What i want to do should be very simple. Essentially, I have some dataframe, I need assign some tuple value to some column.
for example:
pd_tmp = pd.DataFrame(np.random.rand(3,3))
pd_tmp["new_column"] = ("a",2)
I just need a new column with tuple value, what should i do?
ValueError: Length of values does not match length of index
The previous code gets the error.
We need to send this list of tuples as a parameter to the pandas. DataFrame() function. The Pandas DataFrame object will store the data in a tabular format, Here the tuple element of the list object will become the row of the resultant DataFrame.
We can create a DataFrame from a list of simple tuples, and can even choose the specific elements of the tuples we want to use.
DataFrame - assign() function The assign() function is used to assign new columns to a DataFrame. Returns a new object with all original columns in addition to new ones. Existing columns that are re-assigned will be overwritten. The column names are keywords.
set_value() function put a single value at passed column and index. It takes the axis labels as input and a scalar value to be placed at the specified index in the dataframe.
You can wrap the tuples in a list:
import pandas as pd
pd_tmp = pd.DataFrame(np.random.rand(3,3))
pd_tmp["new_column"] = [("a",2)] * len(pd_tmp)
pd_tmp
#          0           1           2    new_column
#0  0.835350    0.338516    0.914184    (a, 2)
#1  0.007327    0.418952    0.741958    (a, 2)
#2  0.758607    0.464525    0.400847    (a, 2)
                        I was looking for something similar, but in my case I wanted the tuple to be a combination of the existing columns, not just a fixed value. I found the solution below, which I share hoping it will be useful to others, like me.
In [24]: df
Out[24]:
      A     B
0     1     2
1    11    22
2   111   222
3  1111  2222
In [25]: df['D'] = df[['A','B']].apply(tuple, axis=1)
In [26]: df
Out[26]:
      A     B             D
0     1     2        (1, 2)
1    11    22      (11, 22)
2   111   222    (111, 222)
3  1111  2222  (1111, 2222)
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