I have
a, b, c
u, 111, 112, 113
v, 121, 122, 123
x, 131, 132, 133
and
b, c, d
x, 211, 212, 213
y, 221, 222, 223
z, 231, 232, 233
I want to arrive at:
a, b, c, d
u, 111, 112, 113, NaN
v, 121, 122, 123, NaN
x, 131, 343, 345, 213
y, NaN, 221, 222, 223
z, NaN, 231, 232, 233
Here the common data is added. If they are not common the data is retained. If the data is not present on either DF NaN
is added.
This is like an "outer" add of 2 DataFrames.
You can use df.add
over axis 1 with fill_value
param.
# df
# a b c
# u 111 112 113
# v 121 122 123
# x 131 132 133
#df1
# b c d
# x 211 212 213
# y 221 222 223
# z 231 232 233
df.add(df1, axis=1, fill_value=0)
a b c d
u 111.0 112.0 113.0 NaN
v 121.0 122.0 123.0 NaN
x 131.0 343.0 345.0 213.0
y NaN 221.0 222.0 223.0
z NaN 231.0 232.0 233.0
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