'how to find the sum of a dataframe?
while finding sum as follows
g.loc[g.index[0], 'sum'] = g[RDM].sum()
where RDM is
RDM = [f"R_Dist_meas_{i}" for i in range(48)]
the error was as follows:
KeyError: "None of [Index(['R_Dist_meas_0', 'R_Dist_meas_1', 'R_Dist_meas_2',\n .........................'R_Dist_meas_45', 'R_Dist_meas_46', 'R_Dist_meas_47'],\n dtype='object')] are in the [columns]"
the sample dataframe is as follows,it have many other column other than distance(angle,velocity etc..) The format of dataframe is A0B0C0 A1B1C1 A2B2C2 A3B3C3 ....... A47B47C47
| R_Dist_meas_0 |R_vel_meas_0 | R_Dist_meas_1 |R_vel_meas_1 | R_Dist_meas_2 |R_vel_meas_2 |--------| R_Dist_meas_47 |R_vel_meas_47 |
|---------------|-------------|---------------|-------------|---------------|-------------|
| 5 | | | | | |
| | | | |10 | |
| | | | | 8 | |
| 2 | | 8 | | | |
the sum = 33
How to solve it?
Solution 1:[1]
Your list comprehension will go out of bounds if you try to search the dataframe since you only have columns up to R_Dist_meas_2. If you try to use the RDM as header keys you will be looking for columns not rows.
sum(g.iloc[:,:2].sum())
Excluding the sum outside, this allows you to sum up the rows of each column seperately and then add their totals for the final summation. This should give you the sum you are looking for.
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 |