Advertisements I have the following snippet from an example dataframe: df = pd.DataFrame({‘location’: [‘Seattle’, np.nan, ‘Portland’, ‘San Francisco’], ‘time’: [‘2022-06-01 12:00:00’, ‘2022-06-01 13:00:00’, ‘2022-06-01 14:00:00’, ‘2022-06-01 15:00:00’]}) I would like to retrieve the rows where location = nan as well as the non-nan row above and below. So that it will be as such df… Read More Get row with NaN as well as preceding and following NaN row

Advertisements I have a pandas dataframe. It has a particular column which may or may not contain a continuous set of values as NaN’s in its starting and ending. Also, it may or may not contain NaN’s intermittently in between as well. My objective is to eliminate only all those rows where NaN’s may intermittently… Read More How to only remove rows with NaN that are not at the beginning or end of the pandas Dataframe column?

Advertisements I am attempting to create a simple site map using Plotly. I can’t use scatter_geo because I am using known X, Y coordinates relative the site – not lat/long. px.Scatter or go.Scatter seem to be a viable option for a mostly simple map. So, I have a dataframe from that essentially looks like: Location… Read More Plotly px.Scatter or go.Scatter Graph Unique Color/Symbol for specific points (Simple Map)

Advertisements Let’s say I have a data frame like this: import pandas as pd data1 = { "date": [1, 2, 3], "height": [420.3242, 380.1, 390], "height_new": [300, 380.1, "nan"], "duration": [50, 40, 45], "feeling" : ["great","good","great"] } df = pd.DataFrame(data1) And I want to update the "height" column with the "height_new" column but not when… Read More Using Python Pandas, can I replace values of one column in a df based on another column only when a "nan" value does not exist?

Advertisements The blank cells with no data can be checked with: if pd.isna(dataframe.loc[index_name, column_name] == True) but if the cell has #N/A, the above command does not work nor dataframe.loc[index, column_name] == ‘#N/A’. On reading that cell, it shows NaN, but the above codes does not work. My main target is to capture the release… Read More How to detect #N/A in a data frame (data taken from xlsx file) using pandas?

Advertisements Have the following function that searches a query for a match and returns NaN if no match was found: int64_t Foo::search(const std::string& foo, int64_t t0, … if { … } else return std::numeric_limits<int64_t>::quiet_NaN(); } >Solution : std::numeric_limits<T>::quiet_NaN(); is only meaningful if T is a floating point type for which std::numeric_limits<T>::has_quiet_NaN(); is true. So, no,… Read More Is using std::numeric_limits<T>::quiet_NaN() a bad practice?

Advertisements This is my dataframe. I need to delete the row with all the values in d1,d2,d3,c1,c2,c3 are Nan. no d1 d2 d3 c1 c2 c3 0 59890 28.4 32.2 31.3 40.7 40.0 39.6 1 55679 NaN 32.8 31.5 37.3 39.2 39.4 2 58900 NaN NaN NaN NaN NaN NaN 3 76522 34.0 32.4 32.6… Read More how to remove a column in dataframe if the specified column values are NaN

Advertisements Let’s say have the following database: {‘docdb_family_id’: {0: 569328, 1: 574660, 2: 1187498, 3: 1226468, 4: 1236571, 5: 1239098, 6: 1239277, 7: 1239483, 8: 1239622, 9: 1239624, 10: 1239749, 11: 1334477, 12: 1340405, 13: 1340418, 14: 1340462, 15: 1340471, 16: 1340485, 17: 1340488, 18: 1340508, 19: 1340519, 20: 1340541}, ‘newa_cited_docdb’: {0: ‘[ 596005 4321416… Read More Explode data in a list not separated by comma

Advertisements this is my MATLAB code with the following output: pad=nan(1,5) pad = NaN NaN NaN NaN NaN I want to do the same operation in python, I tried np.isnan(1,6) but this is not working. what should I used to get the same results. thank you >Solution : You can use np.full() to create a… Read More What is equivalent of Matlab nan( ) in python?

Advertisements I have the following dataset: structure(list(media = c(56.257, NA, NA, 56.256, 56.267, NA, NA, 56.265, 56.262, 56.259, 56.265, 56.263, 56.265, 56.262, 56.264, NaN, 56.268, 56.265, 560.26, 5600.2, 56.265, 56.262, 56.263, 56.264, 56.263, 56.265, 56.271, 56.271, 56.28, 56.281), cycle_rounded = structure(c(1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600, 1604487600,… Read More Convert outliers and NA in a dataframe to NaN