I have a data frame with the following column: I want to return a column with single value based on a conditional statement. I wrote the following function: When running the function on the column df.withColumn(“col”, filter_func(“raw_col”)) I have the following error col should be Column What’s wrong here? What should I do? Answer You can use array_contains function: But
Tag: pandas
How to speed up successive pd.apply with successive pd.DataFrame.loc calls?
df has 10,000+ lines, so this code is taking a long time. In addition for each row, I’m doing a df_hist.loc call to get the value. I’m trying to speed up this section of code and then option I’ve found so far is using: But this forces me to use index based selection for row instead of value selection: which
Find unique column values out of two different Dataframes
How to find unique values of first column out of DF1 & DF2 DF1 DF2 Output This is how Read Answer TRY: NOTE : Replace 0 in subset= [0] with the first column name.
Converting string in a Pandas data frame to float
I have the following data frame: In order to calculate with the second column named “Marktwert”, I have to convert the string as a float, the sting has German format, that means the decimal point is a comma and the thousands separator is a dot. The number 217.803,37 has the datatype object. If I try to convert using the code
Rename column names through the loop (Python)
I have a table: I have the table like this: asd bsd tsd pzd … 20 15 10 5 … 20 15 10 5 … 20 15 10 5 … 20 15 10 5 … I want to rename all my column names with the pattern like this ‘param’+ (index_column +1) through the loop Desired output: param1 param2 param3 param4
What is the best practice to convert HTTP timestamps to standard format during dataframing using pandas in python?
I’m trying to convert HTTP timestamps into standard timestamp for complete data framing and getting time-series plots. I’m looking for an efficient way to do this for the large dataset. My actual data frame is as follows: I have tried couple of the following methods and get errors: This returns me NaT which is strange! I updated the format and
comparing multiple columns in dataframe (more than 2)
I have a data frame my code requirement all the ranks must be different then 1 else 0 but I am getting b also as 1 Answer We can filter the rank like columns, then use nunique along axis=1 to check for the occurrence of N unique values
AttributeError: ‘dict’ object has no attribute ‘data’
An error occurred while executing the KNN algorithm. I don’t know where the error occurred. Can anyone help me? Please. There is a code below. I don’t know why, but the code was cut. Answer One line defines: That’s a dict comprehension statement In the next loop you have It’s that use of .data that’s giving problem. With a dict
Matplotlib flattens the first of two plots when I add the second plot?
Matplotlib madness… However, when I try to run a cumulative plot of any kind, MPL flattens the first plot and plots the second relative to it: I’m doing stock analysis, and trying to plot returns relative to the existing closing price. I don’t understand why MPL is flatting the first plot – or how to make it stop. Thanks for
No module named pandas in conda command prompt
I’m trying to run a script made on spyder that runs with no problem. But when I try to run the same script it says Pandas is not installed. But I checked on my conda env e seems to be already installed. Why this happens? Answer Problem You are using pip python’s default package manager to install a package in