How can I group by below table from Customer ID and Product Code and get them to one row as below using Python? Customer ID Product Code Days since the last
I'm trying to plot some points on a map, and when searching on the internet, I found [this][1] tutorial with Google Maps and Bokeh library. The problem is that,
I am very novice in python and I treat to extract emotions from sentence in datafram though senticNet this my code but its not correct I don't know what's the
In pandas, I have 2 columns, one of which is a dictionary and the other is a numerical column. When the dictionary column is not null, is there a time efficient
I have a csv file of several thousands of rows in multiple languages and I am thinking of using google cloud translate API to translate foreign language text in
I have data that I would like to train an ml classifier on. The data is in wide format. I'd like to do a boxplot with searborn sns.boxplot(x='
I am currently using random_sample to generate weightage allocation for 3 stocks where each row values add up to 1 and I rounded them to 2dp. weightage=[] n = 0
I have a data frame with many column. One of the column is named 'attributes' and in it has a list of dictionary with keys and values. I want to extract each ke
a= {'A' : [1, 2,3,4], 'B' : ['FOOTBALL','BASKETBALL','HANDBALL','VOLLEYBALL'], 'C' : [[5,10,15,40],[1,4],[20,10,40],[10,40]] } How can I remove the element 40
I am trying to apply my own function. Below you can see the data and function. import pandas as pd import numpy as np data_test = { 'sales_201
I'm doing some modification to a CSV via pandas. For one of the situations, I want to use parse a URL into a list, grab the last two items of that list, and out
I've looked around for a solution and tried filtering my df to where the longitude and latitude are not null but to no avail. This is my first time using geopy
I'm trying to join column values into new column but I want to skip nan values: df['col'] = 'df['col1'].map(str) + ',' + df['col2'].map(str) + ',' + df['col3'].
What is pivot? How do I pivot? Is this a pivot? Long format to wide format? I've seen a lot of questions that ask about pivot tables. Even if they don't know t
I have a 2D array with vectorised rows with each row representing a document in the corpus: array[[ 0.0 0.0 0.4583 0.6584 0.0] ...
I have data format in these multiple columns. So I want to bring all 4 columns of data into a single column. YEAR Month pcp1 pcp2 pcp3 pcp4 1984
I am trying to remove Japanese stopwords from a text corpus from twitter. Unfortunately the frequently used nltk does not contain Japanese, so I had to figure o
I've a Pandas dataframe with continuous sequence of ones and zeroes, as follows: import numpy as np import pandas as pd m = np.array([[1, 1, 1, 1], [1, 1, 1, 0
I'm trying to get Ts using my existing data of data and time, which looks like (Pdb) df[0][:7] 0 [Data & Time] 1 Jan 01 08:00:01.193 2 Jan 01 08
Say I have just 2 columns in pandas. Column 1 has all numerical values and column 2 has values only at the every 16th position (so column 2 has value at index 0