Category "dataframe"

Count all NaNs in a pandas DataFrame

I'm trying to count NaN element (data type class 'numpy.float64')in pandas series to know how many are there which data type is class 'pandas.core.series.Seri

Review the \n (newline) values with proper representation in DataFrame

I have this: test = ['hey\nthere'] Output: ['hey\nthere'] And when I insert in into the DataFrame it stays the same way: test_pd = pd.DataFrame({'salute': test

Python code to return element value in dataframe based on another dataframe

I have a dataset similar to this generated from a file with yearly data d1 = pd.DataFrame({'category': ['A', 'B', 'C', 'D', 'E', 'F'], 'col

How to add new edges to the stellargraph dataset?

I need to add some extra edges to Cora dataset using stellargraph. Is there ane way to add edges to the current dataset in stellargraph library? import stellarg

How to filter for variables in a column of one df from another df's column with unequal length in R?

I am trying to select for variables in a column of a DF using the variables from a column in another DF with different length. I am using Dplyer to filter. DF1

Limit writing of pandas to_excel to 1 million rows per sheet

I have a dataFrame with around 28 millions rows (5 columns) and I'm struggling to write that to an excel, which is limited to 1,048,576 rows, I can't have that

Placeholder for DataFrame in pd.query

I use pd.query and pd.eval a lot. However, sometimes I find myself in situations where I would like to filter an unnamed DataFrame with pd.query and it would be

Random Sampling base on 1 column after Groupby

I have a Spark Table, which contains 400+ millions records/rows. I used spark.table to convert it into a DF. The DF looks like this below id pub_date

Replacing ID values of polygons in a geodataframe to values of polygons from another geodataframe

I have polygons inside another bigger single polygon and I want to be able to replace the ID values (for example) of the former polygon to that of the latter. S

How we can use mutimap_agg function in spark sql and also suggest if any equivalent or alternative function to this

Can anyone help how multimap_agg function in SQL and can be used in spark sql

Display count on top of seaborn barplot

I have a dataframe that looks like: User A B C ABC 100 121 OPEN BCD 200 255 CLOSE BCD 500 134 OPEN DEF 600 1

Im getting a different output than expected when using df.loc to change some values of the df

I have a data frame, and I want to assign a quartile number based on the quartile variable, which gives me the ranges that I later use in the for. The problem i

unable to iterate through all files present in a folder

# Folder Path path = "/content/gdrive/MyDrive/data files" # Change the directory os.chdir(path) # Read text File def read_text_file(file_path):

TypeError while tokenizing a column in Spark dataframe

I'm trying to tokenize a 'string' column from a spark dataset. The spark dataframe is as follows: df: index ---> Integer question ---> String This is h

Having coding line graphs after iloc command line

I'm trying to graph a line with the x- axis being the hour to the sum of 24 hours and the y axis being the sums of the first 4 .15 min increments of kWh values.

How do I change the values in a pandas column that are selected by a regex?

I'm cleaning up data for a personal project and am standardizing the large number of categories. The seemingly low hanging fruit have similar enough names such

how to get smallest index in dataframe after using groupby

If create_date field does not correspond to period between from_date and to_date, I want to extract only the large index records using group by 'indicator' and

Printing values in new columns based on a condition from another column

I have a following dataframe: Time Tab User Description 27.10.2021 15:58:00 Tab Alpha [email protected] Tab Alpha of type PARTSTUDIO opened by User A 27.10.2021

Comparing two panda dataframes with different size

I want to compare two dataframes with content of 1s and 0s. I run for loops to check every element of the dataframes and at the end, I want to replace the "1" v

Can I store a Parquet file with a dictionary column having mixed types in their values?

I am trying to store a Python Pandas DataFrame as a Parquet file, but I am experiencing some issues. One of the columns of my Pandas DF contains dictionaries as