WebJul 28, 2014 · I am reading an End of Day price csv file and use the date column to index the dataframe. I want to check the date of the last record. I get the index value location, but have not figured out how to get the actual date. CSV file has format of Date, Open, High, Low, .... Here Date is in the form 2014-07-28. Web1 day ago · The index specifies the row index of the data frame. By default the index of the dataframe row starts from 0. To access the last row index we can start with -1. Syntax df.index[row_index] The index attribute is used to access the index of the row in the data frame. To access the index of the last row we can start from negative values i.e -1.
pandas.DataFrame.last_valid_index — pandas 2.0.0 documentation
Webpandas.DataFrame.last. #. Select final periods of time series data based on a date offset. For a DataFrame with a sorted DatetimeIndex, this function selects the last few rows … WebJun 22, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. iowa state university high school track meet
How to select last row and access PySpark dataframe by index
WebAug 3, 2024 · Both methods return the value of 1.2. Another way of getting the first row and preserving the index: x = df.first ('d') # Returns the first day. '3d' gives first three days. According to pandas docs, at is the fastest way to access a scalar value such as the use case in the OP (already suggested by Alex on this page). WebMay 4, 2024 · For DataFrame df: import numpy as np index = df ['b'].index [df ['b'].apply (np.isnan)] will give you back the MultiIndex that you can use to index back into df, e.g.: df ['a'].ix [index [0]] >>> 1.452354 For the integer index: df_index = df.index.values.tolist () [df_index.index (i) for i in index] >>> [3, 6] Share Follow WebJun 27, 2016 · In a multi index pandas dataframe I want to access the last element of the second index for all values of the first index. The number of levels in the second index vary depending on the value of the first index. I went through the pandas multi index documentation but could not find anything that does that. For example, for the data … open house homes for sale near me