WebDec 28, 2024 · In this article, we will discuss how to convert a list to a dataframe row in Python. Method 1: Using T function This is known as the Transpose function, this will convert the list into a row. Here each value is stored in one column. Syntax: pandas.DataFrame (list).T Example: Python3 import pandas as pd list1 = ["durga", "ramya", … WebMay 23, 2024 · Since you mentioned that length would be more than 34 only if there are more than 1 team, so simple solution would be to check the length first, if more than 34, then do a split at / and get the first team: df ['your_column'] = df ['your_column'].apply (lambda x: x.split ('/') [0] if len (x) > 34 else x) Share Improve this answer Follow
pandas Tutorial => Slicing strings
WebFeb 20, 2024 · Here is my solution to slice a data frame by row: def slice_df (df,start,end): return spark.createDataFrame (df.limit (end).tail (end - start)) Share Improve this answer Follow answered Dec 31, 2024 at 16:19 G. Cohen 584 4 4 Add a comment -2 Providing a much less complicated solution here more similar to what was requested: (Works in … WebAug 9, 2012 · is it possible to slice the dataframe and say (c = 5 or c =6) like THIS: ---> df [ ( (df.A == 0) & (df.B == 2) & (df.C == 5 or 6) & (df.D == 0))] – yoshiserry Dec 5, 2014 at 3:53 df [ ( (df.A == 0) & (df.B == 2) & df.C.isin ( [5, 6]) & (df.D == 0))] or df [ ( (df.A == 0) & (df.B == 2) & ( (df.C == 5) (df.C == 6)) & (df.D == 0))] imperial castable refractory cement
DataFrame, date_range(), slice() in Python Pandas library
WebWith extract, it is necessary to specify at least one capture group. expand=False will return a Series with the captured items from the first capture group. .str.split and .str.get Splitting works assuming all your strings follow this consistent structure. Web1 day ago · Currently I have dataframe like this: I want to slice the dataframe by itemsets where it has only two item sets For example, I want the dataframe only with (whole mile, soda) or (soda, Curd) ... I tried to iterate through the dataframe. But, it seems to be not appropriate way to handle the dataframe. Web2 hours ago · I have a DataFrame with one single column named "time" (int64 type) which has Unix time format which I want to convert it to normal time format (%Y %M %D %H %M %S), but I just keep getting error. here is my code: df_time ["time"] = pd.to_datetime (df_time ["time"], unit='s') and I received this error: lit cara bobochic