prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [DOC] Remove example.py in examples directory
  The code in the example.py file currently reads some data frame from a file called 'dirty_data.xls'.
  We can change this to include a concrete example.
  
  </issue>
  <code>
  [start of examples/example.py]
  1 import pandas as pd
  2 
  3 import janitor as jn
  4 
  5 df = (
  6     pd.read_excel("dirty_data.xlsx")
  7     .clean_names()
  8     .remove_empty()
  9     .rename_column("%_allocated", "percent_allocated")
  10     .rename_column("full_time_", "full_time")
  11     .coalesce(["certification", "certification_1"], "certification")
  12     .encode_categorical(["subject", "employee_status", "full_time"])
  13     .convert_excel_date("hire_date")
  14 )
  15 
  16 print(df)
  17 print(df.original_names)
  18
  [end of examples/example.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/examples/example.py b/examples/example.py
  deleted file mode 100644
  --- a/examples/example.py
  +++ /dev/null
  @@ -1,17 +0,0 @@
  -import pandas as pd
  -
  -import janitor as jn
  -
  -df = (
  -    pd.read_excel("dirty_data.xlsx")
  -    .clean_names()
  -    .remove_empty()
  -    .rename_column("%_allocated", "percent_allocated")
  -    .rename_column("full_time_", "full_time")
  -    .coalesce(["certification", "certification_1"], "certification")
  -    .encode_categorical(["subject", "employee_status", "full_time"])
  -    .convert_excel_date("hire_date")
  -)
  -
  -print(df)
  -print(df.original_names)
  
verification_info: {"golden_diff": "diff --git a/examples/example.py b/examples/example.py\ndeleted file mode 100644\n--- a/examples/example.py\n+++ /dev/null\n@@ -1,17 +0,0 @@\n-import pandas as pd\n-\n-import janitor as jn\n-\n-df = (\n-    pd.read_excel(\"dirty_data.xlsx\")\n-    .clean_names()\n-    .remove_empty()\n-    .rename_column(\"%_allocated\", \"percent_allocated\")\n-    .rename_column(\"full_time_\", \"full_time\")\n-    .coalesce([\"certification\", \"certification_1\"], \"certification\")\n-    .encode_categorical([\"subject\", \"employee_status\", \"full_time\"])\n-    .convert_excel_date(\"hire_date\")\n-)\n-\n-print(df)\n-print(df.original_names)\n", "issue": "[DOC] Remove example.py in examples directory\nThe code in the example.py file currently reads some data frame from a file called 'dirty_data.xls'.\r\nWe can change this to include a concrete example.\n", "before_files": [{"content": "import pandas as pd\n\nimport janitor as jn\n\ndf = (\n    pd.read_excel(\"dirty_data.xlsx\")\n    .clean_names()\n    .remove_empty()\n    .rename_column(\"%_allocated\", \"percent_allocated\")\n    .rename_column(\"full_time_\", \"full_time\")\n    .coalesce([\"certification\", \"certification_1\"], \"certification\")\n    .encode_categorical([\"subject\", \"employee_status\", \"full_time\"])\n    .convert_excel_date(\"hire_date\")\n)\n\nprint(df)\nprint(df.original_names)\n", "path": "examples/example.py"}]}