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How to solve R Error in xj[i] : invalid subscript type ‘list’

by Suf | Jul 26, 2022 | Programming, R, Tips

This error occurs when you try to use a list to subset a data frame. You can solve this error by using the c function to subset the data frame based on a vector. For example, df_subset <- df[c(“x”, “z”)] df_subset This tutorial will go...

How to Solve R Error: invalid (do_set) left-hand side to assignment

by Suf | Jul 25, 2022 | Programming, R, Tips

This error occurs if you try to create a variable with a name beginning with a number. You can solve this error by ensuring the variable starts with a letter or a dot. You can see the documentation for syntactically valid names by typing the following command:...

How to Find the Column Name with the Largest Value for Each Row using R

by Suf | Jul 24, 2022 | Programming, R, Tips

You can find the column name with the largest value across all rows using the colnames() function together with the apply function. For example, df$largest_col <-colnames(df)[apply(df, 1, which.max)] This tutorial will go through how to perform this task with code...

How to Solve Python TypeError: can only concatenate tuple (not “str”) to tuple

by Suf | Jul 23, 2022 | Programming, Python, Tips

This error occurs when we try to concatenate a tuple with a string. You can solve the error by ensuring that you concatenate either two tuples or two strings. For example, tup = (‘hexagon’, ‘pentagon’, ‘rhomboid’) tup2 =...

How to Solve Python ValueError: cannot set a row with mismatched columns

by Suf | Jul 22, 2022 | Programming, Python, Tips

This error occurs when you try to add a new row to a DataFrame but the number of values does not match the number of columns in the existing DataFrame. You can solve this error by ensuring the number of values in the new row matches the number of columns in the...

How to Solve Python ValueError: You are trying to merge on object and int64 columns

by Suf | Jul 22, 2022 | Programming, Python, Tips

This error occurs when you try to merge two DataFrames but the column in one DataFrame is type int64 and the other column is type object. You can solve this error by converting the column of type object to int64 using the astype() method before merging. For example,...
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