So, i started off w initializing a function called def(count_digit) # Write a function which takes a number as an input # It should count the number of digits in the number # And check if the number is a 1 or 2-digit number then return True # Return False for any other case def ..
i am trying to filter this dataset with multiple conditions using loc The data is coming from an Excel file that I imported using df = pd.read_csv() Here is sample structure from the df using df.head() : df.head() need to filter on the following (columns) criteria: State-Gov, Bachelors, Never-Married, Adm-Clerical, Not-in-family, White, Male, United States, ..
Currently I’m trying to find the word "stolen base" in my list. I did find the word "stolen base". In my dataframe these are my results. Hitters Play by Play Stolen Base Player A ‘Swinging Strike, Ball, Player A advances to 1st (hit by pitch),’ 0 Player B ‘Swinging Strike, Swinging Strike, Ball, Player A ..
Basically i’m new to python and i’m still grasping what filter and map does. So, good with that. Theres a program I came across, so basically the dataset has all sort of gibberish like links and int and strings and a lot of stuff. It sorta looks like : [[158023, ‘https://sofifa.com/player/158023/lionel-messi/20/159586’, ‘L. Messi’, ‘Lionel Andrés ..
I need help to filter html output, here the output: button /div div class="b-header_actions-item m-account" div id="csrf-token-element" data-token-name="csrf_token" data-token-value="WHAT I WANT" Is it possible to filter this out? Thanks Source: Python..
#This is what I do to filter the df: enter code here#start_date = ‘2021-08-12’ enter code here#end_date = ‘2021-09-11’ enter code here#after_start_date = data["savetime"] >= start_date enter code here#before_end_date = data["savetime"] <= end_date enter code here#between_two_dates = after_start_date & before_end_date enter code here#Aug_backups = data.loc[between_two_dates] #how can I make my program intelligent to capture month ..
is there a way to delete and create filters (without applying any) for a pivot within an Excel (*.xlsx) file using Python (maybe with win32com)? I don’t want to apply filters to change the pivot, I just want to make them available using python. Thus, (1) open the file (2) delete the filters (3) refresh ..
I have a problem regarding how to filter xlsx and csv data points with pandas. import pandas as pd df = pd.read_excel(“Wind.xlsx”) df.head() filter = df[[“WindSpeed”] > 2] ew=df[filter] print(ew) How come it will not return the value greater than 2? The result is an error which is the following: TypeError: ‘>’ not supported between ..
So Im picking apart this data set for different aggregations. I need to filter the set to only include rows from the month, prior to the current reporting month. I created all the date variables needed and they work: from datetime import date today = date.today() reportingyear = date.today().year reportingmonth = date.today().month – 1 reportingday ..
This question seems super easy but I just can’t figure it out. I have the following dataframe: watched_df = pd.DataFrame([[‘Love Death Robots’, ‘2016-01-29 14:04:22’, ‘Anna’], [‘James Bond’, ‘2016-02-29 14:04:22’, ‘Anna’], [‘Lord of the Rings’, ‘2016-09-29 14:04:22’, ‘BoB’], [‘The Hobbit’, ‘2016-10-29 14:04:22’, ‘Anna’], [‘Beauty and the Beast’, ‘2016-06-29 14:04:22’, ‘BoB’]], columns=[‘Title’, ‘Date’, ‘Profile_Name’]) watched_df.head() For each ..