Following code is working c1 = da[‘A’]<=50 c2 = da[‘A’]>=35 df = da[c1 & c2][‘B’] But how can I write this in one line? Source: Python..
Category : dataframe
I have this: test = [‘heynthere’] Output: [‘heynthere’] And when I insert in into the DataFrame it stays the same way: test_pd = pd.DataFrame({‘salute’: test}) Output: salute 0 heynthere But I want it to be shown properly: salute 0 hey there How could I do this? Thanks! Source: Python..
This code will count the number of elements in column c2 that have value greater than or equal 3 import pandas as pd df = pd.DataFrame({‘c1’: [‘A’, ‘B’,’C’,’D’,’E’], ‘c2′: [3, 1, 0,2,5]}) count=df.loc[:,’c2’] count=count[~ (count<3)] count=count.shape[0] Is there a direct way of counting these elements instead of a three line code? Source: Python..
-)I’m working on an automation task in python wherein in each row the 1st negative value should be added up with the 1st non-negative value from the left. Further, the result should replace the positive value and 0 should replace the negative value -)This process should continue until the entire row contains all negative or ..
I am trying to upload a txt file which contains data as below . I have around 1M records in the file . Data consist of different fields (which is to be columns ) in which I have manually added a comma as a delimiter. The challenge is all the records does not have the ..
I have a dataframe for which I need to groupedby specific columns ONLY and filter by only value say if the column is state to only appear Texas only row values. What python code should I use? Source: Python..
I want to extract data and create new data frame of Country code, Country name , Population and Area from "http://download.geonames.org/export/dump/countryInfo.txt" in jupyter notebook country codes | country names | population| Area in sqkm thank you Source: Python..
How can I replace all ", " (i.e. comma then space) with "_" except when ", " (comma then space) is followed by the word "LLC" or "Inc" (then do nothing)? I want to change: "Banana, orange" "Grape, LLC" "Apple, pear, Inc" To this: "Banana_orange" "Grape, LLC" "Apple_pear, Inc" I thought it would start with ..
I have the following piece of code where I’m trying to perform a group by aggregation on a pivot table and concatenate the resulting aggregation back into the pivot table dataframe. But I’m having issues joining tables of different levels. import pandas as pd data = [ ["alice", "school 1", "math", 95], ["alice", "school 1", ..
I have tested many different options to append a value to a certain cell in a dataframe, but couldn’t figure out yet how to do it, nor have found any relevant on my researches. I have a series/column of my dataframe that starts with ‘False’ in all positions. Then it starts receiving value with time, ..
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