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2024-03-10 00:00:06
here is one line of code using Pandas to add up the values ​​in the "score" column before the date 2020-02-19: total_score_before_corona = df[df['date'] < '2020-02-19']['score'].sum()
Tags: python pandas
2024-03-10 21:30:07
This work fine for me: import numpy as np import pandas as pd data = b'\n\x00\x00\x00\x01\x00\x00\x00TEST\xa2~\x08A\x83\x11\xe3@\x05\x00\x00\x00\x03\x00\x00\x00TEST\x91\x9b\xd1?\x1c\xaa,@' dtype = n...
Tags: python pandas byte
2024-03-11 15:30:04
If need compare values without order use sorted or frozenset in DataFrame.apply: df1['OUTPUT'] = (df1[['A', 'B']].apply(sorted, axis=1).duplicated(keep=False) .map({Tru...
Tags: python pandas
2024-03-11 16:30:04
Assuming such an input, in which you want to remove "C": A B C 0 NaN NaN NaN 1 1.0 1.0 1.0 2 2.0 2.0 NaN 3 3.0 3.0 3.0 4 NaN 4.0 NaN You can remove the columns with inner Na...
Tags: pandas dataframe slice
2024-03-11 18:30:04
You can try to use pandas.io.formats.style.Styler: style = df.style.format({"colB": "0x{:02X}"}, precision=2) print(style.to_string(delimiter="\t")) Prints: colA colB colC colD 0...
Tags: python pandas
2024-03-11 22:30:04
You could convert to string and check if each cell contains a character other than 1 (or space/comma), if at least one True, keep the row: out = df[df.apply(lambda s: s.astype(str).str.contains('[^1 ,...
Tags: python pandas
2024-03-12 01:00:04
Use a set, aggregate with issuperset: Type = {3,4,5} df['Date'] = pd.to_datetime(df['Date']) keep = df.groupby('Date')['Type'].agg(Type.issubset) out = df[df['Date'].isin(keep.index[keep])] Varian...
Tags: python pandas
2024-03-12 02:00:06
All you need to do here is set the index to the column(s) you want to show row index labels for in your output. import pandas as pd # 1.5.3 df1 = pd.DataFrame({ 'name': ['Alice', 'Bob', 'Char...
Tags: python pandas dataframe
2024-03-12 02:30:05
You can use any(): list1 = [2, 3, 3] list2 = [3, 2, 3] print(any(l == list1 for l in pos["id"])) print(any(l == list2 for l in pos["id"])) Prints: True False
Tags: python pandas
2024-03-12 05:30:04
Try: import pandas as pd data = pd.DataFrame( pd.read_html( "https://www.geostat.ge/ka/modules/categories/26/samomkhmareblo-fasebis-indeksi-inflatsia", encoding="utf-8", )[0]...
Tags: python pandas

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