Remove unused code

bindings/pydeck/pydeck/data_utils/binary_transfer.py

@@ -1,7 +1,5 @@
 import numpy as np
 
-from .type_checking import is_pandas_df
-
 # Grafted from
 # https://github.com/maartenbreddels/ipyvolume/blob/d13828dfd8b57739004d5daf7a1d93ad0839ed0f/ipyvolume/serialize.py#L219
 def array_to_binary(ar, obj=None, force_contiguous=True):
@@ -36,40 +34,6 @@ def serialize_columns(data_set_cols, obj=None):
     return payload
 
 
-def deserialize_columns(value, obj=None):
-    pass
-
-
-def binary_to_array(value, obj=None):
-    return np.frombuffer(value["data"], dtype=value["dtype"]).reshape(value["shape"])
-
-
-def convert_df_to_matrix(df, obj=None, force_contiguous=True):
-    """
-    Flattens a pandas.DataFrame into a row-major format array
-
-    In this implementation, `position` | `color`
-
-    lng | lat | r | g | b
-    ----+-----+---+---+---
-     0.0  0.0  140   5   5
-    -1.0  1.0  100  10  10
-
-    becomes
-
-    [[0.0, 0.0, 140, 5, 5], [-1.0, 1.0, 100, 10, 10]]
-
-    """
-    if df is None or not is_pandas_df(df):
-        return None
-    matrix = df.values
-    try:
-        return array_to_binary(matrix)
-    except ValueError as e:
-        raise Exception("Binary conversion failed with message:", e)
-
-
-array_seralization = dict(to_json=array_to_binary, from_json=None)
 data_buffer_serialization = dict(
-    to_json=serialize_columns, from_json=deserialize_columns
+    to_json=serialize_columns, from_json=None
 )

bindings/pydeck/pydeck/data_utils/type_checking.py

@@ -12,14 +12,3 @@ def is_pandas_df(obj):
         Returns True if object is a Pandas DataFrame and False otherwise
     """
     return obj.__class__.__module__ == 'pandas.core.frame' and obj.to_records and obj.to_dict
-
-
-def is_numpy_array(obj):
-    """Check if an object is a numpy array
-
-    Returns
-    -------
-    bool
-        Returns True if object is a numpy array, False otherwise
-    """
-    return 'numpy.ndarray' in str(obj.__class__) and obj.to_list