c='black', linestyle="--")
  g1.axvline(df.Expression.median(), c='red', linestyle="--")
  
  ```
  
  
  user16575: Just change your g1 = sns.histplot(df.Expression)
  to g1 = sns.histplot(data=df, x="Expression", hue="Group_name")
  Here's the full code:
  import matplotlib.pyplot as plt
  import seaborn as sns
  import pandas as pd
  
  plt.rcParams["figure.figsize"] = (12,8)
  
  df = pd.DataFrame({
      "Group_name": ["GroupA", "GroupA", "GroupA", "GroupA", "GroupB", "GroupB", "GroupB", "GroupB", "GroupC", "GroupC", "GroupC", "GroupC"],
      "code-1": [6, 6, 6, 6, 8, 8, 8, 8, 1, 1, 1, 1],
      "code-2": [6, 8, 1, 3, 6, 8, 1, 3, 6, 8, 1, 3],
      "Expression": [1.21, 0.611, 0.448, 0.3587, 0.611, 2.11, 0.60113, 0.534858, 0.448, 0.60113, 2.2, 0.622206]
  })
   
  g1 = sns.histplot(data=df, x="Expression", hue="Group_name")
  g1.set(
      xlim=(-2,2),
      title="Expression"
  )
  g1.axvline(0.0, c='black', linestyle="--")
  g1.axvline(df.Expression.median(), c='red', linestyle="--")
  
  g1.figure.savefig("hist.png")
  
  '''
  
original_text: 10684: <p>I am using the below script to get the histogram plot for all values together. However, I want a single plot but different colours for different groups (A, B, C)</p>
  <p><code>data file</code></p>
  <pre><code>Group_name  code-1    code-2    Expression
  GroupA  6  6  1.21
  GroupA  6  8  0.611
  GroupA  6  1  0.448
  GroupA  6  3  0.3587
  GroupB  8  6  0.611
  GroupB  8  8  2.11
  GroupB  8  1  0.60113
  GroupB  8  3  0.534858
  GroupC  1  6  0.448
  GroupC  1  8  0.60113
  GroupC  1  1  2.2
  GroupC  1  3  0.622206
  </code></pre>
  <p><code>Script</code></p>
  <pre><code>import matplotlib.pyplot as plt
  import seaborn as sns
  plt.rcParams[&quot;figure.figsize&quot;] = (12,8)
  
  g1 = sns.histplot(df.Expression)
  g1.set(
      xlim=(-2,2),
      title=&quot;Expression&quot;
  )
  g1.axvline(0.0, c='black', linestyle=&quot;--&quot;)
  g1.axvline(df.Expression.median(), c='red', linestyle=&quot;--&quot;)
  
  <span class="math-container">```</span>
  </code></pre>
   16575: <p>Just change your <code>g1 = sns.histplot(df.Expression)</code>
  to <code>g1 = sns.histplot(data=df, x=&quot;Expression&quot;, hue=&quot;Group_name&quot;)</code></p>
  <p>Here's the full code:</p>
  <pre><code>import matplotlib.pyplot as plt
  import seaborn as sns
  import pandas as pd
  
  plt.rcParams[&quot;figure.figsize&quot;] = (12,8)
  
  df = pd.DataFrame({
      &quot;Group_name&quot;: [&quot;GroupA&quot;, &quot;GroupA&quot;, &quot;GroupA&quot;, &quot;GroupA&quot;, &quot;GroupB&quot;, &quot;GroupB&quot;, &quot;GroupB&quot;, &quot;GroupB&quot;, &quot;GroupC&quot;, &quot;GroupC&quot;, &quot;GroupC&quot;, &quot;GroupC&quot;],
      &quot;code-1&quot;: [6, 6, 6, 6, 8, 8, 8, 8, 1, 1, 1, 1],
      &quot;code-2&quot;: [6, 8, 1, 3, 6, 8, 1, 3, 6, 8, 1, 3],
      &quot;Expression&quot;: [1.21, 0.611, 0.448, 0.3587, 0.611, 2.11, 0.60113, 0.534858, 0.448, 0.60113, 2.2, 0.622206]
  })
   
  g1 = sns.histplot(data=df, x=&quot;Expression&quot;, hue=&quot;Group_name&quot;)
  g1.set(
      xlim=(-2,2),
      title=&quot;Expression&quot;
  )
  g1.axvline(0.0, c='black', linestyle=&quot;--&quot;)
  g1.axvline(df.Expression.median(), c='red', linestyle=&quot;--&quot;)
  
  g1.figure.savefig(&quot;hist.png&quot;)
  </code></pre>
  <p>'''<a href="https://i.stack.imgur.com/1snf8.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/1snf8.png" alt="New output" /></a></p>
  