APPEND
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Append a single data point to an array. The large array must be passed to the bottom "array" connection.
For ordered pair, the single point must have a shape of 1 (or (1,)). Params: primary_dp : OrderedPair|Vector|Scalar|Matrix|DataFrame|None Input that ends up "on top" of the resulting DataContainer. secondary_dp : OrderedPair|Vector|Scalar|Matrix|DataFrame Input that ends up "on the bottom" of the resulting DataContainer. Returns: out : OrderedPair, Matrix, DataFrame, Vector
Python Code
from numpy import append
from flojoy import flojoy, OrderedPair, Matrix, DataFrame, Vector, Scalar
@flojoy
def APPEND(
primary_dp: OrderedPair | Matrix | DataFrame | Scalar | Vector | None,
secondary_dp: OrderedPair | Matrix | DataFrame | Scalar | Vector,
) -> OrderedPair | Matrix | DataFrame | Vector | Scalar:
"""Append a single data point to an array.
The large array must be passed to the bottom "array" connection.
For ordered pair, the single point must have a shape of 1 (or (1,)).
Parameters
----------
primary_dp : OrderedPair|Vector|Scalar|Matrix|DataFrame|None
Input that ends up "on top" of the resulting DataContainer.
secondary_dp : OrderedPair|Vector|Scalar|Matrix|DataFrame
Input that ends up "on the bottom" of the resulting DataContainer.
Returns
-------
OrderedPair, Matrix, DataFrame, Vector
"""
if isinstance(primary_dp, OrderedPair) and isinstance(secondary_dp, OrderedPair):
x0 = primary_dp.x
y0 = primary_dp.y
x1 = secondary_dp.x
y1 = secondary_dp.y
if y1.shape[0] != 1:
raise ValueError(
(
"To append, APPEND node the requires the non-array "
"input to have a single point. "
f"The data passed has a shape of: {y1.shape}"
)
)
x = append(x0, x1)
y = append(y0, y1)
return OrderedPair(x=x, y=y)
elif isinstance(primary_dp, Matrix) and isinstance(secondary_dp, Matrix):
m0 = primary_dp.m
m1 = secondary_dp.m
m = append(m0, m1, axis=0)
return Matrix(m=m)
elif isinstance(primary_dp, Vector) and isinstance(secondary_dp, Vector):
v0 = primary_dp.v
v1 = secondary_dp.v
v = append(v0, v1, axis=0)
return Vector(v=v)
elif isinstance(primary_dp, Vector) and isinstance(secondary_dp, Scalar):
v0 = primary_dp.v
v1 = secondary_dp.c
v = append(v0, [v1], axis=0)
return Vector(v=v)
elif isinstance(primary_dp, Scalar) and isinstance(secondary_dp, Scalar):
c0 = primary_dp.c
c1 = secondary_dp.c
v = append([c0], [c1], axis=0)
return Vector(v=v)
elif isinstance(primary_dp, DataFrame) and isinstance(secondary_dp, DataFrame):
df0 = primary_dp.m
df1 = secondary_dp.m
df = df0._append(df1, ignore_index=True)
return DataFrame(df=df)
# When primary_dp is None during the first loop:
elif primary_dp is None and isinstance(secondary_dp, Scalar):
return secondary_dp
elif primary_dp is None and isinstance(secondary_dp, OrderedPair):
return secondary_dp
else:
raise ValueError(
(
"The APPEND node requires the two inputs to be the same type. "
f"The types passed were: {type(primary_dp)} and {type(secondary_dp)}"
)
)
Example App
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In this example, LINSPACE and RAND generate an ordered pair with random y values.
This array is then passed a loop which uses the APPEND node to append a new random y value to the ordered pair.
The SCATTER node is updated each loop showing how the APPEND node works,