[Bug?] Ordered: True results in alphabetically ordering

[data-han]

Describe the bug
Not quite sure if this is a bug or a mistake in my set-up.

I have specified ordered: True in my yaml file and wants to validate the ordering of columns against the pandas dataframe which I will pass this into the schema.validate() function. However, it keeps raising error due to COLUMN_NOT_ORDERED and this is because the first column in my dataframe is not matching what the first column in the schema is.

Diving deeper, when i parse the yaml file using yaml.safe_loads(<>) and later check the schema using DataFrameSchema, the column ordering in this schema object becomes an alphabetically one and not the order which i have defined in the yaml file as shown below:

• Column order 1: GId
• Column order 2: Full name
• Column order 3: Access group

schema:
  schema_type: dataframe
  version: 0.18.0
  columns:
    **GId**:
      title: null
      description: null
      # dtype: object
      nullable: true
      checks: null
      unique: false
      coerce: false
      required: true
      regex: false
    **Full Name**:
      title: null
      description: null
      # dtype: object
      nullable: true
      checks: null
      unique: false
      coerce: false
      required: true
      regex: false
   **Access group**:
      title: null
      description: null
      # dtype: object
      nullable: true
      checks: null
      unique: false
      coerce: false
      required: true
      regex: false
ordered: true
...

With this set-up, i wanted to check if my dataframe's columns are in the order of this. However, when i run pa.DataFrameSchema().from_yaml(schema_content), it outputs the column in an alphabetically order which then determines that my dataframe's column ordering is wrong.

This is what the Pandera columns look like:

Schema DataFrameSchema(
    columns={
        'Access group': <Schema Column(name=Access group, type=None)>
        'GId': <Schema Column(name=Company ID, type=None)>
        'Full Name': <Schema Column(name=Create Date/Time, type=None)>

• [ Y] I have checked that this issue has not already been reported.
• [ Y] I have confirmed this bug exists on the latest version of pandera.
• (optional) I have confirmed this bug exists on the main branch of pandera.

Code Sample, a copy-pastable example

# Your code here
schema = pa.DataFrameSchema().from_yaml(schema_content)
schema.validate(df_manual_file, lazy=True)

Expected behavior

I should be able to specify the order of columns i want in the list of yaml and pandera shouldn't be ordering the columns alphabetically?

Schema DataFrameSchema(
    columns={
        'GId': <Schema Column(name=Company ID, type=None)>
        'Full Name': <Schema Column(name=Create Date/Time, type=None)>
         'Access group': <Schema Column(name=Access group, type=None)>
   
        

Desktop (please complete the following information):

• OS: [e.g. iOS ] : MacOS
• Browser: [e.g. chrome, safari] : not relevant
• Version: [e.g. 22]: latest

Screenshots

If applicable, add screenshots to help explain your problem.

when i print(schema) this gives me the first column as "Access group" and not GId

Additional context

Add any other context about the problem here.